Middle Data Scientist (в архиве)

17 Декабря

Партнерские Вакансии

Компания "Citi Fuel (ООО Staff Atlantic)"

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.