Data Scientist and Insights Lead
Data Scientist and Insights Lead
Posted on :
12-09-2025
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1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
12-09-2025
Job Description
In this role you will be a core technical contributor building models and intelligence layers that power our AI agents insights engines and GenAI-enhanced platforms. Youll develop robust ML pipelines design evaluators for LLM responses and embed decision-making intelligence into sales-facing tools. Your work will drive prescriptive analytics root cause analysis and agent behavior tuning. You will do all this by: - Developing and productionalizing ML models (e.g. forecasting anomaly detection attribution causal inference) used by our AI agents and insights platforms. - Building RCA and recommendation engines that enhance summarization and chatbot capabilities. - Analyzing agent interactions and implementing LLM evaluation pipelines to measure factual accuracy latency and user satisfaction. - Supporting experimentation and A/B testing for new insight types and interaction methods. - Partnering with AI engineers and PMs to scale features across regions and tools. - Acting as a data translator bridging the gap in expertise between technical teams made up of data analysts data engineers software developers and business partners. Successfully bridging analytics and business with the ability to speak the language of both. - Influencing upstream data model design driving KPI definitions and developing your own data solutions as needed. - Establishing a comprehensive roadmap to communicate and manage our commitments and stakeholder expectations while enabling org-wide visibility on progress. - Building and supporting dashboards and self-service tools (using several platforms) to analyze and present internal and external data. - Leveraging available AI/ML models across the company and translating those for US-specific needs.
- 8 years of hands-on experience in data science AI analytics engineering or similar technical analytics roles with experience across both traditional ML systems and familiarity with GenAI paradigms.
- Eagerness and ability to learn new skills and solve dynamic problems in an encouraging and expansive environment.
- Ability to lead the development of Data Visualization projects from start to finish.
- Proficiency in Tableau SQL and modern DataViz best practices.
- Proven ability to lead cross-functional delivery in a fast-paced environment.
- Proven ability to drive measurable business impact through data and automation.
- Strong written and verbal communication skills especially in stakeholder settings.
- Proficiency in programming languages tools and frameworks like Python Git Notebooks Dataiku and Streamlit.
- Knowledge of project management productivity and design tools such as Wrike and Sketch.
- Strong time management skills with the ability to collaborate across multiple teams.
- Able to balance competing priorities long-term projects and ad hoc requirements.
- Ability to work in a fast-paced dynamic constantly evolving business environment.
- B.S Degree in Computer Science/Engineering or equivalent work experience.
- Experience working with data science teams on insights generation leveraging LLMs.
- Strong experience articulating and translating business questions into Data products & solutions.
- 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.
- Passion for fostering inclusive team environments and valuing diverse perspectives.
- Advanced Degree (MS or Ph.D.) in Economics Electrical Engineering Statistics Data Science or a similar quantitative field are preferred.
Employment Type
Full-Time
Key Skills
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