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  • Data Scientist
    New

    Data Scientist

    Warszawa
    15 000 - 30 000 PLN/monthNet per month - B2B
    Type of work
    Full-time
    Experience
    Mid
    Employment Type
    B2B
    Operating mode
    Hybrid

    Tech stack

      Data Science

      advanced

      Machine Learning

      regular

      Python

      regular

    Job description

    A World-Changing Company

    At AICONIC we believe that radical transparency and algorithmic decision making is the future. We’re passionate about building software that solves problems. We partner with the most important companies and institutions in the world to transform how they use data and technology. If you're seeking a career where you can truly make a difference in the lives of others, a career where you can work at the absolute forefront of technology with the top minds in the field, you'll find it here. We work with great clients like Pfizer, Johnson & Johnson, UEFA and many others.


    The Role

    • Work on complex and extremely varied data sets from some of the world’s largest organizations to solve real world problems
    • Develop data science products and solutions for clients as well as for our data science team
    • Designing and deploying Machine Learning algorithms for industrial applications such as predictive maintenance, demand forecasting and process optimization, sales forecasting, marketing mix modelling, churn prediction, etc.
    • Collaborating with data and subject matter experts from AICONIC and its customer teams to seek, understand, validate, interpret, and correctly use new data elements.
    • Driving adoption and scalability of Generative AI and Deep Learning systems within AICONIC’s products and services.
    • In forecasting, predictions, we build products that powers the engine of sales and operations that makes sure customers get their products. We influence product availability through advanced forecasting and right ordering. Its challenging since it needs to be done whilst keeping waste reduction and optimal stock holding.
    • Work on developing of our AI Platform for predicting business needs like demand, orders, schedules, transportation, churn, etc.


    What is Required

    • At least 2-5 years of professional experience as Data Scientist
    • MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields.
    • Applied Machine Learning experience (regression and classification, supervised, self-supervised, and unsupervised learning).
    • Strong mathematical background (linear algebra, calculus, probability, and statistics).
    • Proficiency in Python and objected-oriented programming.
    • Familiarity with key Python packages for data wrangling, machine learning, and deep learning such as pandas, sklearn, tensorflow, torch, langchain, etc.
    • Ability to drive a project and work both independently and in a cross-functional team.
    • Smart, motivated, can-do attitude, and seeks to make a difference in a fast-paced environment.
    • Excellent verbal and written communication.
    • Track record of delivered AI projects, forecasting projects

    Nice to have:

    • R nice to have
    • Experience in Generative AI, e.g., Large Language Models (LLMs), embedding models, prompt engineering, and fine-tuning.
    • Experience with reinforcement learning.
    • A portfolio of projects (GitHub, papers, etc.).


    Our Proposal

    • Work from anywhere (home, office, etc.)
    • Starting from 15.000 - 30.000 PLN/month +VAT on a B2B contract
    • 26 days of paid holidays + an equivalent of public holidays in Poland
    • Additional benefits tailored to your needs (We do not follow a one-size fits all approach)
    • Startup atmosphere, less documentation and rules, we are open to experimenting and learning
    • Never alone in a project - always together 2 people at least
    • Very good place for people who are passionate about data


    What can you expect during the recruitment process

    • Home assignment
    • Screening call
    • Tech Interview
    15 000 - 30 000 PLN/month

    Net per month - B2B

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