Sales - AI Data Scientist
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
As a DI Data Scientist you will employ predictive modeling data visualization and statistical analysis techniques to build end-to-end solutions for internal collaborators using sales performance data market data programs external data role will operate in both capacities to augment existing data solutions as well as innovate and inventing data science projects crafting analytic experiences that simplify data into insights and catalyze is a team sport and in your role you will be key in leading and influencing teams on the translation of business problems and questions into data science models.
- Were looking for someone with an eagerness and ability to learn new skills and solve dynamic problems in an encouraging and expansive environment.
- Familiarity with vector similarity search RAG architectures and LLM prompt evaluation.
- Experience co-developing with software engineers in production environments.
- Ability to lead development projects from start to finish.
- Comfort with ambiguity. Ability to structure complex analysis through data analysis and strategy research.
- Collaborate closely with business teams to deep dive into business performance and improve reporting dashboards on key operational metrics.
- 4 years of experience in a Data Visualization Data Science Data Analysis or Data Translation role with a keen eye for design and attention to detail.
- Applied knowledge of statistical data analysis predictive modeling classification Time Series techniques sampling methods multivariate analysis hypothesis testing and drift analysis.
- Proficiency in SQL and experience with at least one major data analytics platform such as Hadoop Spark or Snowflake.
- Expertise with data visualization tools (such as Tableau d3 plotly etc.) for data analysis and presentation. Experience with Tableau Server TabPy and Extensions is a plus.
- Proficiency in programming languages tools and frameworks like Python Git Notebooks Dataiku and Streamlit.
- Knowledge of project management and productivity tools such as Wrike Sketch.
- Strong time management skills with the ability to collaborate across multiple teams.
- Knowledge of best practices in data analysis data visualization and data science.
- Able to balance competing priorities long-term projects and ad hoc requirements.
- Ability to work in a fast-paced dynamic constantly evolving business environment.
- Bachelorss degree in Computer Science Statistics Mathematics Engineering Economics Applied Mathematics Machine Learning or a related field.
- Experience with observability tools for LLMs (e.g. LangSmith Truera Weights & Biases)
- Proven experience working with LLMs and GenAI frameworks (LangChain LlamaIndex etc.)
- Strong experience articulating and translating business questions into data solutions.
- Communicate results and insights effectively to partners and senior leaders as well as both technical and non-technical audiences.
- Experience with anomaly detection and causal inference models.
- Sound communication skills - adept at messaging domain and technical content at a level appropriate for the audience. Strong ability to gain trust with stakeholders and senior leadership.
- Familiarity with embedding retrieval algorithms agents and data modeling for vector development graphs.
- Advanced Degree (MS or Ph.D.) in Economics Electrical Engineering Statistics Data Science or a similar quantitative field.
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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