Data science professionals, check out these jobs by industry giants

The demand for data science professionals was huge in 2020, and it is only growing in 2021.

While industry giants have embraced the capabilities of data science, small and medium-sized businesses have started to leverage the power of data science to improve their business processes. Owing to digital transformation, data science practices help businesses make intelligent and data-backed smart decisions, formulate strategies to make better products and solutions, manage large amounts of data efficiently to get valuable insights and predict outcomes. To utilize most of these features to increase ROI, organizations are rapidly hiring data science professionals.

If you are a data scientist or analyst, check out these hottest job openings from companies around the globe and look for your next challenge.

1. Data Analyst, Revenue Intelligence

Company: Twitter

Location: San Francisco, USA

Responsibilities

• Develop strong collaborative relationships with key stakeholders in Sales, Finance, Operations, Engineering, IT, and across the company.
• Partner with Product, Engineering, IT, and Operations teams to design, develop & deliver robust and scalable reporting automation.
• Define data systems and tools with product and engineering to produce revenue dashboards and other business intelligence reports.
• Provide daily revenue insights to the CFO and executive team.
• Develop scalable reporting solutions for non-finance stakeholders.
• Simplify complex problems & huge data sets to extract non-obvious insights.
• Be part of a great team, but capable of operating independently – managing relationships, deliverables, and expectations with your business partners.
• Be personable, approachable, and able to connect with each and every person on the team and throughout the business.
• Remain detail-oriented while working across a wide variety of projects.

Qualifications

• Bachelor’s degree required, preferably in Mathematics, Computer Science, Statistics or a Business-related degree.
• At least 4 years of work experience.
• Advanced experience with SQL and pulling data from relational databases.
• Tableau/front end design for Business Intelligence.
• R or Python is a strong plus.
• Superior Excel and proficient PowerPoint skills.
• Web design and development and/or experience in Salesforce is beneficial.
• Demonstrated ability to work collaboratively across different functions and effectively influence senior business partners.
• Possess a demonstrable grasp of Twitter, mobile (i.e., device and carrier markets), web, and media markets.
• Exhibit an enthusiastic, can-do spirit and approach your work with curiosity, resilience, and a growth mindset in a fast-paced, dynamic, and often ambiguous work environment.
• Have a demonstrated commitment to ongoing personal growth and development.
• Passionate about technology and relish the opportunity to learn and apply new technical concepts to your work.
• An expert in SQL
• Demonstrated ability to work collaboratively across different functions and effectively influence senior business partners.
• Strong experience with Database Management systems and coding (Vertica, MySQL, Oracle, Python, Scala, Java) who enjoys solving complex and unstructured problems.
• Deep experience in Demonstrated ability to simplify complex data sets and extract non-obvious insights with frameworks and analyses.
• Strong ability to project manage and to remain detail-oriented while working with numerous stakeholders.
• Knowledge of the digital ad space is a strong plus.

2. Product Insights Analyst

Company: Apple

Location: Cupertino, USA

Job Summary

The Product Insights Analyst is responsible for measuring and reporting on the hardware quality of Apple’s products. This is an exciting opportunity to directly impact Apple’s customers’ experience and support Apple products throughout their life cycle.

Responsibilities

• A key resource to cross-functional teams.
• Analyze, develop and monitor visualizations and alerting mechanisms to detect quality excursions.
• Capability to handle multiple projects simultaneously and set priorities accordingly.
• Participate in feedback loops to continuously improve product quality and the customer experience.
• Articulate findings in the data and work closely with others to identify the root cause and implement corrective actions on products.

Qualifications

• 5 years of experience in manufacturing or customer support analysis.
• High proficiency experience with Tableau visualization, including large-scale dashboard deployment and maintenance.
• High proficiency with SQL and relational databases such as Teradata.
• Knowledge of coding/scripting in Python/Java.
• API data access/pipeline development.
• Data Science / ML experience.
• Knowledge of FileMaker.
• Knowledge of SAP material master, Bill of Materials a plus.
• Solid communication skills
• Expertise in converting business problems into technical solutions.
• Attention to detail.

