➡️ Apply here: Lead Data Scientist (LLM)
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**WaveAccess is looking for a Lead Data Scientist** who can take the lead in understanding client needs, proposing solution approaches, and validating ideas through prototypes and pilots. Strong ML and Python skills are required, but the primary focus is on **shaping the solution**, not just implementing it.
**Responsibilities:**
* Participate in presales: engage with clients, clarify business goals, explore possible approaches, and outline feasible data-driven solutions
* Propose and justify solution strategies, evaluating which ML methods, data flows, and technologies best fit the client’s needs
* Build prototypes, MVPs, and pilot implementations to demonstrate feasibility and value quickly
* Guide the technical direction of projects, helping teams understand the overall approach and ensuring alignment with client expectations
* Work with diverse data sources to support solution design and validate assumptions through exploratory analysis
* Formulate hypotheses, select appropriate ML approaches, and evaluate them efficiently
* Clearly present findings, reasoning, and recommended direction to clients and internal teams
**Requirements:**
* 5+ years of commercial experience in data science or ML engineering.
* Work according to the American calendar.
* Ability to design the overall approach to solving a business problem before diving into implementation.
* Strong proficiency in Python and familiarity with the standard ML toolkit — sufficient to create high-quality prototypes and guide development.
* Deep understanding of ML concepts, trade-offs, and practical application.
* Experience in at least one of the following domains: recommendation systems, time series, NLP.
* Experience with LLM based solutions, including RAG and agentic systems
* Experience communicating with clients, presenting results, and explaining solution logic.
**Technical Skills:**
* Python
* Standard ML stack
* Understanding of one or more domain-specific ecosystems
* SQL basics
* Git (collaboration essentials)
**Preferred Experience:**
* Experience with advanced tools for ML/AI development
* Skill in using visualization tools to communicate insights and solution ideas
* Understanding of modern deployment practices (e.g., Docker) at a solution-level awareness
* Experience working in Agile teams
* Experience in working with US/EU based clients
**We offer the following conditions:**
* Work in a dynamic international team
* Opportunity for cooperation through individual entrepreneurship/self-employment
* Participation in foreign projects
* Health insurance with dental coverage
* Necessary equipment for work
* Corporate training programs
* Broad opportunities for self-realization, professional and career growth
* Democratic approach to processes and flexible start of the workday.