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    Job · 18997767

    Ciklum logo

    Senior Data Scientist

    Ciklum · Chennai · onsite · Posted 28d ago

    Not disclosed5–7 yrsfulltimeSourced fromFoundit

    About a minute. You'll make an account on the way through.

    About this role

    Job Description

    Ciklum is looking for a Senior Data Scientist to join our team full-time in India.

    We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.

    About The Role

    We are looking for a highly skilled Senior Data Scientist to take ownership of our core analytical models. In this pivotal role, you will dive deeply into our existing suite of algorithms written in R, conducting rigorous statistical analysis to understand, validate, and optimize their performance. You won't just be maintaining legacy code; you will be the driving force behind enhancing our current methodologies and architecting brand-new features and predictive models that solve complex business challenges.

    Responsibilities

    • Algorithm Ownership & Reverse Engineering: Analyze, deconstruct, and thoroughly map out complex existing statistical models and algorithms written in R
    • Rigorous Statistical Analysis: Conduct deep-dive statistical testing on current models to identify areas for performance improvement, accuracy optimization, and efficiency gains
    • Continuous Enhancement: Design and implement robust solutions to modernize and enhance existing functionality, ensuring our models scale effectively with growing data
    • Feature Engineering & Development: Conceptualize, build, and deploy new analytical features and models from scratch to support emerging product and business needs
    • Production & Code Quality: Refactor and upgrade existing R code into robust, production-ready frameworks. Champion best practices for version control, code documentation, and automated testing
    • Cross-Functional Collaboration: Partner with Data Engineering to streamline model deployment and translate complex statistical outcomes into actionable insights for non- technical stakeholders
    • Mentorship: Guide and mentor junior data scientists and analysts, fostering a culture of technical excellence and continuous learning

    Requirements

    • Education: Master's or Ph.D. in Statistics, Applied Mathematics, Computer Science, Data Science, or a closely related quantitative discipline
    • Experience: 5+ years of hands-on professional experience in data science, statistical modeling, or quantitative research
    • Technical Mastery in R: Expert-level proficiency in R programming. You should be highly comfortable with the tidyverse, data.table, and various advanced statistical/modeling packages
    • Statistical Depth: Deep practical knowledge of applied statistics (e.g., hypothesis testing, linear/logistic regression, time-series analysis, mixed-effects models, or Bayesian methods)
    • Analytical Problem-Solving: Proven track record of auditing existing codebases, identifying bottlenecks, and successfully implementing measurable algorithmic enhancements
    • Communication: Exceptional ability to document complex algorithms clearly and explain highly technical concepts to executive leadership

    Desirable

    • Experience with building APIs in R (e.g., plumber) or developing interactive dashboards (e.g., Shiny)
    • Familiarity with containerizing R applications (Docker) and deploying models in cloud environments (AWS, GCP, Azure)
    • Working knowledge of Python (pandas, scikit-learn) or SQL to effectively collaborate with broader engineering teams
    • Domain expertise in Banking or Financial Services

    What's in it for you

    • Strong community: Work alongside top professionals in a friendly, open-door environment
    • Growth focus: Take on large-scale projects with a global impact and expand your expertise
    • Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications
    • Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies
    • Care: We've got you covered with company-paid medical insurance, mental health support, and financial & legal consultations

    About Us

    At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you'll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress.

    India is a strategic innovation hub for Ciklum, with growing teams in Chennai and Pune leading advancements in EdgeTech, AR/VR, IoT, and beyond. Join us to collaborate on game-changing solutions and take your career to the next level.

    Explore, empower, engineer with Ciklum!

    Interested already We would love to get to know you! Submit your application. We can't wait to see you at Ciklum.

    Sourced from foundit

    Skills

    DockerAPIs in Rstatistical modelinggoogle cloud platformamazon web serviceslogistic regressionTime Series AnalysisrHypothesis TestingtidyverseScikit-LearnShinyBayesian MethodsPythonSQLPandasMicrosoft AzureData TableMixed Effects Models

    About Ciklum

    Ciklum logo

    Ciklum

    IT Services & Consulting

    451

    employees

    2002

    24 years old

    London, England

    United Kingdom

    About

    Experience Engineering firm delivering innovative digital solutions and AI-driven technologies to address complex business challenges.

    Industries

    IT Services & ConsultingReal EstateTelecomFinTechEdTech

    Employee ratings

    177 reviews

    3.6/ 5

    Culture

    3.6

    Career growth

    3.3

    Work-life

    3.8

    Employees rate it well for

    Work Life Balance16Senior Management14Salary14Work Culture11Learning10

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