Senior Data Scientist, Costing Job at Cherry Ventures (Lexington)

Senior Data Scientist, Costing

Xometry is seeking a Senior Data Scientist to our sourcing team. The ideal candi...

Location

United States , Waltham

Salary:

140000.00 - 182000.00 USD / Year

Cherry Ventures

Expiration Date

Until further notice

Requirements

Bachelor’s degree required
degree in applied math, computer science, natural sciences or engineering preferred
M.S. or Ph.D. in a related field highly desired
5+ years of experience with machine learning, statistical modeling, and optimization techniques
Fluent in Python (pandas, numpy, SciPy, and scikit-learn preferred)
Proficient in linear algebra and statistics
Familiar with scientific software principals, e.g. versioning systems, reproducibility
Experience in the manufacturing industry is desired
Must be a US Citizen or Green Card holder (ITAR)

Job Responsibility

Use data science and machine learning principles to develop effective predictive models
Write software to prepare, clean, and sample data for use in developing predictive models
Use cloud resources (e.g., Amazon Web Services) to prepare and process data
Query and extract data from databases (Snowflake)
Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and Looker) to inform the business strategy
Relentlessly iterate solutions within a fast-paced environment where ambiguity is the norm
Solve challenging, uncharted problems
Work in an environment that thrives on teamwork and continuous learning opportunities

What we offer

401(k) match
medical, dental and vision insurance
life and disability insurance
generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave
EAP, other wellbeing resources

Fulltime

Senior Data Scientist, Costing

Xometry is seeking a Senior Data Scientist to our sourcing team. The ideal candi...

Location

United States , North Bethesda

Salary:

140000.00 - 182000.00 USD / Year

Cherry Ventures

Expiration Date

Until further notice

Requirements

Bachelor’s degree required
degree in applied math, computer science, natural sciences or engineering preferred
M.S. or Ph.D. in a related field highly desired
5+ years of experience with machine learning, statistical modeling, and optimization techniques
Fluent in Python (pandas, numpy, SciPy, and scikit-learn preferred)
Proficient in linear algebra and statistics
Familiar with scientific software principals, e.g. versioning systems, reproducibility
Experience in the manufacturing industry is desired
Must be a US Citizen or Green Card holder (ITAR)

Job Responsibility

Use data science and machine learning principles to develop effective predictive models
Write software to prepare, clean, and sample data for use in developing predictive models
Use cloud resources (e.g., Amazon Web Services) to prepare and process data
Query and extract data from databases (Snowflake)
Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and Looker) to inform the business strategy
Relentlessly iterate solutions within a fast-paced environment where ambiguity is the norm
Solve challenging, uncharted problems
Work in an environment that thrives on teamwork and continuous learning opportunities

What we offer

401(k) match
medical, dental and vision insurance
life and disability insurance
generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave
EAP, other wellbeing resources

Fulltime

Senior Data Scientist - Agentic Systems

The Global Marketing Engines and Experiences (E&E) team within Microsoft is resp...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience

Job Responsibility

AI-Native Operations
Design, build, and ship agentic capabilities that make the analytics team more AI-native, including co-PM agents that triage incoming work, monitor data science workstreams in Azure DevOps, and propose ticket updates that keep our backlog accurate without manual hygiene effort
Build PM-layer agents that read across the Azure Dev Ops (ADO) portfolio to surface risk, estimate effort on new requests, and recommend project plans that managers can adapt rather than write from scratch
Establish shared infrastructure and patterns — prompting, evaluation, orchestration, observability, guardrails — that let the rest of the team build downstream agents reliably
Analyst Delivery Acceleration
Develop LLM-powered internal tools and skills that compress the cycle from analytics request to delivered insight, including capabilities that draft, format, and pressure-test the standard inputs analysts produce for MBR, MMR, and leadership review rhythms
Identify the highest-friction parts of the analyst delivery flow and design generative AI interventions that remove rather than relocate the work
Partner with the analytics team to instrument adoption, measure time saved, and iterate based on real usage rather than projected value
Marketer-Facing Capabilities
Lead the design and delivery of marketer-facing generative AI capabilities, anchored by a conversational analytics agent that allows marketers across Brand, Product Marketing Management (PMM), Customer Insights, and demand generation to self-serve on the analytics questions they bring to the team today

What we offer

Eligible for benefits and other compensation

Fulltime

Senior Data Scientist - Optimization

NTT DATA is seeking a client-facing senior level Data Scientist with deep expert...

