Lending Tree Research Services LLP | Jobs | Sr. Data Scientist-Machine Learning-Permanent Remote Job | BigDataKB.com | 12-02-22

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    Job Location: Ahmedabad

    Job Overview

    We are looking for a statistician and machine learning scientist to join our growing team of data scientists. The ideal candidate has 3-8 years working as a data scientist with strong experience applying various machine learning and statistical modeling approaches to solve impactful questions in an industry or research setting.

    Responsibilities:

    • Develop and operationalize ML solutions to support business initiatives by using a wide array of machine learning and statistical techniques
    • Run machine learning experiments to drive actionable business insights
    • Work with complex and large data sets from disparate sources to engineer meaningful features, perform analyses and ensemble modeling data sets
    • Support analytics around statistical and forecasting tasks such as A/B testing, DM campaigns, sales forecasts etc.
    • Summarize and communicate relevant analysis findings to project stakeholders by creating clear reports and presentations
    • Discuss and brainstorm new ways to improve model implementation and process automation
    • Follow data science best practices including coding and documentation standards, project peer and code review, and ensure results reproducibility
    • Collaborate with data science and analytics teams in US and India

    Desired Qualifications:

    • A Masters or B.S. diploma or equivalent experience in Data Science, Computer Science, Statistics, Applied Mathematics, Machine Learning/AI, Operations Research or related quantitative fields
    • Strong SQL skills and experience with writing complex queries and working with databases
    • Advanced programming skills in Python or R and excellent knowledge of commonly used machine learning, statistical and data visualization libraries
    • Solid understanding of foundational statistical and machine learning approaches such as regression, ensemble learning, clustering, resampling and regularization methods.
    • Experience transforming high dimensional data of different types to make it appropriate for analysis
    • Ability to translate complex data science findings into insights and communicate them to others with different expertise
    • Ability to translate business questions into ML problems and select appropriate solutions
    • Intellectually curious, continuously learning and improving
    • Experience using version control platforms such as Gitlab
    • AWS cloud computing experience is a plus
    • Experience with end-to-end ML lifecycle is a plus

    Apply Here

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