3. Data Analyst, Quality Systems and Data Science

Company: Tesla

Location: Fremont, USA

Job Summary

Tesla’s Quality Systems and Analytics team is looking for a key player on the team who can help drive quality data analytics and help cross-functional engineering organizations to provide opportunities in product quality improvements. The candidate should have experience working with large data sets, finding the best ways to engineer the data to help create critical KPI metrics, building innovative visualizations and dashboards all the while keeping in mind what improvements can be driven in underlying data systems.

Responsibilities

• Analyze manufacturing, equipment, and vehicle data and extract useful statistics and insights about failures in order to drive meaningful improvements to product quality and customer experience.
• Work effectively with engineers and conducting end-to-end analyses, from data requirement gathering to data processing and modeling.
• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Identify data sources where the potential value is not fully realized and invent new means with which to interact and gather insights from them.
• Monitoring key product metrics, understanding root causes of changes in metrics
• Identify, analyze, and interpret trends or patterns in complex data sets and depict the story via dashboards and reports.
• Acquire data from primary or secondary data sources and maintain databases/data systems to empower operational and exploratory analysis.
• Maintaining existing data visualizations, data pipelines, and dashboard enhancement requests.
• Automating analyses and authoring pipelines using SQL, Python, Airflow, Kubernetes based ETL framework.
• Develop and maintain real-time data streaming and processing pipelines using Kafka.
• Drive underlying data systems improvement by working with key cross-functional stakeholders.
• Perform data quality validations to ensure data creation is as per the business needs and expectations.
• Work with management to prioritize business and information needs.

Qualifications

• BS/MS in Management Information Systems, Computer Science, Math, Physics, Engineering, Statistics, or other technical fields.
• 3+ years of work experience in data analytics or engineering-related fields.
• Strong knowledge of SQL and experience with multiple data architecture paradigms (MySQL, Microsoft SQL, Vertica, Oracle, Kafka, Spark).
• Proficient at ad-hoc analysis using SQL queries, python data analysis packages (e.g.Pandas, Numpy), report writing, and presenting findings.
• Proficient in data visualization techniques and tools using Tableau, Power BI, Superset, Matplotlib, Plotly, etc.
• Knowledge of various data communication protocols (e.g. REST API, Websockets).
• Strong understanding of various statistical techniques to effectively summarize data findings.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Strong knowledge of data warehousing concepts, data mining tools, and techniques
• Knowledge of manufacturing and service operations preferred.
• Able to work under pressure while collaborating and managing competing demands with tight deadlines.
• Excellent communication skills and ability to work with different business stakeholders to understand, identify and translate business challenges into data projects.
• A passion and curiosity for data and data-driven decision-making.

4. Data Scientist

Company: TikTok

Location: Singapore

Responsibilities

• Design and build advanced analytical solutions and products to deliver superior business outcomes using research and performing quantitative and qualitative analysis on markets, products and competitors.
• Prove the business impact of projects using methods like experimental designs, cohort matching, and causal inference.
• Understand underlying data sources and their limitations. Create innovative approaches to answer pressing questions, prepare complex data analyses and models that help solve issues, drive the scaling of automated processes and deliver significant measurable impact.
• Act as an analytics translator, communicating complex data insights through exploratory analysis and research to discover potential bottlenecks to suggest improvement and workflow of internal teams.
• Liaise with team members and management in understanding their data needs and providing data support.

Qualifications

• 2-7 years of hands-on mathematical modeling experience in a business environment.
• Proficiency in Python packages such as pandas, seaborn, scikit-learn, dplyr or nltk
• Advanced knowledge of statistical and data mining techniques (k-means clustering, regression, decision trees, clustering, neural networks, etc.).
• Proven experience in working with large datasets and relational databases (Hive, SQL)
• Ph.D. in quantitative fields like Computer Science, Engineering, Statistics, Mathematics, or related field required.
• Distinctive communications skills and ability to communicate analytical and technical content in an easy-to-understand way to both technical and non-technical audiences.
• Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes, and recommend solutions.

