We are looking for an experienced Senior Data Scientist / Data Analyst to step into a key backfill role, taking ownership of data integration, analytics, and orchestration of new data sources. This role will play a pivotal part in shaping our data strategy and collaborating closely with our AI Architect and MLOps Engineer to drive both our MVP and its future evolution.
About the client
A global technology advisory firm operating at the intersection of private equity and digital transformation.
Required Qualifications
- Experience
- 5+ years in data science or analytics (or data-forward business intelligence roles), with hands-on experience in data ingestion, analytics, and pipeline workflows.
- Strong track record collaborating with technical teams (e.g., AI, MLOps) to operationalize models.
- Technical Skills
- Proficiency in Python, SQL, and/or equivalent tools.
- Experience with prompt engineering and working with large language models.
- Capable of handling basic ETL tasks (e.g., ingestion, transformation, cleaning).
- Business Acumen
- Comfortable immersing in domain-specific challenges, possessing curiosity and a data-analytic mindset.
- Proven ability to translate data outputs into clear, strategic insights.
- Communication & Collaboration
- Skilled in articulating technical concepts to non-technical stakeholders through data storytelling.
- Self-starter with strong organizational skills, able to manage priorities and deliver with minimal guidance.
- Flexibility
- Availability for ~20 hours per week initially, with potential evolution of scope and commitment.
Preferred (Nice to Have)
- Experience in private equity, M&A, or investment analysis environments.
- Previous involvement in building data infrastructure, dashboards, or internal analytics platforms.
- Familiarity with AI/ML tooling, versioning, or deployment (e.g., basic exposure to MLOps practices).
- Domain knowledge in technology assessments, due diligence frameworks, or KPI-driven evaluations.
Key Responsibilities
- Data Strategy & Ownership
- Evaluate and integrate diverse data sources, proactively identifying new data opportunities.
- Develop and drive a scalable data strategy aligned with business goals.
- Advanced Analytics & Insights
- Perform deep-dive analyses to uncover trends, patterns, and actionable insights.
- Design dashboards, visualizations, and reporting to inform stakeholders across the organization.
- Prompt Engineering & LLM Integration
- Design, iterate, and refine prompts to optimally package data for large language model (LLM) input.
- Collaborate on training and fine-tuning strategies to enhance AI-driven deliverables.
- ETL & Data Pipeline Support
- Conduct light ETL tasks as needed to ingest, clean, and prepare data for analysis and model building.
- Cross-Functional Collaboration
- Partner with AI and MLOps teams to support MVP development and scale deliverables beyond initial milestones.
- Engage with business stakeholders to ensure data initiatives are aligned with the company’s strategy.
- Self-Driven Ownership
- Act with initiative and autonomy—understand our business, shape your roadmap, and act without requiring constant direction.
Our benefits:
- Professional and career growth promotion;
- Competitive salary;
- Program for veterans (which includes mentorship, an accessible office for individuals with disabilities, legal support, and additional benefits);
- Flexible working hours.
