Senior Data Scientist

Fractal; Bengaluru; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

Fractal in Bengaluru seeks a senior data scientist to lead the AIML-ADM team and drive advanced analytics across domains. You will enable clients to discover value from data using AI/ML, guide projects end-to-end, and mentor data scientists.

You will collaborate with engineering and product teams to deploy models, monitor performance, and deliver impactful business insights through robust statistical approaches.

Qualifications

• 5.6–11 years of experience in data science and ML projects.
• Expert level proficiency in at least one of R or Python.
• Ability to create efficient solutions and strong data-structures skills.
• End-to-end data science pipeline experience: problem scoping, data gathering, EDA, modelling, insights, visualizations, monitoring.

Responsibilities

• Understand a problem statement and implement analytical solutions independently.
• Team management and stakeholder management.
• Leadership to manage a span of Data Scientists.
• Collaborate with stakeholders to leverage data for business solutions.
• Fast learner to pick up new languages/tools/platforms quickly.
• Conceptualize, design, and deliver high-quality solutions and insights.
• Conduct research and prototyping; data gathering; solution scoping and architecture; client consulting on ML problems.
• Collaborate with engineering/product teams to implement models and monitor outcomes.
• Deliver AIML-based solutions across domains: Customer Segmentation, Propensity Modelling, Churn Modelling, Lifetime Value Estimation, Forecasting, Recommender Systems, Marketing Mix, Price Optimization.

Skills

Data Science

Machine Learning

Python

R

Problem Solving

Data Structures

Job description

It'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

• 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.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!