Position: Lead Data Science/Machine Learning Engineer
Company: AltexSoft
Category: Data Science
Experience required: 3y
English level: upper

Required Skills:
- Good knowledge of Machine Learning algorithms and Data Analysis approaches
- Good knowledge of Python language, pandas, Scikit-learn, plotly/seaborn, etc.
- Good knowledge of databases and SQL
- Experience in ML productionalization (Flask or alternative web frameworks, Docker, etc.)
- Understanding and ability to work according to CRISP-DM or Scrum for DS methodologies
- Team leadership skills and real experience
- Experience in DS projects estimation and client engagement process
- Experience in client consulting on DS topics
- Ability to solve complex algorithmic problems
- Willingness to learn new things and grow professionally
- At least 3 years of experience in the Data Science area
- Upper-Intermediate level of English

Desired Skills:
- Experience in RecSys, NLP and/or CV area
- Knowledge of Deep Learning, experience with PyTorch or TensorFlow
- Experience in NoSQL databases (MongoDB, Redis, etc.)
- Experience with MLOps tools
- Good knowledge of at least one general-purpose programming language (C++, Java, C#, something else)

Responsibilities:
- As a Lead Data Scientist in AltexSoft you will be responsible for designing and leading ML research and engineering using state-of-the-art algorithms and MLOps practices for different projects. You will also participate in client consulting, requirements clarification, solution algorithm creation, and high-level estimates preparation. You will create Proof of Concepts, communicate the ML solutions with the client's business and technical people and guide technical teams on different stages of the DS process.
- As part of the Data Science team, you will work in close collaboration with Company’s Sales team, the Client’s stakeholders, Company’s and the Client’s Technical Teams, and Project and Delivery Managers.

What we offer:
- possibility to work remotely; 
- health care: reimbursement of medical expenses, online morning exercise; 
    educational opportunities:
- paid seminars  
- free access to the Pluralsight knowledge base  
- use of the library’s materials which are constantly updated   
- development opportunities:
- horizontally mastering new technologies in internal courses  
- vertically choosing your own career path through Competency trees  
- recognition program: all your activities are marked by points that can be exchanged for gifts to fit any taste