About this Role
We are looking for an experienced data scientist to join our growing Data Science team and help drive the development of cutting-edge data and machine learning solutions that optimize procurement for our enterprise customers. The Staff Data Scientist will work closely with data engineers, senior stakeholders, and other data scientists to design and implement scalable data pipelines, data algorithms, and ML models. You will take ownership of major data science initiatives such as entity resolution, pricing algorithms, demand forecasting, recommendations, and automating workflow decisions. The role requires strong technical skills, business acumen, and the ability to effectively communicate with both technical and non-technical stakeholders across the organization.
Responsibilities
- Design, prototype, and productionize machine learning models to optimize procurement processes
- Build and maintain data pipelines to support model training and inference
- Collaborate with Data Engineers / Engineering Operations on ML infrastructure/operations
- Define and evolve Data Science process and practices
- Work with product managers and the VP Data to define a data science roadmap aligned with business priorities
- Communicate data science work and results to leadership and cross-functional partners
- Provide mentorship to junior data scientists
- Fostering a culture of continuous learning and improvement
- Stay up-to-date (and keep the team up to date) on latest techniques and tools in ML & AI
- Keep a startup mindset: ship early and collect feedback sooner than later
- Set clear expectations and clearly communicate project statuses to stakeholders throughout the company
Necessary Qualifications
- 6+ years experience in data science or related quantitative field
- Strong expertise in machine learning, statistics, and data modeling
- Proficiency (6+ years experience) in Python and SQL
- Experience with AWS, Snowflake, dbt or similar cloud data stack
- Excellent written and verbal communication skills
- BS/MS in Computer Science, Statistics, Applied Math or related field
Ideal Qualifications
- PhD in quantitative field
- Experience applying ML to procurement/supply chain data
- Knowledge of game theory and mechanism design
Technologies and tools we use
- Data Motion: Snowflake, dbt, Pinecone, OneSchema
- ML and DS: Python, pandas, SQLAlchemy, Pydantic
- Workflow and Deployment: Github, AWS, Datadog, Code Climate
- Documentation and coordination: Jira, Confluence, Slack, Fellow, Lattice, Google Workspace
Arkestro is committed to providing our employees with a benefits package designed to give you the flexibility you need to ensure a healthy life/work balance. Arkestro offers our employees great benefits and perks, including, but not limited to:
- Competitive salary and startup equity
- Medical insurance covered up to 100%
- Dental and Vision Insurance
- Generous 401K matching
- Unlimited PTO
- We are highly supportive of flexible work hours
- We are a remote-first team, but we like to get together for team building, design sprints, and customer visits
- A one time allowance of $1,500 for home office supplies
- Annual budget of $1,000 for learning and professional development
- Diverse, inclusive, highly collaborative, and vibrant culture
Please note this job description may not be inclusive of all assigned duties, responsibilities, or aspects of the job described and that additional tasks may be assigned to the employee from time to time; or the scope of the job may change as necessitated by business demands. Arkestro reserves the right to change duties, responsibilities and activities at any time with or without notice.
