DATA SCIENTIST WITH PYTHON

Svitla Systems Inc. is looking for a Data Scientist with Python for a full-time position (40 hours per week) in Ukraine. Our client is an early-stage AI startup headquartered in South Carolina, the United States. 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 will leverage your expertise to tackle complex business challenges, drive data-informed strategies, and develop sophisticated machine learning models. The ideal candidate is a proactive problem-solver with a proven track record of delivering impactful data science solutions from conception to deployment. You will play a key role in shaping the data science initiatives, working on end-to-end projects, and collaborating with a talented team of engineers and researchers.

Requirements

• 5+ years of experience in applying data science and machine learning techniques to solve real-world problems.
• Bachelor’s, Master’s, or PhD in Data Science, Computer Science, Statistics, Mathematics, Physics, Engineering, or a related quantitative field.
• Deep understanding of statistical modeling, machine learning algorithms (e.g., backpropagation, regression, classification, clustering, ensemble methods, time series analysis, NLP techniques), and their underlying mathematical principles.
• Strong knowledge of Python for data science, including extensive experience with libraries such as Pandas, NumPy, scikit-learn, TensorFlow, PyTorch, Matplotlib, and Seaborn.
• Knowledge of at least one language relevant to GPUs or Accelerators (Python).
• Demonstrated experience in the end-to-end model development lifecycle, including data collection, preprocessing, feature engineering, model training, validation, and deployment.
• Understanding of SQL and relational databases.
• Excellent analytical, critical thinking, and problem-solving abilities with a strong data-driven mindset.
• Ability to clearly and effectively communicate complex technical concepts and results to technical and non-technical audiences.
• Experience in leading experiments or experimental components and working autonomously with minimal supervision.
• Track record of delivering high-impact data science solutions.

Nice to have

• Familiarity with NoSQL databases.
• Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) in applied settings.
• Understanding of MLOps tools and practices (e.g., MLflow, Kubeflow, Docker, Kubernetes).
• Strong experience with cloud computing platforms (e.g., AWS, Azure, GCP) and their associated machine learning services.
• Experience with big data technologies (e.g., Spark, Hadoop, Dask, Kafka).
• Published research in relevant AI/ML conferences or journals.
• Expertise in a specialized area such as Natural Language Processing (NLP), Computer Vision, Reinforcement Learning, or Recommender Systems.
• Knowledge of C++ for performance-critical applications.
• Familiarity with parallel computing and distributed computing.
• Exposure to CUDA programming for GPU acceleration.
• Understanding of GPU kernels and their optimization.
• Contributions to open-source data science projects.

Responsibilities

• Assist in the design, development, and implementation of advanced machine learning models and statistical analyses to address complex business problems.
• Take ownership of a data science experiment through the entire lifecycle: from problem definition/hypothesis, data acquisition and exploration, feature engineering, and model selection to deployment, monitoring, and iteration.
• Conduct in-depth exploratory data analysis (EDA) to identify significant trends, extract actionable insights, and formulate hypotheses.
• Develop robust and scalable data science experiments and code.
• Effectively communicate complex analytical results, insights, and recommendations to diverse audiences, including technical peers and non-technical stakeholders, through clear visualizations and compelling narratives.
• Collaborate closely with cross-functional teams (e.g., engineering, product, operations) to define experiment requirements, experiment with data science solutions, and help drive business value.
• Stay at the forefront of advancements in data science, machine learning, and artificial intelligence; evaluate and introduce new technologies and methodologies to the team.
• Ensure rigor in independent experiment design, model validation, evaluation, and testing.
• Contribute to the development of best practices for data science and experimentation.

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!