5. Data Scientist (Deep Learning)

Company: Binance

Location: Singapore

Job Summary

As a data scientist, you must be a quick learner with stellar machine learning skills, rich and solid experience from inception to business impact, strong communication capabilities, and work well in cross-functional teams (e.g. with data users from different marketing and consumer teams). This is a great opportunity to enhance your machine learning /data science skills in markets and familiarize yourself with Blockchain-based technology and etc. while making a real impact on Blockchain and Crypto-Currency technology globally.

Responsibilities

• Conduct applied research and development in AI applications that involve computer vision, natural language processing, speech processing, and other related techniques.
• Work closely with other team members on implementing algorithms that power user-focused products.
• Build and release models, and elevate customer experience and track impact over time.

Qualifications

• MSc or Ph.D. in Machine Learning, Computer Vision, Computer Science, or Applied Mathematics with at least 5 years of relevant industry experience.
• Excellent hands-on experience with popular ML frameworks such as PyTorch or TensorFlow.
• Fluent in English both written and spoken.
• Experience with application development practices at scale.

Preferred Qualifications

• Good experiences in Computer Vision particularly on OCR and text extract with deep learning-based end-to-end solutions.
• Good global team collaboration skills and experiences are good add-ons as well.
• Publication record at top conferences and journals is a plus.

6. Data Scientist (Car Experience)

Company: Spotify

Location: Stockholm, Sweden

Responsibilities

• Co-operate with cross-functional teams of data scientists, user researchers, product managers, designers, and engineers who are passionate about Spotify’s consumer experience.
• Design, implement, and maintain ETL pipelines in Scala and Google BigQuery.
• Perform analysis on large sets of data to extract impactful insights on user behavior that will help drive product, design decisions, and business performance.
• Communicate insights and recommendations to stakeholders across Spotify.
• Be a key partner in its work to build out the company’s product strategy so that it is relevant in the daily lives of consumers.
• You will work out of the Stockholm office.

Qualifications

• At least 3+ years relevant experience and a degree in computer science, engineering, statistics, mathematics, economics, or another quantitative subject area.
• Strong interpersonal skills and are comfortable working with multiple stakeholders
• Start-up mindset, comfortable with juggling multiple tasks at once. Prepared to tackle problems outside of one’s comfort zone.
• Know how to understand and tackle loosely defined problems and come up with relevant answers and impactful insights.
• Strong SQL skills and proficiency with Python, or similar programming languages, even better if experienced in Scala / Spark.
• Extensive experience using various analysis techniques, such as linear and logistic regression, significance testing, and statistical modeling.
• T-Shaped. Your primary area is data science but you are comfortable with the second area such as data engineering.
• Bonus point if experienced with Google Cloud Platform infrastructure.

7. Analyst, Creative Labs – EMEA

Company: Netflix

Location: Amsterdam, Netherlands

Responsibilities

• Leading and attending cross-functional meetings with partners to understand ongoing and upcoming product business objectives and prioritizing creative questions and ideas according to those business objectives (emerging markets, automation-assisted asset creation for scale, etc.).
• Prioritizing business objectives and ideas from key stakeholders to develop creative curiosities into testing hypotheses and strategies.
• Drafting and driving the execution of specific qualitative and quantitative analyses on the various creative assets.
• Collaborating with data science partners on metric, tooling, and dashboard development is crucial to providing feedback to creative design strategies.
• Partnering with product innovation partners to inform and ensure optimal execution of tests and related initiatives.
• Identifying opportunities specific to your market while staying highly aligned with your core Labs team and their objectives.
• Constantly documenting and communicating upcoming tests and changes in strategies and operations as they relate to the creative assets.
• Consistently rethinking and improving the ways by which we collect ideas, aggregate insights, and communicate those insights broadly.
• Addressing questions and issues related to tests and results surrounding creative assets from both engineering and creative producer partners.

Qualifications

• 6+ years of relevant work experience as an analyst, product manager, data scientist or creative program manager.
• Experience with A/B testing, data analysis, and ideation of new product features and processes.
• Ability to effectively distill and communicate complex concepts in a digestible manner.
• The soft skills to recognize when to challenge conventional thinking, the courage to voice suggestions and the maturity to accept feedback on ideas and work.
• Understanding of and passion for algorithms and machine learning.
• Demonstrated data fluency; comfortable with large datasets, constructing queries, designing data visualizations and extracting meaning from your analysis.
• Bachelor’s degree or higher.

