Senior Statistician/Senior Data Scientist (Python + SQL)

Application











    Last updated on November 24th, 2025,

    Senior Statistician/Senior Data Scientist (Python + SQL)

    WHAT WE’RE UP TO

    WE ARE A LEAN, TENACIOUS MACHINE POWERED BY 85 OF THE SHARPEST, MOST PASSIONATE PEOPLE WE COULD FIND.

    Simelabs is a product-driven venture-development firm that works with a range of startups and big brands to create compelling, successful, award-winning application. We help people perfect and realise their visions for digital products. While others may just churn out what a client asks for, we strive to truly understand the problems our clients are aiming to solve and will stop at nothing to build solid products that we’re proud of.

    Roles and Responsibilities

    • Lead end-to-end statistical analysis: data cleaning --> EDA --> statistical tests --> insights --> reports/slides
    • Perform in-depth statistical EDA including correlations, distribution checks, variable transformations, group comparisons, non-parametric tests etc.
    • Build clear visualizations (boxplots, violin plots, heatmaps, scatterplots, KDE, etc.) using Python.
    • Conduct advanced statistical tests: ANOVA, Mann–Whitney, Kruskal–Wallis, t-test, correlation, regression, etc.
    • Build and evaluate predictive models using Python (scikit-learn) and support model testing within existing pipelines
    • Create presentation-ready summary slides that are easy to understand for non-technical stakeholders.
    • Execute SQL queries to extract, filter, and aggregate data (basic–intermediate).
    • Maintain structured documentation of analysis, assumptions, decisions, and results.
    • Ensure high-quality, accurate, and timely delivery with minimal supervision.

    The Ideal Candidate

    • 5–7 years of hands-on experience in statistical data analysis
    • Strong understanding of statistics: distributions, hypothesis testing, regression, non-parametric methods, DoE is a plus.
    • Proficient in Python: pandas, numpy, scipy, matplotlib, seaborn
    • Good knowledge of SQL (SELECT, JOIN, GROUP BY, filtering).
    • Experience in predictive modeling using scikit-learn (classification and/or regression models).
    • Ability to translate complex statistical outputs into simple, meaningful insights.
    • Strong attention to detail, structured thinking, and clear communication.

    Got what it takes?

    Want to join the team? Submit your application—
    we respond to most inquiries within three business days.

    I Want to Join

    Perks and Benefits

    • 12 Paid Company Holidays

    • 6 Paid Sick Leave

    • Group Health Plan insurance Employee, Spouse and dependent

    • Performance Bonus

    • Flexible time

    • Work Life Balance