Location

United States , Remote

Salary:

144975.00 - 241265.00 USD / Year

NTT DATA

Expiration Date

Until further notice

Requirements

7+ years of experience supporting data science projects in a consulting or professional services environment
7+ years of experience across one or more of the following areas: Predictive Analytics, Data Design, Statistics, AI / Machine Learning, MLOps
2+ years of hands-on experience in Operations Research, Optimization, and Mathematical Modeling
3+ years of experience using Python, R, and/or C# to analyze disparate datasets and develop analytical solutions
Ability to travel up to 25%

Job Responsibility

Lead and deliver client-facing data science and optimization engagements, ensuring high satisfaction and measurable business outcomes
Define project objectives, scope, timelines, and success metrics in collaboration with client stakeholders and internal teams
Establish and maintain strong executive-level client relationships, gaining a deep understanding of business challenges and operational constraints
Communicate complex mathematical, optimization, and technical concepts clearly and credibly to non-technical and senior audiences
Prepare and deliver executive-ready updates, insights, and recommendations, including sensitivity analyses and scenario-based findings
Conduct market research, develop informed perspectives, and communicate thought leadership to clients and internal stakeholders
Lead the design, formulation, and delivery of operations research and optimization models for large, complex enterprises
Translate ambiguous business problems into rigorous mathematical formulations and scalable optimization solutions
Develop and refine models across domains such as: Resource allocation, Scheduling and workforce optimization, Cost and network optimization, Vehicle routing, Strategic planning (e.g., facility opening/closing, multi-period network modeling)
Apply deep expertise in optimization solvers (e.g., Gurobi preferred, CPLEX or similar) to deliver robust, production-ready solutions

Fulltime

Senior Data Scientist, Integrated Supply Chain

Baxter Healthcare Corporation offers an outstanding chance to create a real diff...

Location

Canada , Mississauga

Salary:

125440.00 - 172480.00 USD / Year

Baxter

Expiration Date

Until further notice

Requirements

Bachelor’s degree in math, statistics, engineering, or a related STEM field, or equivalent experience
Demonstrated excellent leadership, interpersonal, and critical thinking skills
APICs desirable, with a minimum of 5 years related experience in supply chain or equivalent analytical experience
Proven track record working in cross-functional product/engineering environments
Minimum 5 years experience in supply chain, or equivalent analytical experience
Executive storytelling
ability to translate technical results into decisions and outcomes
Experience/Certifications in analytics tools and frameworks like Python, SQL, Power BI, Tableau, Power Queries, Smartsheets, etc.
Experience in at least two or more relevant domains (pricing, contracting, demand forecasting, supply-chain optimization, commercial analytics, patient/customer experience)
Demonstrated ability to influence decision-making in a cross-functional environment using financial/technical assessments and soft skills

Job Responsibility

Find opportunities for using company data to drive innovative and scalable machine learning solutions that address complex business challenges
Develop and implement strategies to improve operational efficiency, automate decision-making, improve customer outcomes, and optimize prioritisation through key insights that enable decision-making
Apply advanced analytics to evaluate organizational performance, simulate potential impacts of strategic changes, and support initiatives across domains such as predictive modeling, forecasting, classification, and recommendation systems
Develop custom machine learning models and algorithms tailored to business needs, applying these models to large datasets to generate actionable insights and support strategic decision-making
Collaborate with cross-functional teams to deploy, monitor, and maintain ML models in production environments, ensuring scalability, reliability, and compliance with enterprise standards
Build and maintain scalable data infrastructure to support both real-time and batch decisioning, bringing to bear cloud-native tools and platforms to optimize performance and cost
Engage with business collaborators to translate requirements into technical solutions, providing thought leadership and mentorship on analytical approaches and data strategy
Ensure robust model governance, documentation, and performance benchmarking while maintaining compliance with Responsible AI and data privacy standards
Establish and maintain business insight communication flows for different levels of the organization

What we offer

Paid time off
Employee health and wellness benefits
Continuing education/Professional development
Parental support
Employee assistance program

Fulltime

Senior Data Scientist, Integrated Supply Chain

This is where your work makes a difference. At Baxter, we believe every person—r...

