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Svitla Systems, Inc.

DATA SCIENTIST

Svitla Systems, Inc.
Ukraine · Internship · Entry

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.

Requirements

  • 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, NumPy, 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.

Nice To Have

  • Experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
  • Proficiency with version control systems, notably Git and GitHub.
  • 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, GitHub repositories showcasing your work).

Responsibilities

  • 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 analytical frameworks.
  • Create clear and compelling visualizations and reports to communicate complex findings and model results to technical and non-technical stakeholders.
  • Stay current with the latest research and advancements in data science, machine learning tools, and industry best practices.
  • Thoroughly document data processing pipelines, model development processes, experimental results, and code.
  • Actively participate in team meetings, code reviews, and knowledge-sharing sessions..

We offer

  • US and EU projects based on advanced technologies.
  • Competitive compensation based on skills and experience.
  • Annual performance appraisals.
  • Flexibility in workspace, either remote or in one of our development offices.
  • Comprehensive medical insurance including dental and massages.
  • Sport reimbursement program for onsite and online activities.
  • Support of a healthy lifestyle, compensation for running events.
  • Bonuses for recommendations of new employees.
  • Bonuses for article writing, public talks, other activities.
  • Personal loan budget available for long-term personnel.
  • 20 vacation days, 10 national holidays and sick leaves.
  • Maternity leave policy and family days off.
  • Full compensation for conferences, courses, English classes.
  • Free webinars, meetups and conferences organized by Svitla.
  • Gifts for New Year, anniversaries, children, and more.
  • Fun corporate celebrations and activities, regular lectures on various topics.
  • Awesome team, friendly and supportive community!

Key Skills

Ranked by relevance

machine learning ai data analysis artificial intelligence data visualization parallel computing deep learning tensorflow matplotlib power bi ai tools big data tableau pytorch python pandas hadoop cloud numpy spark git sql aws gcp c
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Posted
Jun 16, 2025
Type
Internship
Level
Entry
Location
Ukraine

Industries

IT Services IT Consulting

Categories

Engineering Information Technology

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