LEAD – DATA SCIENTIST
Experience
Salary
Location
Job Description
RESPONSIBILITIES:
- You would be required to Identify, develop and implement the appropriate statistical techniques, algorithms and Deep learning / ML Models to create new, scalable solutions that address business challenges across industry domains.
- Define, develop, maintain and evolve data models, tools and capabilities.
- Communicate your findings to the appropriate teams through visualizations
- Collaborate and communicate findings to diverse stakeholders
- Provide solutions for but not limited to: Object detection/Image recognition, natural language processing, Sentiment Analysis, Topic Modeling, Concept Extraction, Recommender Systems, Text Classification, Clustering, Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization.
- Ability to build, train and lead a team of data scientists.
- Follow/maintain an agile methodology for delivering on project milestones.
- Excellent oral, presentation, and written communication skills.
- Experience applying statistical ideas and methods to data sets to answer business problems.
- Mineandanalyzedata to drive optimization and improvement of product development, marketing techniques and business strategies.
- Working on ML Model Containerisation.
- Creating ML Model Inference Pipelines.
- Testing and Monitoring ML Models.
TECH STACK:
- Strong Python programming Knowledge- Data Science and Advanced Concepts like Abstract Class, Function Overloading + Overriding, Inheritance, Modular Programming and Reusability
- Cloud Experience in using Azure services,
- REST API using Flask or fast api frameworks
- Good to have - Pyspark: Spark Dataframe Operations, SQL functions API, Parallel Execution
- Good to have - Unittesting using Python pytest or Unittest Preferred
QUALIFICATIONS:
- Bachelors/ Masters/ PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Applied Mathematics or related technical degree.
- 6 plus years total experience with minimum of 3 years of experience in a related position, as a senior data scientist building Predictive analytics, Computer Vision, and NLP solutions for various types of business problems.
- Advanced knowledge of statistical techniques, machine learning algorithms and deep learning frameworks like Tensorflow, Keras, Pytorch
- Programming background and expertise in building models using at least one of the following languages: Python, R
- Strong individual planning and project management skills, able to juggle multiple tasks and priorities.
- Self-motivated and driven to deliver agreed results on-time
- Ability to convert analytical output into clear, concise, and persuasive insights & recommendations for technical & non-technical audience
- Strong influence and relationship management skills.
KEY TRAITS:
- Should have excellent communication skills.
- Should Be Self motivated and willing to work as part of a team.
- Should be able to Collaborate and coordinate with onshore and offshore teams.
- Be a Problem Solver and be proactive to solve the challenges that come his way.
Designation
LEAD - DATA SCIENTIST
Key Skills
Industry
Software Development
Functional Area
Information Technology
Employment Type
Full Time
Education
Master Degree
Job Type
Work From Office
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