Senior Data Scientist - Remote Opportunity in Serbia
About the Role
Join our team as a Senior Data Scientist and collaborate with some of EPAM’s largest clients. This Senior Data Scientist remote position offers a chance to transform data into actionable insights and a competitive edge for organizations. You will design and implement advanced analytical models and tools that empower organizations to make informed, data-driven decisions, address current challenges, and prepare for future opportunities.
What You'll Do
- Analyze large volumes of structured and unstructured data using advanced analytical and machine learning techniques.
- Develop, validate, and deploy descriptive and predictive models to drive business decisions.
- Translate complex data analyses into actionable business insights and value.
- Design and deliver high-quality data visualizations to communicate findings effectively.
- Collaborate cross-functionally with product managers, engineers, and other stakeholders to present data-driven recommendations.
- Mentor and train team members and stakeholders on data science concepts and best practices.
- Estimate, plan, and coordinate the delivery of mid-sized data science projects.
- Evaluate and select appropriate data science tools, libraries, and solution architectures.
- Propose and implement holistic data science solutions tailored to client needs.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Mathematics, Applied Statistics, or a related field.
- 3+ years of experience in data mining, statistics, or machine learning.
- Strong problem-solving skills and a data-driven mindset.
- Solid foundation in applied mathematics, statistical analysis, and machine learning.
- Proficiency in SQL and relational databases.
- Programming experience, preferably in Python.
- Hands-on experience with data analysis tools and libraries (e.g., NumPy, SciPy, scikit-learn, pandas, matplotlib, R, SAS, SPSS, MATLAB).
- Experience with Big Data technologies (e.g., Spark, MLlib).
- Proficiency with at least one major cloud platform.
- Experience deploying data science solutions to production environments.
- Strong data visualization skills.
- Excellent communication and presentation skills.
- Strong written and verbal English communication skills (B2+).
Nice to Have
- Good hands-on experience with Databricks.
- Experience with NLP, text mining, or computer vision.
What We Offer
- Diverse multicultural, multi-functional, and multilingual work environment.
- Global scope, international projects in different business domains: life sciences and healthcare, retail and distribution, software and hi-tech, etc.
- Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey.
- Numerous opportunities for self-development: hard & soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses.
- Knowledge-sharing with colleagues from EPAM's global tech communities.
- English language courses.
- 25 days holiday per annum.
- 5 days of sick leave without medical certification.
- Private health insurance for employees and discounts for private health insurance for family members.
- Discount for Fit Pass program.
- Comfortable modern offices in Belgrade and Novi Sad or remote work from any location in Serbia.
- Regular corporate and social events (parties, sport events, advanced CSR programs, etc.).
- Learning programs for kids (eKids).
This Senior Data Scientist role at EPAM offers a unique opportunity to work remotely while engaging in impactful projects. With excellent benefits and a supportive work environment, it's an attractive position for data professionals.
Who Will Succeed Here
Proficient in Python and SQL for building and deploying machine learning models, with hands-on experience in libraries such as Pandas, NumPy, and Scikit-learn for data manipulation and model training.
Self-motivated and disciplined, thriving in a remote work environment by effectively managing time and prioritizing tasks while collaborating with cross-functional teams using tools like Slack and Jira.
Strong analytical mindset with a solid foundation in statistics and experience in Big Data technologies such as Hadoop or Spark, allowing for robust data analysis and visualization to derive actionable business insights.
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