Middle Data Scientist

About the Project
Fuel card sales in the U.S. (all sales are conducted within the United States).
Project launch: March 2024.
Part of a logistics group: The project is a division of a U.S. trucking logistics group, which is the market leader in Uzbekistan.
The company is a registered IT Park resident with offices in Tashkent (two offices), Chicago, and Orlando.

Purpose of the Role
The main goal of this role is to design and implement a set of risk-based pricing models that determine individual fuel discounts ($/gallon) for customers based on 20–30 financial, behavioral, and industry-related factors. Models should cover new, existing, and churn-risk clients, with a clear business impact evaluation.

Key responsibilities :

• Data collection and cleaning — extracting data from various sources, preprocessing, removing missing values, duplicates, and errors to ensure data quality.

• Data analysis — performing descriptive and exploratory data analysis (EDA), identifying patterns, trends, and anomalies in the data.

• Data visualization — creating clear and informative charts and graphs using Python libraries (Matplotlib, Seaborn, Plotly).

• Machine learning model development — building and training basic models (linear/logistic regression, decision trees, k-means, etc.), evaluating their accuracy, and tuning hyperparameters.

• Documentation and reporting — preparing analytical reports and presentations.

• Continuous learning — keeping up to date with new tools, libraries, and approaches in data analysis and machine learning.

Requirements:

• Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
• Experience: 1–3 years of practical experience in data analysis or machine learning.
• Skills:

Proficiency in Python and SQL;

Strong knowledge of machine learning algorithms and data preprocessing;

Experience with data visualization tools (Tableau, Power BI, or Python libraries);

Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus.

• Strong analytical and problem-solving skills.
• Good communication and teamwork abilities.

Eagerness to learn new tools and technologies.

What We Offer

• Competitive compensation (discussed individually based on competencies).
• ​​​​​​​Direct access to company leadership – your expertise and ideas will be valued.
• 5/2 schedule following the U.S. production calendar for holidays and weekends.
• Working hours: 18:00–02:00 (Tashkent time).
• Office-based position in Tashkent.