8. Data Scientist

Company: Warner Bros. Entertainment

Location: Hamburg, Germany

Job Summary

In this role, you should be highly analytical with a talent for analysis, math, and statistics. Critical thinking and problem-solving skills are of course essential for interpreting and explaining data to normal human beings. You will be responsible for developing and building innovative data science solutions that utilize machine learning algorithms, statistical and quantitative modeling approaches to support content creation, marketing, distribution strategies, and other initiatives.

Responsibilities

• Building a data infrastructure in Amazon Web Services to ensure a holistic view of the data ecosystem.
• Responsible for reporting in media, programmatic & social.
• Develops data clusters for programmatic audience marketing & responsible for data segmentation.
• The Data Scientist will work in a team to get the best out of data for our business, find unseen patterns, and derive meaningful information for business decisions.
• Analyzing, compiling, cleansing, interpreting, joining, and staging data.
• Partner with content analytics and engineering teams to develop tools and foundational data sets for consumption from technical and non-technical stakeholders.
• Delivering business intelligence and data visualization dashboard solutions.
• The candidate should be a SQL expert; must be able to optimize queries and join datasets efficiently.
• Proven track record of performing comprehensive analyses independently.
• Synthesize large volumes of data and complex concepts into clear accessible learnings.
• Prepare and present data science results and analytical insights to stakeholders and leadership.

Qualifications

• Ability to swiftly gain competence with a range of custom management systems and tools (Business Intelligence, Data Dashboards, SAP).
• Experienced in DMP data segmentation.
• Experienced with Ad Words, FB Business Manager, YouTube Insights, Doubleclick, Sizmek Backends, Amazon Web Service infrastructure.
• Has a good understanding of technical web implementation (Pixel Code, HTML)
• Experienced with Python.
• Excellent written and oral German and English communication skills required.
• High tolerance for ambiguity and a fast-changing environment.
• Detail-oriented and cares about the quality of the input data as well as how the processed data is ultimately interpreted and used.
• Strong communicator, for both technical and non-technical audiences
• Excited to work in the entertainment industry.

9. Data Scientist

Company: McKinsey & Company

Location: Lisbon, Portugal

Job Summary

You will be involved in codifying the company’s best analytics expertise into a centralized library and methodology and delivering that library to clients.

In this role, you will deploy your analytics expertise into production, measuring and delivering tangible insights and value for the clients leveraging data science methodologies. You will create innovative approaches to answer McKinsey & Company’s clients’ most relevant questions around commercial topics and ensure that these approaches are codified and can be re-used. You will act as an analytics translator and as an owner of advanced pieces of analytics code. You will have a strong understanding of the design and development process of data analytics tools and experience working with data engineers, product teams, and clients. You will also help build the teams by collaborating with others across the practice and beyond and mentoring younger tenured colleagues.

Qualifications

• Bachelor’s degree in a quantitative field like computer science, engineering, statistics, mathematics, or related field; advanced degree is a strong plus.
• 2+ years of hands-on data scientist mathematical modeling experience in a business environment or equivalent.
• Proficiency in Python, R.
• Advanced knowledge of statistical and data mining techniques (regression, decision trees, clustering, neural networks, etc.)
• Proven experience in working with large datasets and relational databases (SQL)
• Knowledge of additional programming languages is a plus (C++, Java).
• Intellectual curiosity along with excellent problem-solving and quantitative skills including the ability to disaggregate issues, identify root causes, and recommend solutions.
• Strong leadership skills; ability to inspire others, build strong relationships and create true followership.
• Result-driven, demonstrating a professional attitude.
• Strong people/team orientation skills.
• Distinctive communications skills; ability to communicate analytical and technical content in a comprehensible way.

