Team Lead Data Science

Dataforest seeks a Tech/Team Lead Data Science to join a friendly, supportive team. We are Data Engineering company working on AI adoption in different industries.

We are looking for a person who likes challenges. This position offers the possibility of working as a Manager, however, to keep track of ongoing changes in the AI field and participate in AI projects.

As a Tech/Team Lead, you will collaborate with the CEO and CTO to define proper development processes, run an R&D practice, participate in pre-sale, and lead ongoing AI projects.

You'll be a great fit if you have:
5+ years of experience in Data Science field;
4+ years of experience with Python;
Strong management and leadership skills, leading the data scientists team;
Knowledge of data algorithms and data structures is a MUST;
Experience with business analysis and project management;
Knowledge of DS and Machine learning algorithms.
Experience with LLM, RAG , Langchain;
Experience with Databricks, Snowflake (Optional);
Knowledge of cloud solutions: AWS or Azure or GCP (Optional);
Experience in multithreading/multiprocessing approaches;
Proficiency with Docker, Kubernetes, and CI/CD pipelines;
Previous experience in a Team Lead role;

What you'll do:
Manage the data science department (10 people);
Perform code reviews and data scientist assessments;
Develop DS Architecture;
Participate in pre-sales activities;
Lead a data science projects;
Write clean and well-structured code that is easy to read and maintain;
Participate in decision-making processes related to design architecture, solution development, architectural, and code reviews;
Develop high-load solutions;
Conduct R&D work with new technology;
Maintain high-quality coding standards within the team.

We ensure your growth with:
Great networking opportunities with international clients and challenging tasks;
Building interesting projects from scratch using new technologies;
Personal and professional development opportunities;
Competitive salary fixed in USD;
Paid vacation and sick leave;
Flexible work schedule;
Friendly working environment with minimal hierarchy;
Team-building activities and corporate events.