FASTTEK GLOBALpowered by Fast Switch - Great Lakes
Sholinganallur, Chennai
Data Science and Machine Learning Senior Associate #1056196Job Description:
What you'll be able to do:
- 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 Ford'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:
- Big Query,, Google Cloud Platform - Biq Query, Data Flow, Dataproc, Data Fusion, TERRAFORM, Tekton,Cloud SQL, AIRFLOW, POSTGRES, Airflow PySpark, Python, API, Data Science, Machine Learning, Data/Analytics
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, Bachelor's Degree, 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.