Senior Data Scientist

12 hours ago

Bengaluru, Karnataka, India Anicca Data Science Solutions Full time ₹ 1,20,000 - ₹ 3,60,000 per year

Job Description – Senior Data Scientist

Location:
Bengaluru (Full-time, Onsite)

About Anicca Data

Anicca Data is a leading team of Data Science and Technology experts specializing in:

  • Personalization, Recommendation Engines, and Product Search Ranking
  • Loyalty Programs and Customer Analytics
  • Supply Chain Optimization (Demand Forecasting, Inventory, Replenishment & Allocation)

Our flagship products, including the
Sell-Through Module
and
Inventory Simulator
, empower clients to optimize aged inventory and improve product turn efficiency. Trusted by many global enterprises, we deliver
scalable, insightful, and actionable analytics solutions
while empowering clients to unlock the full potential of Big Data.

Role Overview

We are seeking a
Senior Data Scientist
with strong expertise in applied data science and machine learning. The role involves designing, developing, and deploying advanced models, building dashboards, and collaborating cross-functionally to deliver data-driven solutions that solve real-world business challenges.

Key Responsibilities

  • Design, build, and deploy advanced
    AI/Data Science solutions
    with a focus on scalability and ethical AI.
  • Apply expertise in
    machine learning frameworks
    and advanced techniques (LLM fine-tuning, RAG implementations, evaluation methods).
  • Conduct
    applied research
    in areas such as fraud detection, risk modeling, and automation.
  • Perform
    data analysis and profiling
    on large datasets (SQL/KQL), ensuring high-quality insights.
  • Collaborate with data engineers to validate pipelines, transformations, and ensure data accuracy.
  • Create and maintain
    Power BI dashboards
    aligned with business use cases.
  • Translate business needs into technical requirements and document
    business rules, logic, and lineage
    .
  • Support
    data governance
    initiatives, metadata management, and gap analysis of current vs. target data flows.
  • Contribute to
    UAT planning and execution
    alongside QA teams.
  • Partner with engineering, product, and program management teams in an Agile environment.

Required Qualifications

  • Education & Experience
    (one of the following):
  • 8+ years with a
    Bachelor's degree
    in Statistics, Mathematics, Physics, Econometrics, Computer Science, Engineering, or related field.
  • 6+ years with a
    Master's degree
    in the same fields.
  • 2+ years with a
    Ph.D.
    in the same fields.
  • Proven expertise in
    statistical modeling, feature engineering, model evaluation, and data pipeline design
    .
  • Strong command of
    SQL/KQL
    for querying and profiling large datasets.
  • Experience with
    data mapping, source-to-target documentation, and profiling
    .
  • Familiarity with
    modern data platforms
    (Microsoft Azure, Data Factory, Data Lake, Microsoft Fabric preferred).
  • Strong communication skills with ability to engage both technical and non-technical stakeholders.

Preferred Qualifications

  • Research contributions:
    publications, patents, peer-reviewed work
    .
  • Hands-on coding experience in
    Python
    (C# is a plus).
  • Experience with
    Power BI
    (or similar BI tools).
  • Knowledge of
    fraud detection workflows, vendor data integration, and cost optimization
    .
  • Familiarity with
    Agile or hybrid Agile/Waterfall delivery methods
    .
  • Proficiency with
    Excel, Visio, or other documentation tools
    .

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