Data Scientist- Python C# SQL Machine Learning

18 hours ago

Bangalore, India Anicca Data Science Solutions Full time
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.

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.
Support  data governance initiatives, metadata management, and gap analysis of current vs. target data flows.
Partner with engineering, product, and program management teams in an Agile environment.

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.
~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.

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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