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Staff Data Scientist
JOB SUMMARY
Roles
Job details
Arkestro’s Predictive Procurement accelerates enterprise spend transformation, using AI and game theory to unlock trapped savings and reduce risk, enabling teams to influence significantly more spend. By combining AI with deep Negotiation Science, Supplier Science, and Process Science procurement teams can improve win-rates while strengthening supply chain agility.
As a fast-growing tech company, we’re looking for builders and innovators — people who thrive in the face of ambiguity and who have a selfless dedication to do whatever it takes to make Arkestro and our customers successful.
We believe in egoless execution and we are looking for people who will work together to solve hard problems.
If you're excited to help shape our future, contribute to our company culture, and help to drive our business forward there is a tremendous opportunity for you here at Arkestro. See Arkestro in action at arkestro. com. About this RoleWe are looking for an experienced data scientist to join our growing Data Team and help drive the development of cutting-edge data, machine learning, and AI 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. ResponsibilitiesLeading:Lead cross-team initiatives requiring data science expertise, driving alignment between Engineering, Product, Customer Success, and Data teamsParticipate actively in discussions with Product Management, shaping what we build and why based on data insights and technical feasibilityBuild and maintain trust with Customer Organization through clear communication of DS capabilities, limitations, and roadmapPresent complex technical work to executive leadership and non-technical stakeholders in ways that drive strategic decisionsOwn the data science roadmap and its evolution in partnership with VP Data, DS Leads, and Product leadershipSet clear expectations and clearly communicate project statuses to stakeholders throughout the companyFoster a culture of continuous learning through mentorship of junior data scientists and sharing of best practicesBuilding:Design, prototype, and productionize machine learning models to optimize procurement processesBuild and deploy AI systems into the procurement workflow, including robust eval frameworksCollaborate with Data Engineers on ML infrastructure, pipelines, and operations to support model training and deploymentDefine and evolve Data Science processes and practicesKeep a startup mindset: ship early and collect feedback sooner than laterStay up-to-date (and keep the team up to date) on latest techniques and tools in ML AINecessary
Qualifications
6+ years experience in data science or related quantitative fieldStrong expertise in machine learning, statistics, and data modelingProficiency (6+ years experience) in Python and SQLExperience with AWS, Snowflake, dbt or similar cloud data stackProven ability to communicate complex technical concepts to non-technical stakeholders and drive consensus across teams with competing prioritiesTrack record of leading cross-functional initiatives with measurable organizational impact beyond a single teamBS/MS in Computer Science, Statistics, Applied Math or related fieldIdeal
Qualifications
Demonstrated ability to mentor and elevate technical talent across teams, not just direct reportsPhD in quantitative fieldExperience applying ML to procurement/supply chain dataKnowledge of game theory and mechanism designTechnologies and tools we useData Motion: Snowflake, dbt, Pinecone, OneSchemaML and DS: Python, pandas, SQLAlchemy, PydanticWorkflow and Deployment: Github, AWS, Datadog, Code ClimateDocumentation and coordination: Jira, Confluence, Slack, Fellow, Lattice, Google WorkspacePay Range$190,000—$220,000 USDArkestro 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 equityMedical, Dental, Vision insurance premiums covered up to 100% (employee only)401K discretionary matchingUnlimited PTOA remote-first team with regular opportunities to get together in person for team building, design sprints, and customer visitsAnnual budget of $1,000 for learning and professional developmentDiverse, inclusive, highly collaborative, and vibrant cultureArkestro is an equal opportunity employer that is committed to diversity and inclusion in the workplace.
We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. DisclaimerPlease 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.
As a fast-growing tech company, we’re looking for builders and innovators — people who thrive in the face of ambiguity and who have a selfless dedication to do whatever it takes to make Arkestro and our customers successful.
We believe in egoless execution and we are looking for people who will work together to solve hard problems.
If you're excited to help shape our future, contribute to our company culture, and help to drive our business forward there is a tremendous opportunity for you here at Arkestro. See Arkestro in action at arkestro. com. About this RoleWe are looking for an experienced data scientist to join our growing Data Team and help drive the development of cutting-edge data, machine learning, and AI 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. ResponsibilitiesLeading:Lead cross-team initiatives requiring data science expertise, driving alignment between Engineering, Product, Customer Success, and Data teamsParticipate actively in discussions with Product Management, shaping what we build and why based on data insights and technical feasibilityBuild and maintain trust with Customer Organization through clear communication of DS capabilities, limitations, and roadmapPresent complex technical work to executive leadership and non-technical stakeholders in ways that drive strategic decisionsOwn the data science roadmap and its evolution in partnership with VP Data, DS Leads, and Product leadershipSet clear expectations and clearly communicate project statuses to stakeholders throughout the companyFoster a culture of continuous learning through mentorship of junior data scientists and sharing of best practicesBuilding:Design, prototype, and productionize machine learning models to optimize procurement processesBuild and deploy AI systems into the procurement workflow, including robust eval frameworksCollaborate with Data Engineers on ML infrastructure, pipelines, and operations to support model training and deploymentDefine and evolve Data Science processes and practicesKeep a startup mindset: ship early and collect feedback sooner than laterStay up-to-date (and keep the team up to date) on latest techniques and tools in ML AINecessary
Qualifications
6+ years experience in data science or related quantitative fieldStrong expertise in machine learning, statistics, and data modelingProficiency (6+ years experience) in Python and SQLExperience with AWS, Snowflake, dbt or similar cloud data stackProven ability to communicate complex technical concepts to non-technical stakeholders and drive consensus across teams with competing prioritiesTrack record of leading cross-functional initiatives with measurable organizational impact beyond a single teamBS/MS in Computer Science, Statistics, Applied Math or related fieldIdeal
Qualifications
Demonstrated ability to mentor and elevate technical talent across teams, not just direct reportsPhD in quantitative fieldExperience applying ML to procurement/supply chain dataKnowledge of game theory and mechanism designTechnologies and tools we useData Motion: Snowflake, dbt, Pinecone, OneSchemaML and DS: Python, pandas, SQLAlchemy, PydanticWorkflow and Deployment: Github, AWS, Datadog, Code ClimateDocumentation and coordination: Jira, Confluence, Slack, Fellow, Lattice, Google WorkspacePay Range$190,000—$220,000 USDArkestro 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 equityMedical, Dental, Vision insurance premiums covered up to 100% (employee only)401K discretionary matchingUnlimited PTOA remote-first team with regular opportunities to get together in person for team building, design sprints, and customer visitsAnnual budget of $1,000 for learning and professional developmentDiverse, inclusive, highly collaborative, and vibrant cultureArkestro is an equal opportunity employer that is committed to diversity and inclusion in the workplace.
We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. DisclaimerPlease 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.
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Arkestro United States
