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Prime Holding

Senior Data Scientist


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    Tech Stack / Изисквания

    Are you looking for your next data science challenge where you go beyond data wrangling and making an actual impact through significant data insights? Are you constantly eager to grow and develop in a dynamic and supportive environment? Do you want to work on an outstanding data science team?

    Look no further and apply to join the Data Science and Analytics team at Prime.

    Skills And Qualifications:

    • Undergraduate or graduate degree in a quantitative field or comparable work experience
    • 3-5 years or more of experience in statistical modeling/econometrics/machine learning.
    • Ability and expertise in extracting insights from data and summarizing takeaways
    • Experience with Python
    • Ability to prepare and present compelling visualizations (e.g., Tableau, PowerBI)
    • Understanding of statistical and machine learning methods
    • Good understanding of Natural Language Processing and tools (e.g., LangChain, Hugging Face)
    • Good understanding of ML Ops practices and tools
    • Ability to work with different teams and communicate ideas and results to different stakeholders
    • Interest in Generative AI

    Nice to Have:

    • Experience in setting and using cloud infrastructure for data science tasks (e.g., Azure, AWS, Google Cloud)
    • Experience in writing quality code
    • Understanding of data pipelines
    • Demonstrated experience with ML Ops tools
    • Demonstrated experience with GenAI solutions, including API integrations

    Main tasks of the role:

    • Work on creating data models for specific use-cases
    • Data mining and data cleaning
    • Build visualizations to communicate data to decision-makers.
    • Deploy and fine-tune solutions based on commercially available LLMs (e.g., GPT-4)
    • Automation of the statistical modeling process
    • Communicate your findings to peers and management.

    What we offer:

    • Fully remote work with access to all our offices
    • Competitive remuneration package
    • Birthday presents
    • Referral program with attractive bonuses
    • Health insurance – VIP package
    • Food vouchers and corporate discounts
    • Work-life balance: 25 days paid vacation
    • Designated budget for home office equipment
    • Bonuses for special occasions
    • Access to technical books library, both online and offline
    • Individual account t for a LinkedIn Learning platform
    • Internal training and team-building
    • Challenging projects offering the opportunity to work on world-class products

    So, suppose you’re looking for a role where you will be challenged to learn, grow, and have a high impact. You aspire to become a multi-faceted professional who can use fast-paced environments to optimize processes, systems, and overall business strategy. In that case, you seem like someone we’d like to meet.