Data Scientist

CIGROUPEMEA is seeking an adept Data Scientist with a minimum of 5 years of experience to join our dynamic team. The ideal candidate will possess a strong foundation in data engineering practices, proficient in SQL and Python, and adept in designing and implementing advanced machine learning models. This role involves leveraging data engineering expertise to drive data-driven decisions, optimize predictive models, and develop scalable solutions.

What will be your key responsibilities:


  • Develop Advanced Machine Learning Models: Leverage Python and machine learning libraries to design and implement predictive models, collaborating closely with data engineers to integrate models into existing pipelines.
  • Optimize Data Pipelines for ML: Enhance existing data pipelines to accommodate machine learning model inputs and outputs, ensuring seamless integration and efficient data flow.
  • Collaborate on Data Processing Infrastructure: Work closely with the data engineering team to enhance infrastructure capabilities for model training, validation, and deployment, using tools like Apache Kafka and Databricks.
  • Conduct Exploratory Data Analysis (EDA): Explore large datasets, perform statistical analysis, and identify patterns or trends crucial for model development and business insights.
  • Validate and Deploy ML Models: Validate model performance, fine-tune algorithms, and deploy models into production environments, ensuring scalability and reliability.
  • Contribute to Data-Driven Decision Making: Collaborate with stakeholders to translate model outputs into actionable insights, facilitating informed business decisions.
  • Stay Current with ML Trends: Continuously research and implement the latest advancements in machine learning techniques and technologies to enhance predictive models and strategies.

What experience should you have:


  • Education: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related fields.
  • Technical Skills: Proficiency in SQL and Python is a must. Solid understanding and practical experience in machine learning libraries (such as TensorFlow, scikit-learn, or PyTorch) and data manipulation tools (e.g., Pandas, NumPy).
  • Data Engineering Foundation: Experience in designing and implementing data pipelines, familiarity with Apache Kafka, Databricks, and Delta Tables.
  • Advanced Modeling Skills: Proven track record of developing and deploying machine learning models, understanding model evaluation metrics, and optimization techniques.
  • Collaboration: Excellent communication skills to collaborate effectively across multidisciplinary teams, translating technical findings into actionable insights for non-technical stakeholders.
  • Analytical Thinking: Strong analytical and problem-solving skills, with the ability to dissect complex problems and derive practical solutions.
  • Adaptability: Ability to work in a fast-paced, evolving environment, managing multiple priorities and delivering quality results within deadlines.

What do you get in return:

Our team is composed of experts in their fields who are passionate about delivering high-quality work and maintaining a positive work culture. We value innovation, teamwork, and personal growth. As an experienced Data Scientist, you will have the opportunity to make a significant impact on our projects and contribute to the success of our organization. If you are ready to embrace exciting challenges and foster a culture of excellence, we encourage you to apply.

What do we offer:

  • Work remotely from anywhere in the world, with a fully remote team, and enjoy a mutually agreed schedule that fits your needs. (Core US working hours) 
  • Work primarily with US-based colleagues, providing you with the opportunity to collaborate with people from diverse backgrounds and skill sets.
  • Use your skills and expertise to make a significant impact on the delivery of projects in our company
  • Work in a supportive environment that values your contribution and provides you with the resources and training you need to grow in your career.
  • Enjoy a 40-hour workweek that provides you with a healthy work-life balance, and the time to pursue your personal and professional goals outside of work.

Mám zájem o tuto pozici

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