Similar Jobs
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads Clinical Data Sciences activities for clinical trials, coordinating data acquisition standards, data management plans, quality risk indicators, third-party data oversight, and inspection readiness. Provides leadership and direction to data management resources, ensures data quality and timely deliverables, partners with cross-functional teams and external providers, and maintains compliance with SOPs, regulations, GCDMPs, ALCOA principles, and Trial Master File requirements.
Top Skills:
Alcoa PrinciplesClinical Data StandardsData Management PlansGcdmpTrial Master File (Tmf)
Healthtech • HR Tech • Professional Services
Execute and monitor statistical and econometric models for risk and loss measurement. Develop Python, R, PySpark, and SQL workflows to automate model execution, reporting, validation, and downstream integration. Analyze model performance, risk factors, and metrics; support governance, controls, remediation, and documentation. Collaborate with business, technology, operations, and model implementation teams to improve processes and integrate workflows into target platforms.
Top Skills:
GCPHiveImpalaOraclePysparkPythonQuartzRSQL
Artificial Intelligence • Big Data • Logistics • Machine Learning • Software • Transportation
Build, deploy, monitor, and retrain machine learning models for ETA forecasting, status extraction, and logistics automation. Develop NLP and LLM pipelines, manage end-to-end production ML workflows, diagnose performance gaps, and translate model improvements into business value. Collaborate with product, engineering, and operations teams while mentoring data scientists and making architecture tradeoffs.
Top Skills:
Amazon Ec2Amazon RedshiftAmazon S3Apache AirflowApache KafkaAWSGrafanaLlmsNlpPandasPythonScikit-LearnSnowflakeSQL
Build and deploy ML models on structured and unstructured data, design A/B tests, create visualizations, collaborate cross-functionally, operationalise pipelines with data engineering, develop domain expertise, and translate analyses into stakeholder recommendations.
Data
Scientist
Experience
4–7 years
Requirements
1
4–7 years of data science experience
2
Proficiency in SQL and Excel
3
Production engineering best practices: Git, Docker
4
Working knowledge of AWS Cloud
5
Foundational ML: regression, classification, optimisation techniques
Responsibilities
1
Analyse structured and unstructured data; build and deploy ML models
2
Collaborate cross-functionally for scalable, actionable insights
3
Design and execute A/B testing experiments
4
Develop subject matter expertise across diverse project domains
5
Translate analytical findings into clear recommendations for stakeholders
6
Work with data engineering to operationalise models and pipelines
7
Create visualisations to communicate data insights effectively
8
Stay updated on emerging data science tools and techniques
Experience
4–7 years
Requirements
1
4–7 years of data science experience
2
Proficiency in SQL and Excel
3
Production engineering best practices: Git, Docker
4
Working knowledge of AWS Cloud
5
Foundational ML: regression, classification, optimisation techniques
Responsibilities
1
Analyse structured and unstructured data; build and deploy ML models
2
Collaborate cross-functionally for scalable, actionable insights
3
Design and execute A/B testing experiments
4
Develop subject matter expertise across diverse project domains
5
Translate analytical findings into clear recommendations for stakeholders
6
Work with data engineering to operationalise models and pipelines
7
Create visualisations to communicate data insights effectively
8
Stay updated on emerging data science tools and techniques
SRM Technologies Chennai, Tamil Nadu, IND Office
Chennai, India
SRM Technologies Chennai, Tamil Nadu, IND Office
Perungudi, Campus 1A, 5th Floor, RMZ Millenia Business Park, , , , Chennai, Tamil Nadu, India, 600096
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
