Senior Data Scientist

Fractal; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Fractal is seeking a seasoned Data Scientist to join the AIML-ADM team in Bengaluru. You will drive end-to-end data science projects, apply advanced ML algorithms, and work with stakeholders to translate data into business insights.

The role requires leading a team of data scientists, delivering scalable analytics solutions, and collaborating with engineering and product teams to implement models across multiple domains.

Qualifications

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

Responsibilities

• Understand problem statements and implement analytical solutions independently.
• Manage stakeholders and coordinate with teams across the organization.
• Lead and mentor a span of Data Scientists.
• Collaborate with engineering and product teams to deploy models and monitor outcomes.
• Learn new languages/tools/platforms quickly and apply them effectively.
• Design and deliver high-quality analytics solutions and insights.

Skills

Data Science

Python or R

ML algorithms

End-to-end pipeline

Tools

TensorFlow

Scikit-learn

Spark

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

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.

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