Senior Data Scientist

EPAM Systems Inc; Polska; Hybrid; PLN 180,000 - 270,000; Full time

Benefits offered by this job

Hybrid work by design

Remote within Poland

Employee Stock Purchase Plan 15%

Relocation opportunities

English classes

Growth and mentoring programs

Job summary

EPAM Systems Inc in Poland seeks a Senior Data Scientist to transform data into actionable insights for AI, cloud, and software programs. You will identify problems, gather data, build models, and present results to stakeholders across teams.

The role emphasizes Python development, data exploration, ML lifecycles, and collaboration with product and engineering. Docker/Linux/ML tooling experience is advantageous.

Qualifications

• 3+ years of relevant experience with data systems and data workstreams.
• Python coding to high quality standards (PEP-8).
• Ability to build models, develop hypotheses, and design experiments.
• Knowledge of ML lifecycle, evaluation metrics, and feature engineering.
• Ability to interpret analyses and present business recommendations.

Responsibilities

• Identify business problems and find data and methods to address them.
• Process large volumes of structured and unstructured data.
• Turn data into actionable insights and visualizations.
• Create data pipelines for feature engineering and cleaning.
• Present findings to stakeholders and coach others.

Skills

Python

Data analysis

Modeling

Experiment design

Communication

CRISP-DM

Education

Bachelor's / Master in CS or Math or Stats

Tools

Docker

Linux

CI/CD

MLflow

PyTorch

TensorFlow

PySpark

Job description

We are looking for a Senior Data Scientist to join our team.This job is about turning data into actionable knowledge, which requires a blend of scientific, problem-solving, analytical, technical, and communication skills. The role is primarily focused on (but not limitedto) solving business problems in the technological domain of Data Science.ResponsibilitiesIdentify business problems, find the right data and methods to address themProcess large volumes of structured and unstructured customer data using advanced analytical solutionsTurn analyzed data into unique actionable insights and business valueCreate high-quality data visualizationsCreate data pipelines for feature engineering, missing values treatment, outliers' detection, etcPerform research, build, and validate analytical, mathematical, econometric, descriptive, and predictive models that deliver better decisions across a broad range of industries and data sourcesEstimate, plan and coordinate the delivery of moderate/large sized projectsEvaluate and select the best matching Data Science tools and librariesPresent findings in a clear and informative wayCommunicate effectively with different departments and roles (stakeholders, product managers, engineers) to discuss complex data-driven findings and technical mattersContinuously develop knowledge base within the Data Scientists team, participate in common brainstorming sessionsEducate junior and middle Data ScientistsRequirements3+ years of relevant experience working with a variety of information systems and dataWriting high-quality Python code according to PEP-8 guidelinesStrong knowledge of various data exploration and analysis techniques, ability to build models or analytical frameworks, develop hypotheses, and design experimentsAdvanced knowledge in one of the domains: Computer Vision, Time Series, Natural Language Processing, Recommendation Systems, Predictive AnalyticsKnowledge of EDA, classical vs advanced Machine Learning models, model performance metrics and losses, model fine-tuningKnowledge of pros&cons for SOTA ML architectures and applicable use cases for themUnderstanding of ML projects' life cycle and ability to follow methodology processes (CRISP-DM, TDSP, LeanDS, etc.) used in data science projectsAbility to design and supervise data labeling processAbility to interpret and report results of analyses, provide business recommendations; ability to coach and train othersNice to haveStrong academic background, Bachelor's / Master's Degree in Computer Science, Math, Applied Statistics, or a related fieldMachine Learning Engineering mindset, experience with Docker, Linux, CI/CD, MLflow, etcProjects completed using different methodology/models or knowledge of one of the Deep Learning frameworks (PyTorch, TensorFlow)Experience with ML services of cloud providers: AWS, Azure, or GCPExperience with PySparkSome experience in ML project technical leadershipWe offerWe gather like-minded people:Top tech minds driving innovation in AI, cloud and digital platform modernizationSupportive team and agile, startup-like cultureHybrid by design mode and opportunity to work remotely within PolandChance to work abroad for up to 60 days annuallyBusiness-driven relocation opportunitiesWe provide growth opportunities:Career development programsThought leadership, mentoring, soft skills and well-being programsCertification (Anthropic, Gemini, GCP, Azure, AWS)English classesWe cover it all:Stable payParticipation in the Employee Stock Purchase Plan with a 15% discountBenefits package (health insurance, multisport, shopping vouchers)Referral bonuses up to $2,000Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and moreCorporate, social and well-being eventsPlease, note:Benefits listed above are available to employees onlyWe are open for working with Contractors. Terms of B2B cooperation agreements are agreed individuallyWe will reach out to selected candidates exclusivelyEPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.