Job Summary: We are looking for a Data Scientist who can translate business problems into analytical solutions and deliver measurable outcomes. This is not a purely academic role — you will: Work on real datasetsBuild us…
Translate complex business problems into analytical solutions and build usable models for forecasting, classification, and recommendations. Collaborate with engineering teams to productionize models and deliver actionable business insights through dashboards and reports.
Requirements
Requires 2-5 years of experience in Data Science with strong proficiency in Python, R, SQL, and advanced statistical modeling. Candidates should have experience with MLOps tools, cloud platforms, and the ability to handle both real-time and batch data pipelines.
Full job description
Job Summary:
We are looking for a Data Scientist who can translate business problems into analytical solutions and deliver measurable outcomes.
This is not a purely academic role — you will:
Work on real datasets
Build usable models
Deliver business insights and decision frameworks
Key Responsibilities:
Problem Framing & Business Understanding
Translate ambiguous business problems into structured analytical approaches
Define success metrics aligned with business goals
Data Analysis & Feature Engineering
Perform exploratory data analysis (EDA)
Build meaningful features from structured and unstructured data
Handle data quality issues pragmatically
Model Development
Build and validate models for:
Forecasting
Classification
Recommendation systems
Hybrid models, Stochastic understanding
Deep learning models & ability to create hybrid versions of them
Focus on interpretability + performance
Communication & Storytelling
Translate model outputs into business insights
Create dashboards, reports, and presentations
Work with stakeholders across functions
Collaboration with Engineering
Work with MLEs to productionize models
Ensure models are practical and deployable
Job Location & Schedule:
·This job is an onsite job at Logile Bhubaneswar Office.
·It is expected that the selected candidate will be available to work with some hours of overlap with US working times
Required Skills & Experience:
· 2–5 years in Data Science / Analytics roles
· Experience solving real-world business problems Technical Skills
Core
Core
Python / R
Strong SQL
Experience with:
Scikit-learn
Family of trees
Stats-models
Transformer based models
Stochastic models
Understanding of advanced statistics
Understanding of parametric/non-parametric division
Understanding of frequentist and Bayesian modelling techniques.
Advanced Feature engineering
Ability to work with Data bases – Analytics ( Realtime & Batch ) along with vector data bases.
MLOps & Systems
Experience with:
Docker
REST APIs (FastAPI / Flask)
Cloud platforms (AWS / GCP / Azure)
Familiarity with feature stores and model registries
Data
Strong SQL skills
Experience with data pipelines and ETL workflows
System Thinking
Understanding of:
Latency vs accuracy trade-offs
Batch vs real-time systems
Failure handling and retries
Preferred Skills
Experience with LLM-based systems (RAG pipelines, embeddings)
Exposure to vector databases (FAISS, Pinecone, Weaviate)
Experience with streaming systems (Kafka)
Success in This Role Looks Like:
ML models are deployed and used in production
Pipelines are stable, monitored, and reproducible
Reduced time from experimentation → production
Minimal firefighting due to robust systems
Compensation and Benefits:
The compensation and benefits associated for this role is benchmarked against the best in industry and job location.
Standard shift: 1 PM – 10 PM (shift allowance applicable as per role).
Shifts starting after 4 PM: Eligible for food allowance/subsidized meals and cab drop.
Shifts starting after 8 PM: Eligible for cab pickup as well.
Logile helps retailers run great stores with confidence. As a global leader in AI-powered Connected Workforce solutions, Logile cuts through operational chaos with one platform and one plan to keep every shift, shelf and store in sync.
Offices: 5851 Legacy Circle, Suite 600, Plano, Texas 75024, US · JSS SOFTWARE TECHNOLOGY PARK, 6TH FLOOR, E#1/1, INFOCITY, BHUBANESWAR, Odisha 751024, IN
Logile helps retailers run great stores with confidence. As a global leader in AI-powered Connected Workforce solutions, Logile cuts through operational chaos with one platform and one plan to keep every shift, shelf and store in sync.
Offices: 5851 Legacy Circle, Suite 600, Plano, Texas 75024, US · JSS SOFTWARE TECHNOLOGY PARK, 6TH FLOOR, E#1/1, INFOCITY, BHUBANESWAR, Odisha 751024, IN