Seargin company
SEARGIN IS HIRING!!
As a dynamic multinational tech company operating in 50 countries, we drive innovation and create projects that shape the future and greatly enhance the quality of life. You will find our solutions in the space industry, supporting scientists in the development of cancer drugs, and implementing innovative technological solutions for industrial clients worldwide. These are just some of the areas in which we operate!
Full-time position
Full remote work arrangement
Start date – January/March 2025
Responsibilities:
• Be a key contributor and idea nurturer at each stage of the data science lifecycle, from business understanding through model development to industrialization
• Design, build and maintain statistical/machine learning models to optimize business operations
• Lead exploration and experimentation with innovative ML techniques and approaches to maximize value generated by the team
• Be a thought leader in development of methodology within big scale transformational projects
• Communicate model & analysis results to a non-technical audience that includes stakeholders and senior management, and win their buy-in
• Coach and mentor other team members on multiple aspects of a data scientist role
Key Requirements:
• 2-3 years of professional experience building and industrializing machine learning solutions
• Very good command of Python and its use with version control (git) and testing
• Practical knowledge of SQL, PySpark & Databricks
• Experience in application of ML concepts and methodologies (regression and classification, time series modeling, feature engineering and selection, regularization etc.)
• Solid knowledge of ML techniques and algorithms (incl. various regression types, ensembles, clustering, decision trees, boosting, etc.) and their pros and cons
• Ability to reframe business challenges into data science problems and adjust ML methods & tools accordingly
• Good communication and presentation skills, in particular facilitation of grasping complex topics by broad audiences, incl. non-technical stakeholders
• Track record of effective collaboration with IT / data engineering teams in development and production phase
Preferred Qualifications:
We are looking for someone who has worked with traditional ML and time series.
