Data Scientist - Analytics

Your Job
As a Data Scientist at Koch Capabilities India, you will apply data science, machine
learning, and advanced analytics to solve meaningful business problems. You will work on
predictive, forecasting, optimization, and decision analytics solutions that support
day-to-day and strategic decision making.
This is a hands-on role where you will own the end-to-end lifecycle of analytics solutions—
from problem framing and modeling through deployment and ongoing performance
monitoring. While exposure to Generative AI is valued, strong fundamentals in applied data
science and machine learning are essential.
Our Team
You will be part of a cross-functional Analytics and AI team delivering end-to-end solutions
across multiple business functions. The team partners closely with business stakeholders
and technical experts to move work from exploratory analysis into scalable,
production-ready solutions.
The team is focused on delivering measurable business impact through practical,
well-designed analytics solutions.
What You Will Do
• Translate business challenges into clearly defined analytical and machine
learning problem statements.
• Collect, clean, and prepare data; perform exploratory data analysis (EDA) to
identify patterns, risks, and data quality issues.
• Build, train, validate, and compare predictive, forecasting, and statistical models.
• Perform feature engineering and experiment with multiple modeling approaches
to improve performance.
• Evaluate models using appropriate metrics and ensure outputs are interpretable
and relevant for business decisions.
• Design solutions that are scalable, reliable, and suitable for production use.
• Support deployment through dashboards, APIs, data pipelines, or applications,
often in cloud environments.
• Monitor model performance and data drift; retrain and improve models as
needed.

• Communicate insights through clear visualizations and concise narratives for
both technical and non-technical audiences.
• Document data sources, methodologies, assumptions, and results to support
reuse, governance, and knowledge sharing.
Who You Are (Basic Qualifications)
• 3–5 years of hands-on experience in data science, analytics, or applied machine
learning.
• Experience using Python for data analysis and modeling (e.g., Pandas, NumPy,
scikit-learn, statistical libraries).
• Strong SQL skills and experience working with structured datasets.
• Hands-on experience with predictive modeling, forecasting, or optimization
techniques.
• Experience designing or contributing to production-ready analytics or ML
solutions that are scalable and maintainable.
• Experience working with large, real-world datasets.
• Working knowledge of data visualization tools such as Power BI, Tableau, or
similar.
• Ability to communicate clearly and collaborate effectively within
cross-functional teams.

What Will Put You Ahead
• Experience deploying machine learning or analytics solutions on cloud platforms
such as AWS or Azure.
• Experience with time series modeling, statistical forecasting, or optimization
methods.
• Understanding of MLOps concepts, including model versioning, monitoring, and
retraining.
• Exposure to Generative AI / large language models (LLMs), retrieval-augmented
generation (RAG), or AI-assisted analytics.
• Background in engineering, applied statistics, or operations research

At Koch companies, we are entrepreneurs. This means we openly challenge the status quo,
find new ways to create value and get rewarded for our individual contributions. Any
compensation range provided for a role is an estimate determined by available market
data. The actual amount may be higher or lower than the range provided considering each
candidate's knowledge, skills, abilities, and geographic location. If you have questions,
please speak to your recruiter about the flexibility and detail of our compensation
philosophy.
Who We Are
At Koch, employees are empowered to do what they do best to make life better. Learn how
our business philosophy helps employees unleash their potential while creating value for
themselves and the company.
Additionally, everyone has individual work and personal needs. We seek to enable the best
work environment that helps you and the business work together to produce superior
results.