Requirements: English
Company: emagine Polska
Region: Pozna , Greater Poland Voivodeship
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 experiencedSenior Data ScientistManagerto 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 peopleand sharing knowledge.
Key Requirements:
- 7-10 + years of experience as aData Scientist, with proven expertise in machine learning.
- Solid proficiency inPythonand 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 inEnglish(both written and spoken).
- Fluency inPolishis 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.