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[Jobs Roundup] Latest Chief Data Scientist Job Openings In India

[Jobs Roundup] Latest Chief Data Scientist Job Openings In India

  • We have listed the latest Chief Data Scientist Job Openings In India this week.

We have listed the latest Chief Data Scientist Job Openings In India this week.

1| Chief Data Scientist at Oracle

Location: Bangalore

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Responsibilities:

  • Develop scalable infrastructure, including microservices and backend, that automates training and deployment of ML models.
  • Brainstorm and design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
  • Work with fellow data scientists/software engineers to build out other parts of the infrastructure, effectively communicating your needs and understanding theirs, and address external and internal shareholders’ product challenges.

Apply here.

2| Chief Data Scientist at Zycus

Location: Mumbai

Responsibilities:

  • Act as a technical thought leader in collaboration with the analytics leadership team, helping to set the strategy and standards for machine learning and advanced analytics.
  • Work with senior leaders from all functions to explore opportunities for using advanced analytics.
  • Provide technical leadership, coaching, and mentoring to talented data scientists and analytics professionals.

Apply here.

3| Head – Data Science at Wynk

Location: Gurgaon

Responsibilities:

  • Analyse experimental data with statistical rigour. Ensure accurate interpretation by combining business acumen with detailed data knowledge and statistical expertise.
  • Work closely with Product Development leadership to drive business decisions using data – you’ll turn data into insights and help surface relevant and personalised content to Wynk’s millions of users.
  • Collaborate with Wynk’s product team to find novel ways to activate and engage users.

Apply here.

4| Head – Advanced Analytics & Data Science at BARC

Location: Mumbai

Responsibilities:

  • Manages experimental data mining, fusion and data modelling projects.
  • Designs and applies modelling algorithms to be deployed for production improvements.
  • Creates and enhances statistical models for numeric and categorical data.

Apply here.

5| Head of Data Science at Matrimony.com

Location: Chennai

Responsibilities:

  • Develop and implement a strategic roadmap to progressively move towards an increasingly data-driven organisation.
  • Lead all data related activities to support the development of new data science approaches and methodologies to improve operations and business outcomes.
  • Project management of multiple projects involving different stakeholders.

Apply here.

6| Director Data Science at Novartis

Location: Hyderabad

Responsibilities:

  • Develop and execute a roadmap for the team to innovate in multiple business verticals by transforming the way to solve a problem using Data Science and Artificial Intelligence.
  • Strategically coordinate, prioritise and efficiently allocate the team resources to critical initiatives: plan resources proactively, anticipates and actively manage change, set stakeholder expectations as required, identify operational risks and enable the team to drive issues to resolution, balance multiple priorities, and minimise surprise escalations.
  • Design, develop and deliver various data science-based insights, outcomes and innovation (using Mathematics, Computer Science, Statistics, Engineering, Management Science, Technology, Economics, etc.) and create “proof of concepts & blueprints” to drive faster, timely, highly precise, workable and proactive decision -making based on data-based insights and science, and shape strategic glide path of the company.

Apply here.

7| Director – Analytics & Data Science at Varian

Location: Pune

Responsibilities: 

  • Build, lead and mentor a high-performing team of data modellers, data scientists and business intelligence developers.
  • Hire world-class talent and provide technical guidance and career development to team members.
  • Drive the process through quickly assessing data, product strategies by understanding needs, satisfaction drivers, performance requirements and business cases through the value chain/channel structure for D&A.

Apply here.

8| Head of Data Science at U GRO

Location: Mumbai

Responsibilities:

  • Establish the advantage of using data science in various facets of SME lending, including (but not restricted to) credit scorecards & portfolio monitoring frameworks, business insights, campaign management, propensity, and pricing.
  • Design, develop, and implement machine learning applications.
  • Evangelise the use of alternate data in enhancing risk management and customer experience. Actively interface with technology to implement and improve business solutions.

Apply here.

9| Director – Data Science & Engineering at Salesforce

Location: Hyderabad

Responsibilities:

  • Drive the vision for data engineering across product verticals and define the execution path to achieve the vision.
  • Build and lead a small but highly qualified team of data engineers to deliver reliable, scalable and secure analytic data models for various business processes.
  • Build partnerships with Product Managers, Software Engineers, Program Managers, Architects and Platform Engineers to understand data consumption needs and influence instrumentation and data transport.

Apply here.

10| Head Data Science at Tide

Location: Hyderabad

Responsibilities:

  • Working closely with the data scientists in your team to ensure that best practices are followed.
  • Owning the data science processes and tools; survey new developments within the data science space and adapt them within Tide.
  • Working closely with the business and the data science team to ensure that ML projects are aligned to business needs.

Apply here.

AIMRecruits

A subsidiary of Analytics India Magazine, AIM Recruits is an India-focused executive search firm that partners with leading businesses to assess and acquire top data science talent to drive breakthrough performance. AIM Recruits is a leading Executive Search Firm for Analytics, Data Science & Artificial Intelligence.

1| Data Engineer/Senior Data Engineer

Location: Bangalore

Responsibilities:

See Also

  • For onboarding tables to the data lake and building pipelines for data ingestion using python.
  • Building data models and tables on Athena which will be used for reporting. Create and maintain workflow/technical documents for all the development activities.
  • Gather business requirements from business stakeholders and deliver solutions. 

Apply here.

2| Senior Data Scientist

Location: Bangalore

Responsibilities:

  • Strong technical architecture, design, deployment and operational level knowledge of AI platforms, standards, and protocols. Developing AI solutions using Spark, TensorFlow, Keras, etc.
  • Good understanding of model development, model validation techniques/metrics and model deployment.
  • Analyse huge data to train ML models and evaluate them with the right metrics.

Apply here.

3| Big Data Lead – Spark/MongoDB

Location: Bangalore

Responsibilities:

  • Perform product and technology assessments whenever needed. Develop analytic tools, working on BigData and Distributed Environment. Scalability will be the key.
  • Liaise with other team members to conduct load and performance testing on modules.
  • Visualise and evangelise next-generation infrastructure in Big Data space (Batch, Near RealTime, RealTime technologies).

Apply here.

4| Data Architect

Location: Bangalore

Responsibilities:

  • Developing and implementing an overall organisational data strategy that is in line with business processes. The strategy includes data model designs, database development standards, implementation and management of data warehouses and data analytics systems.
  • Identifying both internal and external data sources and working out a plan for data management aligned with organisational data strategy.
  • Coordinating and collaborating with cross-functional teams, stakeholders, and vendors for the smooth functioning of the enterprise data system.

Apply here.

5| Machine Learning/AI Architect

Location: Bangalore

Responsibilities:

  • Architecture, total solution design from requirements analysis, design and engineering for data ingestion, pipeline, data preparation & orchestration, applying the right ML algorithms on the data stream and predictions.
  • Application of Machine Learning will be key at all layers of the stack.
  • Requires engagement in every phase of the system development lifecycle including requirements generation, system and software design, implementation, integration & test, and verification & validation.

Apply here.

6| AI Architect (PhD. Scholars)

Location: Bangalore

Responsibilities:

  • To design applications and solutions using Machine Learning and AI.
  • Architecture, total solution design from requirements analysis, design and engineering for data ingestion, pipeline, data preparation & orchestration, applying the right ML algorithms on the data stream and predictions.
  • Application of Machine Learning will be key at all layers of the stack. This requires engagement in every phase of the system development life cycle, including requirements generation, system and software design, implementation, integration & test, and verification & validation.

Apply here.

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