Senior Data Scientist

Fractal; India; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Fractal is seeking a Senior Data Scientist to join the AIML-ADM team in India. The role requires 5.6-11 years of experience in Data Science and Machine Learning, focusing on developing and implementing AI/ML solutions for diverse business challenges. The ideal candidate will have expert proficiency in R and Python, along with strong team management and stakeholder engagement skills. This position allows for impactful contributions in a fast-paced environment, driving data-driven decision-making and innovation.

Qualifications

• 5.6-11 years in core Data Science & Machine Learning projects.
• Experience in end-to-end data science pipeline.
• Ability to create efficient solutions to complex problems.

Responsibilities

• Implement analytical solutions independently and proactively.
• Manage a team of Data Scientists.
• Identify opportunities for leveraging data to drive solutions.
• Deliver AIML-based solutions across various domains.
• Collaborate with different functional teams to implement models.

Skills

Expert level proficiency in R and Python

Strong skills in data-structures

Machine learning algorithms

Team management

Stakeholder management

Ability to learn new languages/tools quickly

Job description

## Senior Data ScientistApplylocations: Bengaluru: Pune: Mumbai: Chennai: Hyderabadtime type: Full timeposted on: Posted Yesterdayjob requisition id: SR-42046It's fun to work in a company where people truly BELIEVE in what they are doing!*We're committed to bringing passion and customer focus to the business.*JOB DESCRIPTION:❖ The team member will be a part of the Artificial Intelligence and Machine Learning, Algorithmic Decision-Making Team (AIML - ADM) and will be working in a fast-paced environment. ❖ They will be enabling clients to discover how they can leverage their data using advanced and sophisticated AI/ML algorithms. ❖ Data Scientists in the AIML-ADM team should have the capability to work on independent statistical and machine learning research/ projects. RESPONSIBILITIES: • Ability to understand a problem statement and implement analytical solutions & techniques independently with independently/proactively/thought-leadership. • Team management and strong stakeholder management skills • Leadership skills to manage a span of Data Scientists • Work with stakeholders throughout the organization to identify opportunities for leveraging company/client data to drive business solutions. • Fast learner: ability to learn and pick up a new language/tool/ platform quickly. • Conceptualize, design, and deliver high-quality solutions and insightful analysis. • Conduct research and prototyping innovations; data and requirements gathering; solution scoping and architecture; consulting clients and clients facing teams on advanced statistical and machine learning problems. • Collaborate and Coordinate with different functional teams (engineering and product development) to implement models and monitor outcomes. • Ability to deliver AIML based solutions around a host of domains and problems, with some of them being Customer Segmentation & Targeting, Propensity Modelling, Churn Modelling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modelling Response to Incentives, Marketing Mix Optimization, Price Optimization QUALIFICATIONS: REQUIRED QUALIFICATIONS: • 5.6-11 years in core Data Science & Machine Learning projects • Expert level proficiency in at least one of R and Python. • Ability to create efficient solutions to complex problems. Strong skills in data-structures and ML algorithms. • Experience of working on end-to-end data science pipeline: problem scoping, data gathering, EDA, modelling, insights, visualizations, monitoring and maintenance.