Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Data Scientist role.
Rezi rewrites your resume against Workhelix's job description. Free.
Tailor your resume to this Data Scientist role.
Rezi rewrites your resume against Workhelix's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Data Scientist posting at Workhelix — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Data Scientist posting at Workhelix — free, in seconds.
About the Role
Workhelix is seeking a Data Scientist to lead the analytical engine for Nucleus, our core product. This role involves owning the end-to-end analytical pipeline, from data ingestion and modeling to analysis and production deployment. You will also be responsible for developing internal tools to enhance analytical capabilities across the company and setting the data science roadmap.
Responsibilities
- Own the analytical pipeline
- Own the data mart and the ETL that unifies disparate customer systems into a single model
- Build and maintain the AI assessment: task decomposition, task-level AI acceleration scoring, and comparison against observed AI usage
- Design new analyses, adapted or custom, to answer customer-specific questions
- Write production code in Python and SQL that runs as part of the product
- Orchestrate analytical workloads in cloud infrastructure (containers, step functions, external APIs)
- Contribute directly to our product and platform codebases
- Build visualizations and narratives to communicate findings to technical and executive audiences
- Work with customer stakeholders and internal teams to ensure methods are understood, trusted, and acted upon
- Build internal tools that enable others to run their own analyses
- Raise the analytical bar across the organization
- Translate needs from forward-deployed strategists and product engineers into a prioritized data science roadmap
- Identify recurring problems across customers and decide what becomes core product versus custom work
Requirements
- 5+ years in data science, applied research, or a closely related field, with a demonstrated record of work that changed business operations
- Recognized as a go-to voice on method and rigor
- Strong programmatic thinking in Python and SQL
- Strong data modeling instincts and experience with modern transformation or semantic layer tooling (dbt, Looker, or similar)
- Depth across machine learning and predictive analytics, NLP including text embeddings and inference, and clustering methods
- Working knowledge of causal inference from observational data and quasi-experimental design
- Willingness to own work all the way into production on cloud infrastructure, including containerized and orchestrated workloads
- Direct experience with AWS or equivalent is great; a track record of learning unfamiliar technical territory and getting it right is equally good
- Strong data visualization and narrative skills
- Comfort reading current academic literature and translating it into practical value
- Judgment about when the simple approach captures most of the value, and the discipline to ship it rather than overbuild
- Thoughtful, self-aware use of AI in your own work
- Communication that earns trust with engineers, executives, and customer stakeholders
- Prior client-facing experience is welcome but not required
Skills
- Python
- SQL
- AWS
- Machine Learning
- Predictive Analytics
- NLP
- Text Embeddings
- Inference
- Clustering Methods
- Hierarchical Clustering
- Causal Inference
- Observational Data
- Quasi-experimental Design
- Data Visualization
- Data Modeling
- dbt
- Looker
Experience Level
- 5+ years
Salary/Compensations
- 184-222K + Commission + Equity
Benefits
- Competitive compensation package
- Health Benefits
- Chance to learn and collaborate with famous researchers in AI and digital economy
- High-trust, high-autonomy work environment
About the Company
- Workhelix is an enterprise SaaS company focused on helping organizations maximize their AI investments.
- Our software and expertise provide leaders with answers regarding the business value of AI, including opportunities, ROI, and acceleration.
- We utilize economics, AI, and data science expertise, pioneering a task-scoring method for GenAI opportunities and an ROI monitoring suite based on Nobel Prize-winning economics.
- We maintain a culture established on five key principles.
Equal Opportunity
- At Workhelix, we stand committed to ensuring an environment of mutual respect where equal employment opportunities are available without any discrimination.
- We believe diversity is critical to our success.
- Selection for employment will solely be based on qualifications, merit, and business needs.
- We encourage all qualified individuals to apply!