Data Science and Machine Learning Senior Associate

Overview

TekWissen is a global workforce management provider throughout India and many other countries in the world. The below client is a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet

Job Title: Data Science and Machine Learning Senior Associate

Location: Chennai

Work Type: Hybrid (4 Days work From Office)

Position Description

• As a Data Scientist, you will design and deliver production-grade solutions that power our global supply-demand matching systems.
• This is a cross-disciplinary role where you will sit at the intersection of Data Science and Software Engineering.
• You will go beyond theoretical modeling to build scalable, end-to-end data products that directly influence the client’s strategic direction.
• The primary focus of this role is high-accuracy demand forecasting and predictive modeling.
• You will be expected to navigate ambiguity, translate business problems into analytical formulations, and contribute to a culture of technical rigor.
• A key part of your success will be your ability to collaborate closely with software engineers and product owners, translating complex ML concepts into actionable technical solutions.
• Demand Forecasting & Predictive Modeling: Develop, implement, and validate algorithms (e.g., Time-Series, Causal Inference, Optimization) specifically tailored to demand forecasting and supply-chain efficiency.
• Cross-Functional Collaboration: Partner actively within a cross-disciplinary team to deliver analytics software. Contribute to technical specifications, participate in code reviews, and socialize results with non-technical business partners to foster data-driven decision-making.
• MLOps & Reliability: Build and maintain data-science pipelines for scalable deployment and retraining. Support the health of your models in production, including setting up proactive alerting and monitoring for data drift or bias.
• Visualization: Create visualizations to connect disparate data, find patterns, and tell engaging stories regarding market trends and supply constraints using applications such as QlikSense.
• Full-Lifecycle Ownership: Own the development process from data sourcing (ETL) and exploration to deployment, monitoring, and iterative improvement.

Key Responsibilities

• Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making
• Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data driven decision-making
• Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends
• Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation
• Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness

Skills Required

• Data Science, Big Query,, Data/Analytics, Google Cloud Platform - Biq Query, Data Flow, Dataproc, Data Fusion, TERRAFORM, Tekton,Cloud SQL, AIRFLOW, POSTGRES, Airflow PySpark, Python, API, Machine Learning

Skills Preferred

• Java

Experience Required

• Senior Associate Exp: 3 to 5 years experience in relevant field

Experience Preferred: Technical Experience

• 3+ years of hands-on experience with Python, SQL, and Machine Learning/Optimization techniques.
• Technical Domain Expertise: Expertise in Predictive Analytical Methods (e.g., Neural Networks, Ensemble Methods, Support Vector Machines) with experience in demand forecasting or market trend analysis.
• Production Experience: 2+ years of experience applying advanced statistical methods (e.g., Multivariate Analysis, Regressions, Cluster Analysis) within production-grade software environments.
• Quality Focus: Experience with testing strategies for ML, including bias detection and robustness checks.
• Software Engineering: Experience deploying and maintaining production software.

Education Required

• Bachelor's Degree

Education Preferred

• Master's Degree

Additional Information : The minimum requirements we seek

• Education: Bachelor's degree in Computer Science, Computer Engineering, Data Science, or a related technical field.Master’s degree in a quantitative field (e.g., Data Science, Statistics, Operations Research, Engineering, Computer Science) or equivalent professional experience.
• Technical Experience: 3+ years of hands-on experience with Python, SQL, and Machine Learning/Optimization techniques.
• Collaborative Delivery: Experience working within an Agile framework and a proven Proven ability to collaborate with software engineering teams to move models into production.
• Communication: Proven ability to translate real-world business problems into analytical formulations and interpret results for non-analytics partners.

Our preferred requirements

• Advanced Degree: Master’s degree in a quantitative or technical field.
• Technical Domain Expertise: Expertise in Predictive Analytical Methods (e.g., Neural Networks, Ensemble Methods, Support Vector Machines) with experience in demand forecasting or market trend analysis.
• Production Experience: 2+ years of experience applying advanced statistical methods (e.g., Multivariate Analysis, Regressions, Cluster Analysis) within production-grade software environments.
• Quality Focus: Experience with testing strategies for ML, including bias detection and robustness checks.
• Software Engineering: Experience deploying and maintaining production software.
• Cloud Deployment: Experience deploying solutions in a cloud environment (GCP preferred).
• Industry Context: Familiarity with Automotive OEM data, dealer relationships, order fulfillment, or large-scale supply chain logistics.

TekWissen® Group is an equal opportunity employer supporting workforce diversity.

Pay: ₹606,000.00 - ₹1,990,000.00 per year

Work Location: In person