Transvolt Mobility - Senior Data Scientist - Deep Learning/Machine Learning

Role Description :

- We're looking for a Senior Data Scientist to lead high-impact machine learning initiatives within our Battery and Fleet Intelligence team.

- Understanding of Electric vehicles, battery and EV technology is a must.

- You'll turn large, complex vehicle and battery datasets into models and insights that directly influence product and business decisions.

- You'll own problems end-to-end from framing and modeling through to production deployment while partnering closely with engineering, product, and business stakeholders.

- This role suits someone who enjoys both the depth of applied ML and the discipline of shipping reliable, production-grade solutions.

Responsibilities :

Data Science & Modeling :

- Analyze large-scale structured and time-series datasets to uncover trends, anomalies, and actionable insights.

- Build, evaluate, and deploy ML models spanning regression, classification, time series, and ensemble methods.

- Apply statistical, Bayesian, and causal inference techniques for experimentation, A/B testing, and attribution.

- Design predictive and prescriptive analytics solutions tied to clear business objectives.

- Explore deep learning, NLP, or generative AI / LLM approaches where they offer a clear advantage over simpler methods.

MLOps, Deployment & Infrastructure :

- Deploy models as scalable APIs for real-time and batch inference, and package workloads using Docker and Kubernetes or managed cloud services.

- Implement CI/CD pipelines to automate model build, testing, and deployment.

- Monitor model performance, data drift, and production reliability, and act on degradation.

- Ensure reproducibility, version control, and governance across models and data pipelines.

- Work within AWS (S3, Athena, Glue, EC2, Lambda, DynamoDB) to build and optimize cost-effective, scalable ML solutions.

Data Engineering & Pipelines :

- Build and maintain data pipelines using PySpark, dbt, and Delta Lake in collaboration with data engineering.

- Perform data validation and quality checks across multiple upstream sources.

- Ensure pipeline reliability and performance to support downstream modeling work.

Collaboration, Communication & Mentorship :

- Partner with product managers, engineers, analysts, and business stakeholders to translate problems into data science solutions.

- Present findings and recommendations clearly to both technical and non-technical audiences.

- Contribute to documentation, knowledge sharing, and team best practices.

- Mentor junior data scientists and provide technical guidance across projects.

- Stay current with emerging trends in data science, ML, and AI, and bring relevant ideas back to the team.

Qualifications :

- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

- Equivalent practical experience will be considered in place of formal education.

Experience :

- 8 - 15+ years of experience in data science or applied ML roles, with at least 2 years taking models from prototype to production.

- Experience working in Agile or cross-functional product teams.

- Track record of owning ML projects end-to-end, from problem framing to deployed impact.

Must-Have Technical Skills :

- Experience in batteries analytics.

- Understanding of PHM, RUL, RTE, DTC.

- Strong expertise in machine learning, statistics, Bayesian methods, and causal inference.

- Advanced proficiency in Python and SQL.

- Hands-on experience with scikit-learn, TensorFlow or PyTorch, and statsmodels.

- Experience with MLflow, Git, CI/CD, Docker, and Kubernetes.

- Strong experience with AWS cloud services (S3, Athena, Glue, DynamoDB).

- Experience with big data frameworks such as Spark.

- Data visualization and reporting using Tableau or Power BI.

Good-to-Have Skills :

- Experience with NLP, computer vision, or transformer-based models.

- Understanding of vehicle data and CANBUS or willingness to learn.

- Exposure to LLM integration, generative AI, and prompt engineering.

- Experience with additional cloud platforms such as GCP or Azure.

- Familiarity with API design and microservices architecture.

- Experience with large-scale distributed systems and Hadoop.

- Experience writing and maintaining automated test cases.

- Strong technical documentation skills and experience owning end-to-end project planning scope, timelines, and dependencies for data science initiatives.

Soft Skills :

- Strong problem-solving and analytical thinking.

- Excellent communication skills across technical and non-technical teams.

- Ability to collaborate effectively in cross-functional environments.

- Strong documentation and organizational habits.

- Ability to work independently and prioritize in a fast-paced setting.

What We Offer :

- The opportunity to build production ML systems with direct, visible impact on EV battery and fleet performance.

- A collaborative, technically strong team working on real-world data science problems.

- Ownership and autonomy over your projects, from idea to production.

- Room to grow into technical leadership as the team and data science practice scales.

Location : Delhi, Gurugram.

(ref:hirist.tech)