Junior Data Scientist

Svitla Systems Inc. is looking for a Data Scientist for a full-time position (40 hours per week) in Ukraine. Our client is an early-stage AI startup founded in 2024 and headquartered in Columbia, South Carolina. It is a human-centered artificial intelligence company dedicated to developing practical and approachable AI tools for real-world applications. Headquartered in Columbia, South Carolina, with a distributed team across the U.S., it is led by a founding team of tech entrepreneurs with over a decade of experience.

The company is dedicated to creating AI that enhances, rather than replaces, human intelligence. The company is currently developing an AI platform to empower knowledge workers, creatives, and small businesses.. They develop a human-centered, emotionally aware AI chat agent with customizable personalities that can serve as a witty companion, insightful consultant, or strategic advisor. Their technology supports multiple GPU platforms (ROCm, Metal, CUDA) and emphasizes creating natural, human-like interactions.

You will join their innovative Research & Development team, and this entry-level position is ideal for a recent graduate or early-career professional seeking to apply their data science skills to address real-world business challenges and advance within a supportive environment. The ideal candidate is enthusiastic about leveraging data to drive insights, possesses a strong foundational knowledge of machine learning concepts, and is proficient in programming.

You will work closely with experienced data scientists and engineers, contributing to the full data science lifecycle, from data exploration and model development to deploying solutions that impact the business.

• 2 years of professional experience.
• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• Understanding of fundamental statistical concepts, probability, and machine learning algorithms (e.g., linear/logistic regression, decision trees, clustering, gradient boosting).
• Knowledge of Python for data analysis and machine learning, with hands-on experience using core libraries (e.g., PyTorch, Pandas, Num Py, scikit-learn, Matplotlib, Seaborn).
• Demonstrable experience with data manipulation, data cleaning, feature engineering, and model evaluation techniques.
• Familiarity with SQL for data querying and database interaction.
• Strong analytical, critical thinking, and problem-solving skills with a keen attention to detail.
• Excellent verbal and written communication skills, with the ability to explain technical concepts clearly.
• Ability to work effectively both independently and as part of a collaborative team.
• A strong desire to learn, grow, and adapt in a fast-paced technological environment.

• Experience with deep learning frameworks (e.g., Tensor Flow, PyTorch).
• Proficiency with version control systems, notably Git and Git Hub.
• Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and their ML services.
• Understanding of big data technologies (e.g., Spark, Hadoop, Kafka).
• Experience with advanced data visualization tools (e.g., Tableau, Power BI, Plotly).
• Knowledge of C++ for optimizing performance-critical applications.
• Familiarity with parallel computing concepts and distributed systems.
• Exposure to CUDA programming for GPU acceleration in machine learning tasks.
• Basic understanding of GPU kernels and their application in accelerating computations.
• Prior internship experience in data science, software engineering, or a related analytical field.
• A portfolio of personal or academic data science projects (e.g., Kaggle competition entries, Git Hub repositories showcasing your work).

• Collect, clean, process, and validate large datasets from diverse sources to ensure data quality and integrity.
• Perform exploratory data analysis (EDA) to uncover trends, patterns, and actionable insights.
• Develop, train, evaluate, and iterate on machine learning models under the guidance and collaboration of more senior team members.
• Implement and test data science algorithms and techniques, contributing to the codebase and…