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  • Senior Data Scientist
    Data

    Senior Data Scientist

    Type of work
    Full-time
    Experience
    Senior
    Employment Type
    B2B
    Operating mode
    Remote
    Kolomolo

    Kolomolo

    Kolomolo is a global leader in digital solutions, recognized for pushing the boundaries of technology. We prioritize autonomy, work-life balance, and continuous learning. Inspired by Scandinavian values, we offer a flexible, remote, and asynchronous work environment. Our team is passionate, supportive, and driven by innovation, fostering a fun and inclusive culture. If you're looking for a company that values growth, rewards hard work, and encourages creativity, Kolomolo is the place to take your career to the next level.

    Company profile

    Tech stack

      Data Science

      advanced

      Python

      advanced

      Machine Learning

      regular

      AWS

      regular

      Azure

      regular

      GCP

      regular

      PostgreSQL

      regular

      Tableau

      regular

      Power BI

      regular

    Job description

    Online interview
    Friendly offer

    馃殌聽Senior Data Scientist

    聽Location:聽Poland (Remote)

    Employment Type:聽Full-Time

    Experience Level:聽Senior (+5 Years)




    Join the Future of Digital Tech with Kolomolo

    At聽Kolomolo, we don鈥檛 just follow trends -聽we set them. As a global supplier of IT services and digital modernization solutions, we help businesses embrace cutting-edge technology to optimize their operations. Now, we are growing and looking for fresh talent to grow with us.

    Are you proactive, tech-savvy, and eager to build your career in IT?聽This role could be your perfect fit.



    About the Role

    We are seeking a聽Senior Data Scientist聽with a passion for machine learning and a track record of deploying models into production.聽You will be part of collaborative, commercially-focused projects involving diverse, high-volume data sets. Our data teams work closely with cloud architects, software developers, product managers, data engineers, and business stakeholders to create AI-powered, scalable solutions for operational optimization, predictive maintenance, and intelligent monitoring systems across modern cloud infrastructures.


    What You鈥檒l Be Doing

    • Take technical ownership of advanced analytics projects, driving the development of machine learning and AI solutions in an agile, fast-paced environment.
    • Partner with product managers and stakeholders to translate business challenges into clear, actionable data science solutions.
    • Analyze historical operational and telemetry data to uncover trends, patterns, and insights that support product and service enhancements.
    • Lead the development, preparation, and validation of data sets for machine learning applications, ensuring data quality, consistency, and security.
    • Design and implement predictive, prescriptive, and descriptive models using industry-standard tools and frameworks.
    • Engage with subject matter experts to understand domain-specific challenges and incorporate operational knowledge into data science solutions.
    • Write clean, efficient, and well-documented code to support data processing, modeling, and visualization workflows.
    • Share insights and recommendations with technical and non-technical audiences through clear reports and presentations.
    • Mentor junior team members and contribute to the continuous improvement of team processes and methodologies.


    What We Are Looking For


    • Bachelor鈥檚 or Master鈥檚 degree in Computer Science, Data Science, Mathematics, Engineering, or a related STEM field.
    • 5+ years of hands-on experience in applied data science, analytics, or machine learning, preferably within commercial or infrastructure-focused projects.
    • Strong foundation in building and deploying predictive and prescriptive analytics models.
    • Proficiency in Python and popular data science libraries (such as Pandas, Scikit-learn, PyTorch, TensorFlow, Keras).
    • Experience working with cloud-based environments (AWS, Azure, or GCP) and big data tools.
    • Familiarity with data visualization tools like Tableau, Power BI, or Python-based libraries (Plotly, Seaborn).
    • Expertise in querying and managing large databases (PostgreSQL, Hive, SQL, or similar).
    • Understanding of MLOps principles and experience with the full data science lifecycle - from problem scoping to model deployment and monitoring.


    What is in It for You


    聽Competitive salary and benefits

    聽Career development opportunities in a growing tech company

    聽Continuous learning culture: mentorship, internal training, and certifications

    聽Flexible, agile work environment (remote, hybrid, or on-site in Krak贸w

    聽Office perks: great coffee, tea, fresh fruit, snacks, and a fun atmosphere

    聽Flat management structure, where your voice matters

    聽Regular team events and a social, supportive work culture

    聽B2B contract or Contract of Mandate (Umowa Zlecenie)


    馃専聽Why Join Kolomolo?


    At聽Kolomolo, we prioritize innovation, agility, and autonomy. Our teams have the freedom to own their work, share ideas, and make meaningful contributions. Inspired by聽Scandinavian values, we believe in聽work-life harmony聽and creating an inclusive culture where everyone thrives.

    You will be part of a passionate, skilled, and friendly team that works hard and celebrates together. Here, you can build your career on your own terms, with opportunities to grow, learn, and make a real impact.


    Our Flat Structure & The Culture of Inclusion聽


    At Kolomolo, we break the corporate mold. We offer:

    • Agile Teams & Autonomy: No micromanagement. You鈥檒l own your projects and enjoy the freedom to innovate.
    • Work-Life Harmony: Inspired by Scandinavian values, we prioritize balance and flexibility, where聽remote work and asynchronous collaboration are in our DNA.
    • Learning & Growth: Continuous learning is at our core. We reward hard work, value smart ideas, and foster an environment of mutual respect and trust.
    • Inclusive Culture: We believe in DEI: diversity, equity and inclusion.聽We are committed to creating an environment where every individual, regardless of background, identity, or experience feels valued, respected, and empowered to thrive.


    Join Kolomolo and elevate your career with cutting-edge technology, a supportive team, and a company that truly values your input.

    Ready for the next step?聽Apply now聽and start an exciting journey of growth and innovation with us!


    Undisclosed Salary

    B2B

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