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Senior Data Scientist Manager

Remote: 
Full Remote
Contract: 
Work from: 

Offer summary

Qualifications:

7-10+ years of experience as a Data Scientist with expertise in machine learning., Solid proficiency in Python and popular machine learning libraries like scikit-learn and TensorFlow., Strong understanding of statistics and mathematics relevant to model development., Excellent communication skills in English and fluency in Polish..

Key responsabilities:

  • Develop and implement advanced machine learning models to address complex business challenges.
  • Perform comprehensive data analysis to inform strategic decisions.
  • Collaborate with cross-functional teams to gather requirements and deliver insights.
  • Manage large datasets, including data preprocessing and feature engineering.

emagine logo
emagine Large https://www.emagine.org/
501 - 1000 Employees
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Job description

🌍Location: fully remote (occasional in the office).

⏰Start date for assignment: 1-2 months.

💰Rate: up to 190 zl/h B2B.

⏳Duration of assignment: 12 months first contract (prolongation expected).

📕Language: English.

💻Workload: Full time.

Introduction & Summary:

emagine is seeking a dynamic and experienced Senior Data Scientist Manager to join our team. The ideal candidate will possess exceptional skills in data science, machine learning, and a strong proficiency in programming with Python. We require a consultant who can effectively bridge the gap between technical data solutions and actionable business outcomes, ensuring that our clients receive top-tier advice and implementation support. Full-time availability is preferred, and remote work is accepted with occasional onsite visits.

Main Responsibilities:

  • Develop and implement advanced machine learning models to solve complex business problems.
  • Perform comprehensive data analysis and interpretation to inform strategic decisions.
  • Collaborate with cross-functional teams to gather requirements and deliver data-driven insights.
  • Manage large datasets and perform data preprocessing and feature engineering.
  • Communicate findings effectively to both technical and non-technical stakeholders.
  • Stay abreast of emerging trends and technologies in data science.
  • Managing other people and sharing knowledge.

Key Requirements:

  • 7-10 + years of experience as a Data Scientist, with proven expertise in machine learning.
  • Solid proficiency in Python and popular machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
  • Experience designing and deploying end-to-end machine learning solutions.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.
  • Strong understanding of statistics and mathematics in the context of model development.
  • Excellent problem-solving, critical-thinking skills, and innovative solution proposals.
  • Excellent communication skills in English (both written and spoken).
  • Fluency in Polish is essential.
  • People management.

Nice to Have:

  • Experience with Generative AI and Large Language Models (LLMs).
  • Knowledge of natural language processing (NLP) or computer vision techniques.
  • Additional programming skills in R, SQL, Java, etc.
  • Experience with big data tools like Hadoop or Spark.

Required profile

Experience

Spoken language(s):
EnglishPolish
Check out the description to know which languages are mandatory.

Other Skills

  • Communication

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