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Data Scientist jobs in ISRO Layout, Karnataka

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    • Intelligence derived from computer vision, video, and sensor data.
    • Customer, Growth & Commerce Intelligence.
    • Customer profiling, segmentation, lifetime value (…
    • Need solid skills using Pyspark for processing big data (efficient data transformations).
    • Design and develop scalable applications leveraging Generative AI…
    • Experience in data analysis, data science, or related fields.
    • The team encompasses a variety of disciplines from data governance and strategy to reporting, data…
    • Need solid skills using Pyspark for processing big data (efficient data transformations).
    • Need solid skills using Pyspark for processing big data (efficient…
    • Provide mentorship and guidance to junior data scientists.
    • You will work closely with senior data scientists and cross-functional teams to develop and implement…
    • Participate in data collection and preprocessing efforts.
    • Visualize data insights using appropriate tools and techniques.
    • Collect, clean, and preprocess data for analysis; 3.
    • Conduct exploratory data analysis and interpret results to provide actionable recommendations; 5.
    • Analyze data quality issues, document findings, and propose remediation strategies.
    • Analyze data quality issues, document findings, and propose remediation…
    • Data modeling and data quality fundamentals.
    • The role combines data engineering, LLM/agentic workflow development, and LLM evaluation & quality assurance,…
    • The Technical Director will lead platform evolution, feature migration, horizontal scalability, and customer adaptations, while also acting as a strategic…
    • Expert level developer with a very strong Python (Numpy, Pandas, siki-learn and other data science libraries).
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    • Contributes to the exploration, refinement and deployment of data science solutions.
    • Demonstrates ability and initiative to identify and explore novel…
    • Collaborate with data scientists, engineers, and product teams to translate business problems into ML solutions.
    • Data handling, data processing and programming.
    • Ability to handle large quantities of data.
    • Develop automated solutions for sourcing/loading Entity data into…
    • Perform activities related to data wrangling model building and model deployment.
    • Ability to communicate actionable insights using data often to a non technical…

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Job Post Details

Data Scientist - job post

Weekday
4.0 out of 5 stars
Bengaluru, Karnataka
₹20,00,000 - ₹40,00,000 a year

Job details

Pay

  • ₹20,00,000 - ₹40,00,000 a year

Job type

  • Full-time

Location

Bengaluru, Karnataka

Full job description

This role is for one of our clients
Industry: Retail
Seniority level: Associate level

Min Experience: 1+ years

Location: Bengaluru, Mumbai

JobType: full-time

Requirements

1. Customer, Growth & Commerce Intelligence

  • Search, ranking, recommendations, and personalization
  • Customer profiling, segmentation, lifetime value (LTV), churn analysis, and loyalty programs
  • Optimization of acquisition, engagement, retention, and customer lifecycle
  • Evaluation of marketing effectiveness, attribution, uplift, and experimentation

2. Monetization, Pricing & Promotions

  • Dynamic pricing strategies and markdown optimization
  • Assessment of promotion effectiveness and personalization of offers
  • Ad relevance, bidding intelligence, and performance measurement
  • Optimization of margins and revenue intelligence

3. Supply Chain, Planning & Availability

  • Large-scale demand planning and forecasting
  • Inventory management, replenishment, and allocation optimization
  • Network planning, sales & operations planning (S&OP), and fulfillment intelligence
  • Optimization of product availability, selection depth, and service levels

4. Store, Operations & Physical Retail Intelligence

  • Enhancing store efficiency, labor optimization, and compliance monitoring
  • Planogram analytics and assortment effectiveness
  • Intelligence derived from computer vision, video, and sensor data
  • Prevention of shrinkage, fraud, and loss

5. Platform, Automation & Next-Generation AI

  • Embedding intelligent decision engines into workflows
  • Agentic systems for automated planning, execution, and monitoring
  • Modeling based on causal inference, simulations, and digital twins
  • Reusable machine learning platforms, feature stores, and inference systems

Must-have skills

Retail recommendations

Good-to-have skills

PyTorch, TensorFlow, XGBoost

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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