Data Scientist
- Posted 12 hours ago
- Be among the first 10 applicants
Job Description
Role: Data Scientist
Work Location: Bangalore
Experience: 6-8Yrs
Work Mode: Hybrid
Key Skills:
- Strong hands-on experience in Python and SQL
- Strong expertise in A/B Testing, Hypothesis Testing, and Experimentation
- Good understanding of Statistics, Statistical Inference, and Causal Analysis
- Experience in Machine Learning / ML Modelling
- Experience working with large and complex datasets
- Strong business acumen, strategic thinking, storytelling, and communication skills
- Ability to work closely with Business, Product, Engineering, and Data Science teams
- Experience with Tableau will be an added advantage
Key Responsibilities:
- Design and analyze A/B tests, experiments, and quasi-experiments
- Apply statistical methods to derive actionable business insights
- Build and/or deploy machine learning models as required
- Analyze complex datasets and identify meaningful patterns
- Present data-driven insights to business and senior stakeholders
- Develop scalable and reusable measurement frameworks
- Collaborate with cross-functional teams to support data-driven decision-making
The role requires a strong combination of statistical expertise, experimentation, machine learning, business understanding, and stakeholder management.
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Key Skills
About Company
Skills:
Java, Unix, Sql, Hive, shell scripting, Linux, MySQL, Data Visualization, Oracle, Python, Teradata, R
Skills:
data engineering , Data Analytics, Web Scraping, Deep Learning, Data Extraction, Nlp, MLops, Azure, Python, AWS, Generative AI, Git-based CI CD workflows, AI Agents, LLMOps, cloud platforms, large-scale data processing, RAG, Data Communication, Multimodal AI, synthetic data techniques, entity recognition
Skills:
snowflake , Tensorflow, Pytorch, Python, Statistical Analysis, Unsupervised Learning, Sql, Pandas, Spark, MLflow, Agentic AI systems, MLOps practices, Semantic retrieval systems, Kubeflow, Generative AI LLM Proficiency, Optimization Techniques, RAG pipelines, Vector databases, Scikit-learn, Correlation Analysis, MCP Model Context Protocol, supervised learning, Time-series analysis, Prompt Engineering, Advanced AI ML Development
Skills:
Gcp, Power Bi, Pyspark, Tableau, Azure, Python, Sql, AWS, Ai
Skills:
Ml, BigQuery, Sql, Deep Learning, Databricks, Azure, Python, AWS, embeddings, GNNs, statistical AI, dbt, graph-native models, Athena, custom graph algorithms