Job Description

Role description

We are looking for a

Senior Data Scientist

who is passionate about solving complex business problems using data. The ideal candidate will have strong hands-on experience in

Python

,

SQL

, and advanced

machine learning algorithms

, along with domain expertise in

forecasting

,

pricing optimization

, or

inventory planning

. You will work closely with cross-functional teams including product, engineering, and business stakeholders to drive data-driven strategies.

Key Responsibilities:

Design, build, and deploy

predictive and optimization models

for use cases such as

demand forecasting

,

dynamic pricing

, or

inventory optimization

. Translate business problems into analytical frameworks and provide actionable insights. Build and maintain scalable data pipelines and model workflows using Python and SQL. Collaborate with data engineers to ensure model integration into production systems. Present findings and recommendations to leadership using data visualizations and storytelling. Stay current with the latest techniques in

machine learning

,

statistics

, and

operations research

. Lead and mentor junior data scientists and analysts when required.

Required Skills and Experience:

5+ years of experience in a Data Science or Analytics role with a strong business impact. Strong programming skills in

Python

(pandas, scikit-learn, statsmodels, etc.). Proficiency in

SQL

for data extraction, transformation, and manipulation. Deep understanding of

machine learning algorithms

(regression, classification, clustering, time series forecasting). Experience with one or more of the following domains: +

Demand Forecasting

+

Price Optimization

+

Inventory Optimization / Supply Chain Analytics

Strong problem-solving and quantitative skills. Experience working with large datasets and distributed computing tools (e.g., Spark, Hadoop) is a plus. Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn).

Preferred Qualifications:

Master's or PhD in Computer Science, Statistics, Mathematics, Economics, Operations Research, or a related field. Experience in retail, e-commerce, manufacturing, or logistics is a strong plus. Exposure to optimization libraries (e.g., PuLP, OR-Tools, Gurobi) is a bonus. Experience deploying models using MLOps tools or platforms is a plus.

Skills

Python, SQL, ML Algorithms, Pandas, Scikit-learn, Matplotlib, Supervised Learning, UnSupervised Learning, Deep Learning, Statistical Analysis, Time Series Forecasting

About Tredence

Welcome to Tredence! Since our founding in 2013, we have been dedicated to transforming data into actionable insights, helping over 50 Fortune 500 clients win in their respective industries. With our headquarters in San Jose and a presence in 5 countries, our mission is to be the world's most indispensable analytics partner. At Tredence, we blend deep domain expertise with advanced AI and data science to drive unparalleled business value. We are excited to have you join us on this innovative journey.