Manager- Data Science IND

First Solar reserves the right to offer you a role most applicable to your experience and skillset.

Basic Job Functions:

This position manages the operations through design and statistical analysis of business initiatives and experiments. Works with business partners to understand what the business needs and issues are to address. Applies advanced knowledge of statistics and data mining (e.g., predictive modelling, simulation) or other mathematical techniques to recognize patterns and create insights from business data. Designs, develops, and evaluates statistical and predictive models that lead to business solutions. Supports implementation efforts. Should lead and mentor the team.

Education/Experience:

Bachelor’s degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 6+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development

Master’s degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 4+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development

PhD degree in Data Science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 3+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development

Required Skills/Competencies:

Demonstrated skill of managing teams; Ability to coach and mentor team members to drive results

Demonstrated experience with programming languages and statistical software tools (Python, SAS, R, JMP or similar), relational databases (SQL server), data analysis and visualization software (preferably PowerBI, SAS).

Demonstrated experience with standard data science and machine learning packages such as Numpy, Pandas, Matplotlib, seaborn, bokeh, plotly

Demonstrated experience with the machine learning model stack (regression, classification, neural networks, time series) and packages (Scikit learn, Xgboost, Keras, Pytorch, Tensorflow, statsmodels)

Demonstrated experience of the machine learning model tradeoffs such as hyper-parameter tuning, regularization, cross-validation, skewness in data, dimensionality reduction, and complexity vs interpretability.

Demonstrated experience with utilizing advanced descriptive statistics and analysis techniques (such as forecasting, analysis of variance, t-tests, categorical data analysis, nonparametric data analysis, cluster analysis, factor analysis and multivariate statistical analysis) design business experiments and measure the impact of business actions.

Demonstrated experience with computer vision models (e.g. image classification, object detection, and segmentation)

Demonstrated experience on Generative AI implementation, AI agents and relevant stack

Demonstrated experience on deployment of models and MLOPs and AIOps.

Strong understanding of any of the cloud platforms

Demonstrated experience working with various business partners to scope and design the statistical framework for business solutions and socialize and help integrate results.

Strong communication skills to work with groups, and experience with communicating business implications of complex data relationships and results of statistical models to multiple business partners.

Essential Responsibilities:

Statistical Analysis & Model Development

Partners with business stakeholders within assigned domain to identify and scope analytical opportunities aligned to business priorities

Works with data engineering, IT, and Enterprise Data Management teams to access, prepare, and validate datasets for modeling

Performs exploratory data analysis using statistical and machine learning techniques (e.g., regression, clustering, data mining) to generate insights and guide model development

Develops and implements programs/scripts for: Statistical testing, Correlation and feature analysis, Data validation and quality checks

Translates business problems into analytical hypotheses and modeling approaches

Leads experimental design for domain-level initiatives, ensuring alignment with business objectives

Applies statistical techniques such as:ANOVA, t-tests, Regression and multivariate analysis &

Simulation methods

Develops predictive models (e.g., regression, classification, time-series models) to support business decisions

Builds and deploys specialized models (e.g., computer vision models) where applicable to the domain

Defines testing strategies and evaluates model performance using appropriate metrics

Iterates on models by incorporating findings and improving accuracy and business relevance

Owns end-to-end delivery of analytics solutions within their area, ensuring timelines and quality

Provides technical guidance, code reviews, and mentorship to data scientists and analysts in the team

Supports execution of complex experiments, while aligning with broader strategy set by the Senior Management

Model Consultation, Implementation, & Communication

Acts as a domain-level lead, supporting business teams with data-driven insights and model-based decisioning

Leads medium to large analytics projects within the assigned area, ensuring successful delivery

Prepares and presents insights, recommendations, and model outcomes to business stakeholders

Works with cross-functional teams (engineering, product, operations) to: Integrate models into business processes, Enable adoption of analytical solutions

Communicates complex analytical concepts in a clear and actionable manner to non-technical audiences

Drives adoption and usage of models and insights within the business function

Supports knowledge transfer by: Training business users on analytics solutions & Upskilling junior team members on tools and methodologies

Contributes to defining and standardizing best practices, reusable frameworks, and analytical methodologies within the team

MLOps & Deployment Support

Works with engineering/MLOps teams to deploy models into production environments

Ensures models are tested, scalable, maintainable

Supports Model monitoring, Performance tracking, Periodic retraining processes

Contributes to improving deployment pipelines and automation practices within the team

Team Leadership & Delivery Management

Leads a team of data scientists within a specific domain or business area

Plans and allocates work, ensuring effective utilization of team capacity

Tracks progress, manages risks, and ensures on-time, high-quality delivery of projects

Coaches and develops team members through: Regular feedback, technical mentoring, Career development guidance

Ensures adherence to coding standards, documentation practices, and model governance protocols

Collaborate with peer Data Science Managers and the Senior Manager to align priorities and resource planning

Industry Research & Continuous Improvement

Stays updated on relevant analytical techniques, tools, and domain trends

Identifies opportunities to improve existing models, processes, and frameworks

Contributes ideas for innovation within their area and supports experimentation with new approaches

Applies emerging tools and methods selectively to enhance team effectiveness and solution quality

Reporting Relationships:

Will report to Senior Manager – Data science, India

This role will have direct reports

Travel:

Up to 10% Travel depending on Business requirements

Physical Requirements:

Will sit and stand for long periods of time during the day.

Will walk, climb stairs and on equipment.

May reach above shoulder heights and below the waist

May lift up to 50 lbs.

Required to use hands to finger, lift, handle, carry or feel objects.

May stoop, kneel, bend, talk and hear.

Specific vision abilities are required.

All associates working on the production floor may be required to wear a respirator at any given time and thus, the ability to wear a respirator is a condition of employment and continued employment (require little or no facial hair).

Office Physical Requirements:

All positions in our office require interaction with people and technology while either standing or sitting. To best service our customers, internal and external, all associates must be able to communicate face-to-face and on the phone with or without reasonable accommodation. First Solar is committed to compliance with its obligations under all applicable state and federal laws prohibiting employment discrimination. In keeping with this commitment, it attempts to reasonably accommodate applicants and employees in accordance with the requirements of the disability discrimination laws. It also invites individuals with disabilities to participate in a good faith, interactive process to identify reasonable accommodations that can be made without imposing an undue hardship.

Potential candidates will meet the education and experience requirements provided on the above job description and excel in completing the listed responsibilities for this role. All candidates receiving an offer of employment must successfully complete a background check and any other tests that may be required.

I have read and understand the above ‘Roles and Responsibilities’ for this position. I believe I meet the ‘Minimum Qualifications’ to perform the required ‘Essential Functions & Responsibilities’ to the best of my abilities.

Job Identification

1024699

Job Category

NPI-HSRT Integration Data Science

Posting Date

06/01/2026, 11:51 PM

Apply Before

06/02/2026, 11:00 PM

Job Schedule

Full time

Locations

Tamil Nadu, India

Work Schedule

Normal Shift (PMT)