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    Lead Data Scientist - Bangalore/Chennai/Anywhere in India/Multiple Locations - Sam manpower services & Career LLP

    Sam manpower services & Career LLP
    Sam manpower services & Career LLP Bangalore/Chennai/Anywhere in India/Multiple Locations

    Found in: Talent IN 2A C2 - 2 days ago

    Default job background
    permanent Technology / Internet
    Description

    Job Summary :


    We are looking for Data Scientists to lead a data science team and help us gain useful insight out of raw data.

    Lead Data Scientist responsibilities include managing the client, data science team, planning projects and building analytics models.

    You should have a strong problem-solving ability and a knack for statistical analysis.

    If you're also able to align our data products with our business goals, we'd like to talk to you.


    Your ultimate goal will be to help improve our AI services by making the most out of our client' data.


    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.
    • Mine and analyze data to drive optimization and improvement of product development, marketing techniques and business strategies.
    • Working on ML Model Containerization.
    • 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 fastapi frameworks

    Good to have :
    Pyspark: Spark Dataframe Operations, SQL functions API, Parallel Execution

    Good to have :
    Unit testing 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.
    • Selfmotivated and driven to deliver agreed results ontime
    • Ability to convert analytical output into clear, concise, and persuasive insights & recommendations for technical & nontechnical 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.
    )
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