Brillio 2

Senior Data Scientist - R01561661

Gurgaon, Haryana, India April 15, 2026 Lever
Data Scientist
Data Scientist

Primary Skills

  • Problem Formulation (Business problem to Data Science Problem), OKR Validation against statistical measures, Data Wrangling, Data Storytelling & Insight Generation, Problem Solving, Excel VBA, Data Curiosity, Technical Decision Making (How many iterations to go for vs when to stop iterating), Communication & Articulation: Vocal & Written, Business Acumen (Consume new domains quickly to learn through data), Design Thinking, Data Literacy

    • Specialization

  • Data Science Foundation: AI/ML Engineer

    • Job requirements

  • Experience Range: 4 - 6 years of experience in data science, with demonstrated expertise in formulating business problems into data science solutions Key Responsibilities: 1. Formulate complex business challenges into actionable data science problems and design tailored analytical solutions 2. Validate objectives and key results (OKRs) using robust statistical measures and ensure alignment with business goals 3. Conduct comprehensive data wrangling, cleansing, and transformation to prepare datasets for modeling and analysis 4. Generate actionable insights and compelling data stories through advanced exploratory analysis and visualization techniques 5. Apply Excel VBA for automation, data manipulation, and custom reporting to streamline analytical workflows 6. Make informed technical decisions on model iterations, balancing performance improvements with resource constraints 7. Collaborate with cross-functional teams to rapidly acquire domain knowledge and drive data-driven decision making 8. Communicate findings clearly through vocal and written channels, articulating technical concepts to business stakeholders Required Skills: 1. Expertise in problem formulation from business requirements to data science solutions 2. Advanced proficiency in statistical validation of OKRs 3. Strong data wrangling and preprocessing skills using Python or R 4. Data storytelling and insight generation through visualization tools such as Tableau or Power BI 5. Excel VBA for automation and advanced data manipulation 6. Technical decision making in iterative model development 7. Data literacy across multiple domains 8. Design thinking in analytical solution development 9. Experience with machine learning model development and evaluation 10. Ability to quickly consume and analyze new domain data Preferred Skills: 1. Experience with cloud-based analytics platforms (e.g., AWS, Azure, GCP) 2. Knowledge of advanced statistical modeling techniques 3. Familiarity with big data frameworks such as Spark or Hadoop 4. Expertise in deploying data science solutions to production environments 5. Proficiency in advanced data visualization libraries (e.g., D3.js, Plotly) Desired Qualifications: 1. Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field 2. Relevant certifications in data science or analytics (e.g., Microsoft Certified Data Scientist, Google Professional Data Engineer)
    • Apply on company site

    How to Get Hired at Brillio 2

    • Tailor your resume for each Brillio role by matching the exact technology keywords from the job description — Azure Data Factory, Microsoft Fabric, Power BI, Snowflake, and PySpark appear across many current openings, and Lever's search algorithms rely on precise keyword matches.
    • Position yourself as a consultant, not just a technician — highlight client-facing experience, stakeholder communication, and business outcome delivery in your resume and interview responses, since Brillio's model demands both technical depth and consulting soft skills.
    Read the full guide

    How well do you match this role?

    Check My Resume

    Similar Jobs

    Brillio 2

    Senior AI Technical Product Manager - R01563914

    New York, New York, United States
    Brillio 2

    Process Associate - R01563888

    Hyderabad, Andhra Pradesh, India
    Brillio 2

    Process Associate - R01563889

    Hyderabad, Andhra Pradesh, India