Job description

Job Description

    Roles and Responsibilities

    Data Scientist (Business Unit Global Innovation)

    Job Level Manager I or II

    Reports to Director, Global Delivery Innovation

    Education • Bachelor’s or master’s degree in Computer Science, Statistics, Physics, Engineering, Mathematics, Economics, or other closely related field.

    • PhD preferred


    • Minimum 5-10 years’ experience in data analytics and quantitative modeling, with
    significant work experience in advanced analytics / statistics projects and technical

    Position Overview:

    This role will have the opportunity to influence how one of the leading organizational
    effectiveness firms uses data science to run a more efficient business, deliver more robust
    advice, develop new service offerings, and unlock hidden keys to leadership performance.
    continues to evolve its business, growing the value it brings to clients through the
    development of proprietary services and tools, and the use of emerging technologies.
    seeks a Data Scientist with a consultative, entrepreneurial style. The individual will
    focus on solving business problems with appropriate analytical solutions that have positivefinancial impact on the organization. The individual must be able to communicate technicalconcepts to a broad range of technical and non-technical staff. A continuous learningorientation will aid in understanding and overcoming business challenges as well as discoveringhow to demonstrate new forms and sources of data to deliver actionable analytical insights.

    Responsibilities Responsibilities will focus on solution innovation and insights development, including:

    • Building, maintaining, and enhancing existing NLP analytics tools used in our delivery
    • Working with our Consulting, Data & Analytics Lead to innovate and deliver new tools
    (for use internally or externally) that enable data exploration and/or deliver new
    insights to our clients as part of our consulting solutions.
    • Stay conversant in new analytic technologies, architectures, and languages – where
    necessary – for storing, processing, and manipulating data
    • Develop a flair for the exploratory and experimental side of the role; required to tease
    out interesting and previously unknown insights in vast pools of data
    • Work collaboratively with other members of the data and analytics, consulting, and
    technology teams to support the development of deeper analytics capabilities across
    the business globally
    • Breakdown of time spent: 40% Technical, 20% Collaboration, 20% Consulting, 10%
    Mentoring, 10% Tool Development/Maintenance/Bug Fixing

    Technical Skills Must Have:

    • Proficient in analytical programming, including Python
    • Proficient understanding of natural language processing (NLP), including knowledge of
    pre-trained models (e.g., BERT, VADER, RoBERTa, etc.)
    • Expertise in building and deploying predictive models, including: Significance Testing,
    Factor Analysis, Logistic Regression, Decision Trees, Random Forests, Gradient
    Boosting, SVMs, Time Series, KMeans
    • Experience with visualization tools such as Tableau, QlikSense or PowerBI, including
    some experience of server set-up
    • Proficient at Microsoft Office Tools, especially Excel and usage of macros

    • Data Management, Delivery Automation, Operational Efficiency, Reporting Specialist
    • Focus on strategy, design, and execution of data-centric business problems, and in the
    process create unique analytical solutions comprising Big Data management supported
    by advanced analytical techniques (e.g., machine learning, neural networks, A/B
    testing, etc.)


    • Knowledge of SQL Server or other relational database management systems.
    • Proficiency programming in R
    • Azure, AWS, or other cloud infrastructure experience preferable.
    • Preferred experience with web-scrapping

    Soft Skills • Curiosity and ability to learn

    • Experience in taking a consulting approach to project delivery
    • Experience of dealing with multiple stakeholders (internal and external) from both a
    technical and non-technical background and the ability to communicate effectively
    with each audience
    • Creative problem-solving ability, working in ambiguous situations
    • High degree of personal motivation and ability to self-manage/learn
    • Good listener and works well teams located remotely
    • Ability to teach/mentor other team members
    • Project management
    • Excellent verbal and written communication skills

    Data Scientist

    Salary: 10,00,000 - 20,00,000 P.A.

    Industry:Analytics / KPO / Research

    Functional Area:Data Science & Analytics

    Role Category:Data Science & Machine Learning

    Employment Type:Full Time, Permanent

    Key Skills
    Data ScienceNLPAdvanced AnalyticsData AnalyticsStatisticsR programming


    UG:B.Tech/B.E. in Computers,B.Sc in Maths, Computers, Statistics

    Company Profile

    Talent Leads HR Solutions Pvt Ltd

    Leading global HR consulting firm!
    Company Info

    Contact Company:
    Talent Leads HR Solutions Pvt Ltd

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