10. Data and Insights Analyst

Company: Procter & Gamble

Location: Sydner, Australia

Responsibilities

• Lead analytical projects and be accountable for delivering business value.
• Lead creation and execution of analytic action plans that address top-priority business challenges and create valuable insights.
• Develop in-depth business and analytical knowledge for building relevant solutions and services – spanning retail analytics, eCommerce, media analytics, and others.
• Consult and coach business teams on appropriate uses of data, analytical solutions, and tools.
• Work in multi-functional teams to evaluate business activities.
• Work with a diverse group of people within the P&G organization and the global analytics community as well as with external business partners.

Qualifications

• Undergraduate or Masters’s Degree level qualifications. Preferred (but not a requirement) disciplines include Business Analytics, Business Studies/MBA, Economics, Statistics, Engineering.
• Min 2 years work experience in a business-facing role, preferably within FMCG or similar industries.
• Track record of solving tough business problems, all the way from understanding a business question to communicating and actioning the solution, leveraging multiple, complex data sources in the process.
• Work experience mining vast amounts of data using statistical methods or machine learning models to provide actionable insights.
• Advanced knowledge of analytical tools. Work experience or certification in SQL and Python or R.
• Excellent written and verbal communication skills to influence others to take action
• Comfortable handling multiple priorities, strong problem-solving skills, and a “can-do” attitude.
• Business background and interest and technical/analytical skills are preferred.

All the above information is taken from credible sources. For more information about privileges and perks, head to the company’s official websites to read and apply.

The post HOTTEST DATA SCIENCE JOB OPENINGS AROUND THE WORLD, JUNE 2021 appeared first on Artificial Intelligence.

These artificial intelligence jobs can be your next big thing.

AI, the technology that is capable of raising eyebrows in the tech world, has a long way to go when it comes to developments. Organizations across industries are in the quest to utilize their power to gain a competitive edge and optimize their business processes. Hence, the demand for AI professionals across domains is evident. 

If you are an AI engineer or an AI scientist looking for the next big project, here are the top AI jobs from across the world.

1. AI/ML – Senior Analyst, Market Intelligence

Company: Apple 

Location: Seattle, USA 

Job Summary 

Apple is looking for a market intelligence analyst to conduct primary and secondary research on the AI market. The ideal candidate will be able to synthesize recent market news with long-term trends in the market to provide continual guidance to Siri engineering and product leadership on the direction of the market and any major shift identified. The ideal candidate would have experience performing market intelligence for voice assistants. 

Responsibilities 

•  Find and manage a group of primary, secondary, and tertiary data sources to provide accurate and up-to-date market information to engineering and product leadership.
• Synthesize data into customer-focused, meaningful insights that drive improvements to the customer experience.
• Provide regular long-term market forecasts on the AI space, including potential technologies and companies of interest.
• Provide continual updates to engineering and product leadership on significant changes in the market.
• Conduct research and analysis for internal partner teams to improve the feature-level experience.

Qualifications

• 10+ years of experience with market analysis and forecasting.
• Bachelors in Economics, Finance, Engineering or equivalent.
• Demonstrated accuracy in forecasting medium-term market trends in technology.
• Experience in contextualizing short term news in a broader context for senior executives.
• Competence in selecting primary, secondary, and tertiary data sources for review and reporting.
• Deep understanding of underlying technologies that are used by competitors in the market.
• Demonstrated experience in delineating primary drivers of risk and variance in market forecasts.

2. Research Scientist, AI 

Company: Facebook

Location: Seattle, USA 

Job Summary 

Facebook is seeking a Research Scientist to join Facebook AI Research (FAIR), a research organization focused on making significant progress in AI. Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing, and data representation. The ideal candidate will have a keen interest in producing new science to understand intelligence and technology to make computers more intelligent.

Responsibilities 

• Lead research to advance the science and technology of intelligent machines.
• Lead research that enables learning the semantics of data (images, video, text, audio, speech and other modalities).
• Devise better data-driven models of human behavior.
• Work towards long-term ambitious research goals, while identifying intermediate milestones.
• Influence progress of relevant research communities by producing publications.
• Contribute research that can be applied to Facebook product development.
• Lead and collaborate on research projects within a globally based team.

