Senior Data Scientist (8 to 11 Years)

Fractal Analytics Ltd.; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Fractal Analytics Ltd. is looking for a Senior Data Scientist who will work as part of the AIML - ADM team in Bengaluru. This role requires expertise in data science and machine learning, with responsibilities including team management and delivering high-quality analytical solutions.

The ideal candidate should have extensive experience in machine learning projects and be proficient in programming languages such as R and Python. This opportunity allows you to collaborate on innovative data-driven solutions across various domains.

Qualifications

• 5.6-11 years in core Data Science & Machine Learning projects.
• Expert level proficiency in at least one of R and Python.
• Strong skills in data structures and ML algorithms.

Responsibilities

• Understand problem statements and implement analytical solutions independently.
• Manage a team of Data Scientists and stakeholders.
• Deliver AIML-based solutions for various data-driven problems.

Skills

Data Science

Machine Learning

R

Python

Data Structures

Education

B.E/B.Tech/M.Tech in Computer Science or related technical degree

Tools

RDBMS

NoSQL

MongoDB

Job description

Job Title: Senior Data Scientist

Location: Bangalore, Chennai, Hyderabad

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.

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.
• Problem-solving: Ability to break the problem into small parts and applying relevant techniques to drive required outcomes.
• Intermediate to advanced knowledge of machine learning, probability theory, statistics, and algorithms.
• We use regression, Bayesian methods, tree-based learners, SVM, RF, XGBOOST, time series modelling, dimensionality reduction, SEM, GLM, GLMM, clustering, Deep learning etc. on a regular basis. If you know few of them, you are good to go.

Preferred Qualifications

• Experience in one of the upcoming technologies like deep learning, NLP, image processing, recommender systems.
• Experience of working in on one or more domains:
• CPG: pricing and promotion analytics, marketing analytics, trade promotions, supply chain management.
• BFSI: cross-sell, up-sell, campaign analytics, treasury analytics, fraud detection.
• Healthcare: medical adherence, medical risk profiling, EHR data, fraud-waste-abuse.
• Experience in working with Linux computing environment and use of command line tools like sed/awk.
• Good grasp on databases including RDBMS, NoSQL, MongoDB etc.

Education

B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent.