Want to know if this job is worth applying to?
Bengaluru, Karnataka, India
Onsite
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 Title: Senior Data Scientist
Job Location: Bangalore, Chennai and 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
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 datastructures 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. You will be required to discuss and use various algorithms
and approaches daily.
• 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
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
India: HiringsupportIndia@fractal.ai
Outside India: HiringsupportROW@fractal.ai
This inbox does not process resume submissions. All applications must be made through posted job openings
Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!