Qualifications 

• Experience holding a faculty, industry, or government researcher position.
• Ph.D. and publications in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields.
• Experience leading a team in solving analytical problems using quantitative approaches.
• Experience manipulating and analyzing data from different sources.
• Experience in theoretical and empirical research and for answering questions with research.
• Experience communicating research for public audiences of peers.
• Knowledge in a programming language.
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications 

• 1+ year(s) of work experience in a university, industry, or government lab(s), in a role with primary emphasis on AI research.
• Experience driving original scholarship in collaboration with a team.
• First-author publications at peer-reviewed AI conferences (e.g. NIPS, CVPR, ICML, ICLR, ICCV, and ACL).
• Experience in developing and debugging in C/C++, Python, C# and/or Java.

3. AI Scientist 

Company: Electronic Arts (EA)

Location: Seattle, USA 

Job Summary 

The EADP Data Group develops a new unified Big Data pipeline across all franchises at Electronic Arts. This platform will incorporate data collection, ingestion, processing, access and visualization all built on a modern, cloud-based tech stack with outstanding tools. The Data Group will provide the tools and platform, which powers the future of game development, marketing, sales, accounting and customer experience. EA is looking for developers who want to work on a large-scale distributed data system from the ground up for one of the most creative, creative companies in technology.

Responsibilities 

• Develop state-of-the-art algorithms and extract important insights from EA’s rich store of data to empower intelligent agents within the EA ecosystem.
• Create scalable solutions for problems in the gaming domain.
• Design and evaluate highly creative AI applications for content creation, NPC behavior, game balance evaluation, and recommendations.
• Work with the core development teams to deploy AI applications as part of production systems.
• Establish scalable, efficient, automated processes for enterprise-level management of AI applications.
• Research and implement novel AI approaches for new problems.

Qualifications 

• Masters or PhD in Computer Science, or related fields (focus in AI or ML background).
• Experience having developed novel AI algorithms, and major journal and conference publication.
• Strong programming skills (object-oriented and functional paradigms).
• Experience with large-scale data and distributed systems – Experience with Apache Hadoop, Spark, and Tensorflow.
• 1+ years of experience with SQL and MPP databases.

4. Machine Learning Engineer, Content Platform 

Company: Spotify 

Location: London, England 

Responsibilities 

• Work in a high-performance, autonomous team of engineers and collaborate with researchers, designers and product managers across Spotify.
• Build audio processing pipelines in Python and data pipelines in Java.
• Take operational responsibility for the services that are owned by your team.
• Design and run experiments at scale, and communicate their results and importance to key stakeholders.
• Work in an environment that supports your individual growth by providing you challenging tasks to solve and the time needed to acquire new skills.

Qualifications 

• Bachelor’s degree (or equivalent) in computer science, machine learning, mathematics or related quantitative field, or extensive industry experience.
• Experience implementing and maintaining production machine learning systems at scale.
• Experience writing Python code and using Tensor Flow (or similar libraries such as PyTorch or Theano).
• Passionate about writing high-quality code.
• Excellent communication skills, both written and verbal.

5. Data and AI Consultant 

Company: Microsoft

Location: Belfast, Ireland 

Responsibilities 

• Be part of a thriving practice that is constantly looking for ways to improve the customers’ experience.
• Help translate business requirements into technology requirements for inclusion in contracts and/or statements of work.
• Craft both high-level and detailed design documents and implement innovative solutions using the most recent technologies.
• Optimize customer’s current data solutions and infrastructure.
• Implement a large data platform, business intelligence, advanced analytics and multi-tier type solutions.
• Take a leadership role on projects demonstrating experience handling projects through the entire project lifecycle. This includes running multi-phase/multi-dimensional/multi-resource projects to conclusion while maintaining high customer satisfaction.
• Continually learn and grow professionally.
• Mentor other consultants to share your knowledge and experience.

