Data science is one of the highest-paying careers available today.
Data Science jobs have grown in prominence in recent years as the hottest job of the twenty-first century. For this week's data science job openings, we've compiled a list of the ten most recent job postings below.
Senior Data Scientist at Electronic Arts (EA)
- Work collaboratively with product managers, game teams, scrum masters, builders, tech leads, quality engineers, and infrastructure engineers from all over the world.
- Understand the features of the game/service in terms of experimental methods and measurement.
- Data models, machine learning, and deep learning algorithms should all be developed.
Senior / Lead Data Scientist at TVS Credit Services Limited
Location: Pune, Chennai, Bangalore/Bengaluru
- Be in charge of scaling the company's analytics capabilities across all internal disciplines and guiding the analytics strategic direction.
- Large, complex data sets must be organized and analyzed across multiple platforms.
- Identify and use key insights to educate and influence product strategy.
- Interactions with vendors or collaborators in a technical capacity to determine scope, strategy, and deliverable.
Lead Data Scientist – Analyst at Sony
- To solve and analyze business issues, define rough technology and device requirements.
- Using the findings of data analytics, plan a business action to solve/improve problems.
- Defining company objectives, KPIs, workflow, and the decision-making process.
Data Scientist at Tide Software
Location: Hyderabad/Secunderabad
- Building payment classification and data extraction use cases in collaboration with the company's Business Services team.
- To solve problems, you must first understand business requirements and then solutionize data items.
- Developing innovative ways to create relevant training data sets.
Senior Data Scientist, Rider Analytics at Uber
- Create models to better understand consumer behavior and predict cohort performance in the future.
- Experiments must be designed and the findings must be interpreted in order to draw detailed and observable conclusions.
Data Science Engineer at Businessonbot
- To ensure high quality, use industry standards throughout the development process.
- Estimation of time and expense for the deliverables.
- With the support of a DevOps team, scale models across various domains.
- Ability to construct and optimize the existing machine learning stack's core components
Senior Data Scientist at Epsilon
- Contribute and create an internal product library aimed at solving business issues involving prediction and recommendation.
- Research unknown methodologies and methods for fine-tuning current product models, and make recommendations for better solutions and/or innovations.
Sr. Data Scientist I, SIP at Invesco
- Assist with data science investment projects as a subject matter specialist.
- Apply advanced machine learning methods to analyze and model structured data, as well as the algorithms and software used to perform analyses.
- Develop unstructured and semi-structured data recommendation engines, sentiment analyzers, and classifiers.
- Process, cleanse, and check the data integrity before using it for analysis.
Senior Data Scientist at Tiger Analytics
- Individually lead projects from start to end, seamlessly transitioning between positions as an Individual Contributor, team member, and Project Manager as each project requires.
- Enhancing existing models, creating new ones, and maintaining them all, as well as creating and updating code and process documentation.
Data Scientist at IBM India Pvt. Limited
- Developing and optimizing data models for detecting security vulnerabilities that can run on large amounts of data quickly, as well as making this capability available as a service.
- Working with the company's software developers to integrate this functionality with infrastructure automation software so that it can be offered as a complete application security and recovery service.
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