Senior Data Scientist (8 to 11 Years)
Fractal Analytics- Location
- Bengaluru · Pune · Mumbai +2
- Workplace
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- Employment
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Posted 2mo ago
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!
Hiring Related Queries
India
HiringsupportIndia@fractal.ai
Outside India
HiringsupportROW@fractal.ai
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Skills
- Machine Learning
- R
- Python
- XGBoost
- Deep Learning
- NLP
- Linux
- MongoDB
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