Qualifications 

• 2+ years of SQL Server or advanced database or advanced analytics experience.
• 3+ years of technical expertise in an enterprise environment.
• Deep technical or architectural knowledge of at least 2 of the following areas preferred:
• Database administration (preferably with SQL, including Azure SQL) – performance tuning, troubleshooting, high availability / disaster recovery, security.
• Database development (preferably with SQL, including Azure SQL) – designing and building database solutions (tables / stored procedures / forms / queries / etc.).
• Business intelligence – combining knowledge of SSIS/SSAS/SSRS/Power BI technologies with a deep understanding of data structure / data models to design, develop, and tune BI solutions and reports.
• Advanced data analytics – designing and building solutions using technologies such as Azure Data Factory, Azure Data Lake, HD Insights, SQL DWH, stream analytics, machine learning, R server.
• Big Data implementation – using Open Source and Non-SQL technologies such as Data bricks, Spark, Spark Streaming, Kafka, Storm, Zeppelin, Scala Software development, Hadoop Hive, Hadoop Map Reduce, Hadoop Clusters, Cosmos DB.
• B.S./B.A. or equivalent work experience combined with relevant industry experience in a consulting role.
• Ability to travel domestically and internationally and work with diverse cultures and customers and be able to obtain a valid passport within 90 days of joining the team.
• Fluency in written and spoken English and local language if applicable. Ability to speak other languages is a plus.
• Ability to communicate with a variety of different audiences and strong presentation skills.
• Ability to lead and motivate technical communities.
• Ability to effectively recognize and adapt to change.
• Ability to quickly grasp customers’ business challenges and drive positive change.

6. Lead AI Scientist 

Company: Builder.ai

Location: London, England 

Responsibilities 

• Exploit the knowledge in BKG at finding innovative applications of AI during end-to-end automated software management.
• Advance its state of the art in using representation learning to create embeddings that power various machine learning applications.
• Explore ideas around incorporating context to build personalized recommendation algorithms for targeted customer suggestions.
• Exploring the use of reinforcement learning or similar continuous learning principles to evolve the BKG.
• Take ideas from concept (possibly in academic literature) to production.

Qualifications 

• 6+ Years experience.
• 2+ years leading a team of at least 2-3 people.
• PhD in a scientific discipline with significant programming foundations such as Computer Science, Engineering, Physics among others.
• Proficient in programming in at least one high level programming language. Python experience preferable.
• At least 2 years of production experience in conceptualising, developing and productionising AI systems.
• Experience in building personalized recommender systems.
• Core understanding of representation learning.
• Core understanding of deep learning principles applied to structured and unstructured data.
• Experience in working within cross functional teams.
• Understanding product priorities and goals and aligning research, development and execution initiatives to such goals.
• Generating and testing hypotheses for future product features.
• Some background in knowledge graphs, optimization and reinforcement learning would be very beneficial.

7. Business Intelligence and Data Visualization

Company: Signal AI

Location: London, England 

Job Summary 

Signal AI is looking for a Business Intelligence & Data Visualization to work within its New Markets Delivery team. The team uses Signal’s data and technology to produce high-quality, fast turnaround reports and dynamic dashboards for its clients and public audiences. Signal AI is looking for someone excited by the idea of continuously working on new and varied projects. You will be working with a small, tightly-knit team producing reports and dashboards for a wide variety of audiences including clients, governments, journalists and Signal AI’s senior leadership. This role will give you the opportunity to explore many different facets of the business, including Delivery, Product and Data-Science, as well as gaining exposure to the Commercial side of the organization.

Responsibilities 

• Work independently and liaise directly with clients.
• Operate under high-pressure, returning work within very short time-frames.
• Demonstrate significant independent thinking, drawing insights from a wide variety of sources and data points, and then provide their own layer of analysis on top.
• Write fluently.
• Effectively use a wide number of research tools in order to find the right mix of opinion, fact and statistics for each brief or report.
• Consume a wide variety of sources from financial reports through to news or social media.
• Extract, process and interpret data sets and provide insightful commentary on items of interest.
• Directly brief senior figures both within and outside of Signal.

Qualifications 

• Excellent written communication skills.
• Strong research, analysis and summarization skills and an eye for interesting stories.
• Ability to produce work with tight deadlines.
• Experience working with 3rd parties.
• Experience scoping out requirements from its clients.
• You are proficient with the Office Suite (particularly Excel/Sheets).
• Experience working with APIs and building queries to extract data.
• Experience in working with BI tools such as Tableau and Power BI to create dynamic dashboards as well as generating ad hoc reports for New Markets.
• Experience querying APIs and confidence working with Python or similar.
• Experienced in dealing data quality issues and have a good understanding of end-to-end data flows.
• Comfortable creating functional and technical specifications and diagrams.

