Explore the list of data science manager jobs in December 2020

A data science manager is a data expert that manages all the things associated with big data and analytics. The managers are significantly liable for assisting organizations to leverage data effectively. While successfully managing a data science team requires skills and conceptions, data science managers are capable of directing a team of data scientists and engineers to provide valuable direction and insight to make informed decisions. Data science managers can be found in consulting firms, financial institutions, healthcare, insurance, and other domains that leverage voluminous amounts of data.

Since data science managers perform various functions to benefit enterprises by making the best management decisions using big data, the demand for this job specification is relentlessly growing in India. The average salary of a Data Science Manager in the country is INR 25,55,956.

Here's a look at the top data science manager jobs in India in December 2020.

Genpact

Job Role: Manager – Data Science

Location: Bangalore

Job Description:

This role requires the ability to coordinate the work of others to ensure high-quality output while also contributing quality code to a project. Candidates are expected to build tools for Finance and salespeople. They will require to write and maintain frontend and backend code continuously; suggest, implement, and iterate on instilling standard methodologies for this development team, participate in sprint planning and development through sprints, and more.

Preferred Qualifications:

• Bachelor's degree in a related field, or equivalent work experience
• Extensive knowledge of object-oriented programming (e.g., Java, JHipster, Spring, C#)
• Extensive knowledge of JavaScript, HTML, CSS standard methodologies, MS SQL and Postgres
• Experience in related field preferred
• Familiarity with modern JavaScript frameworks (e.g., Angular, React, Vue.js) is a plus and more.

Apply here

Merkle

Role: Manager- Data Science

Location: Pune

Job Description:

Merkle is a leader in digital marketing and analytics that manages digital marketing campaigns for large brands in India. Aspirants for the role of Manager – Data Science at Merkle will be responsible for leveraging statistical methods to analyze data and generate useful business reports. They will also require to assess client data using EDA and provide actionable insights to improve processes and present them successfully to management using a reporting tool.

Preferred Qualifications:

• 3+ years of core data science/analytics experience.
• Hands-on experience in building statistical models like regression, decision tree, random forests and other AI/ML models is a must.
• Experience using R, Python, SAS is mandatory.
• Ability to write SQL queries, doing cohort analysis, comparative analysis, etc.
• Ability to lead their own projects and work independently once given a direction.
• Have inquisitive and great problem-solving skills, and more,

Apply here

Honeywell

Job Role: Data Science Manager

Location: Bangalore

Job Description:

As a Data Science Manager at Honeywell, candidates will lead a team of high-performing data scientists to enable the organization to deliver high-value internal enterprise analytics use cases as well as external enterprise analytics products for its customers. The candidates will be responsible for collaborating and influencing team resourcing including engineering, data engineering, customer engagement, and product managers to ensure successful execution. They will also have to assist engagement leaders in identifying and prioritizing analytics and more.

Preferred Qualifications:

• Master's degree in an analytics field (e.g., Data Science, Engineering, Mathematics)
• Minimum of 3 years managing deeply technical individual contributors
• Minimum of 5 years of Data Science prototyping and deployment experience
• Minimum of 2 years of advanced NLP experience
• Experience with MLOps, Python, SQL, product management and agile methodology, and more.

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Amazon

Job Role: Big Data Engineer

Location: Bangalore

Job Description:

For this role, ideal candidates will require to have expertise in all phases of the software development life cycle in building models that scale over time while balancing accuracy, flexibility and speed. The data flowing through the company's platform, directly contributes to decision-making by its CFO and all levels of finance leadership. This job role is beneficial for those who are passionate about building tools that enhance productivity, improve financial accuracy, reduce waste, and improve work-life harmony for a large and rapidly growing finance user base.

Preferred Qualifications:

• 1+ years of experience as a Data Engineer or in a similar role.
• Experience with data warehousing, building ETL pipelines, and SQL.
• Bachelor's degree in Information Systems, Computer Science, Finance, Accounting, Economics, Mathematics, or a related technical discipline.
• 4+ years of Cognos TM1 work experience in developing end-to-end analytics solutions, including system configuration, model building, data security, and reporting, and more.

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Novartis

Job Role: Senior Manager- Data Science & Analytics

Location: Hyderabad

Job Description:

Candidates for this role will be accountable for monitoring and auditing the company's drug, biologics, or medical devices surveillance program including the intake, evaluation, processing and follow-up on adverse reports. They must ensure accurate receipt, maintenance and assessment against product labeling. They also require to report events or reactions as required by regulatory agencies including adverse events data from clinical trials, spontaneous or solicited sources, periodic and experience reports. They need to optimize operational efficiency and clinical trial effectiveness by ensuring speedy follow-up for key safety information -Manage direct reports and more.

Preferred Qualifications:

• Project Management leveraging digital technology/ big data sound technical & scientific knowledge of pharmaceutical/ chemical analytics/QC/ equivalent.
• Ability to work and lead (a cross-functional team) in a matrix environment
• Masters/Bachelor's degree in economics, econometrics, statistics, mathematics, operations research, engineering (biotech, computer science, information technology), pharmaceutical, life science or a similar field, MBA from reputed institutes. And more.

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J.P. Morgan

Job Role: Data Scientist Associate – CIB Wholesale Payments Data and Analytics

Location: Mumbai

Job Description:

The Data Scientist Associate role is responsible for executing big data analytics projects in response to product innovation for merchant services. Candidates for this position must be proficient with managing complex data sets, using modern statistical and data exploration practices and creating insightful visualizations, especially SQL on Hadoop, Tableau, python. They require to develop robust analysis and deliverable plans to support a clear and shared understanding of project requirements and goals. They will also synthesize data sets to craft actionable consumer insights that support merchant growth agendas and more.

Preferred Qualifications:

• Bachelor's or Master's degree in engineering, computer science, statistics, mathematics, or similar technical or quantitative field
• 5+ years of working in a big data environment as a contributing member in self-directed roles
• Deep experience across a range of database and business intelligence tools (especially SQL on Hadoop (Hive, Impala), Tableau and python);
• Expertise in quantitative research techniques and analytics using R, Python or MATLAB
• Knowledge of ML/AI packages like scikit-learn, TensorFlow, PyTorch
• Demonstrated ability to distill KPIs and other performance metrics from data and more.

Apply here