8. AI Engineer

Company: Elix Inc

Location: Tokyo, Japan 

Responsibilities 

• Research the latest technology and papers.
• Model development using deep learning and machine learning.
• Consult and implement project reports for clients.

Qualifications 

• Over 2 years of R&D experience using machine learning and deep learning.
• Over 4 years programming experience.
• Experience using and deep learning libraries such as PyTorch and TensorFlow.
• Ability to develop various deep learning models from scratch.
• Interests towards Deep Learning, Machine Learning and Computer Science.

Preferred Qualifications 

• Ph.D or equivalent experience in computer science, mathematics, physics, or equivalent practical skills

9. Data Scientist (Deep Learning)

Company: Binance 

Location: Singapore, Singapore 

Responsibilities 

• Conduct applied research and development in AI applications that involve computer vision, natural language processing, speech processing, and other related techniques.
• Work closely with other team members on implementing algorithms that power user focused products.
• Build and release models, and elevate customer experience and track impact over time.

Qualifications 

• MSc or PhD in Machine Learning, Computer Vision, Computer Science or Applied Mathematics with at least 5 years of relevant industry experience.
• Excellent hands-on experience with popular ML frameworks such as PyTorch or Tensor Flow.
• Fluent in English both written and spoken.
• Experience with application development practices at scale.

10. Senior Researcher – DSP and AI

Company: Dolby Laboratories 

Location: Sydney, Australia 

Job Summary

Dolby Laboratories is looking for a researcher who will be a cornerstone member of the team, developing novel algorithms and integrating them into demonstration platforms for new ideas and experiences. The team has the responsibility and high visibility to create solutions that help devices work together in an orchestrated way – to help users hear and be heard. Work will extend into real-time audio processing, system design, efficient communication protocols, and full-stack audio. The challenge and advances in audio processing will focus on managing input and output audio across distributed, uncertain, asynchronous audio devices. 

Responsibilities 

• Work with a research mindset that finds the right hypothesis and rejects/approves that through a set of experiments which thoroughly capture various aspects of that hypothesis.
• Having an “I’m willing to learn and make it work” attitude and work effectively with other team members to accomplish a task in a timely manner.
• Having the passion to constantly gain new skills and knowledge in a fast-paced environment with changing priorities.

Qualifications 

• Research track record (e.g. Industrial training, taste of research, undergraduate thesis, PhD dissertation, Postdoctoral proposal). Dolby Laboratories wants to see a track record of raising and testing hypotheses that really move a field of technology forward.
• A tertiary qualification (or equivalent) in Electrical Engineering, Computer Science or a related field with relevant industrial or academic experience as described below, specifically:
  • Bachelor’s Degree (or equivalent) and at least six years’ research work experience or
  • Master’s Degree (or equivalent) and at least four years’ research work experience or
  • PhD (or equivalent)
• Ability to implement an idea and prove a concept by writing a piece of robust code; proficiency in one or more of the following programming languages is required: Python, C, C++, MATLAB.
• Communicate hypotheses, background theory and experimental results clearly in meetings and written reports: Excellent English written and verbal communication in technology-specific applications is required.
• Work in a multi-functional team with constantly evolving tasks and changing priorities.

Preferred Qualifications 

• Deep understanding and work experience in one or more of
  • Audio DSP: Transforms, digital filtering, adaptive filtering
  • Real-world audio: Systems involving real world microphones and speakers
  • Audio AI: Deep learning algorithms and technologies and ML frameworks such as PyTorch.
  • Acoustic human perception: exploration of how we perceive sound and acoustics
• Ability to use the ear as a measurement tool.
• Higher degree education, masters or PhD

All the above information is taken from credible sources. To know more about the benefits and to apply for the job, head to the company’s official website and look for the careers section.

The post HIRING ALERT! HERE ARE THE HOTTEST AI JOBS ACROSS THE GLOBE appeared first on Artificial Intelligence.