Location

Canada , Mississauga

Salary:

125440.00 - 172480.00 USD / Year

Baxter

Expiration Date

Until further notice

Requirements

Bachelor's degree in math, statistics, engineering, or a related STEM field, or equivalent experience.
Demonstrated excellent leadership, interpersonal, and critical thinking skills.
APICs desirable, with a minimum of 5 years related experience in supply chain or equivalent analytical experience.
Proven track record working in cross-functional product/engineering environments.
Minimum 5 years experience in supply chain, or equivalent analytical experience
Executive storytelling
ability to translate technical results into decisions and outcomes.
Experience/Certifications in analytics tools and frameworks like Python, SQL, Power BI, Tableau, Power Queries, Smartsheets, etc.
Experience in at least two or more relevant domains (pricing, contracting, demand forecasting, supply-chain optimization, commercial analytics, patient/customer experience).
Demonstrated ability to influence decision-making in a cross-functional environment using financial/technical assessments and soft skills.

Job Responsibility

Find opportunities for using company data to drive innovative and scalable machine learning solutions that address complex business challenges.
Develop and implement strategies to improve operational efficiency, automate decision-making, improve customer outcomes, and optimize prioritisation through key insights that enable decision-making.
Apply advanced analytics to evaluate organizational performance, simulate potential impacts of strategic changes, and support initiatives across domains such as predictive modeling, forecasting, classification, and recommendation systems.
Develop custom machine learning models and algorithms tailored to business needs, applying these models to large datasets to generate actionable insights and support strategic decision-making.
Collaborate with cross-functional teams to deploy, monitor, and maintain ML models in production environments, ensuring scalability, reliability, and compliance with enterprise standards.
Build and maintain scalable data infrastructure to support both real-time and batch decisioning, bringing to bear cloud-native tools and platforms to optimize performance and cost.
Engage with business collaborators to translate requirements into technical solutions, providing thought leadership and mentorship on analytical approaches and data strategy.
Ensure robust model governance, documentation, and performance benchmarking while maintaining compliance with Responsible AI and data privacy standards.
Establish and maintain business insight communication flows for different levels of the organization.

What we offer

Paid Time Off
Employee Heath & Well-Being Benefits
Continuing Education/ Professional Development
Support for Parents
Employee Assistance Program

Fulltime

Senior Data Scientist, Integrated Supply Chain

As a Senior Data Scientist in our Coordinated Supply Chain group, you will lead ...

Location

Canada , Mississauga

Salary:

125440.00 - 172480.00 USD / Year

Baxter

Expiration Date

Until further notice

Requirements

Bachelor's degree in math, statistics, engineering, or a related STEM field, or equivalent experience
Demonstrated excellent leadership, interpersonal, and critical thinking skills
APICs desirable, with a minimum of 5 years related experience in supply chain or equivalent analytical experience
Proven track record working in cross-functional product/engineering environments
Minimum 5 years experience in supply chain, or equivalent analytical experience
Executive storytelling
ability to translate technical results into decisions and outcomes
Experience/Certifications in analytics tools and frameworks like Python, SQL, Power BI, Tableau, Power Queries, Smartsheets, etc.
Experience in at least two or more relevant domains (pricing, contracting, demand forecasting, supply-chain optimization, commercial analytics, patient/customer experience)
Demonstrated ability to influence decision-making in a cross-functional environment using financial/technical assessments and soft skills

Job Responsibility

Find opportunities for using company data to drive innovative and scalable machine learning solutions that address complex business challenges
Develop and implement strategies to improve operational efficiency, automate decision-making, improve customer outcomes, and optimize prioritisation through key insights that enable decision-making
Apply advanced analytics to evaluate organizational performance, simulate potential impacts of strategic changes, and support initiatives across domains such as predictive modeling, forecasting, classification, and recommendation systems
Develop custom machine learning models and algorithms tailored to business needs, applying these models to large datasets to generate actionable insights and support strategic decision-making
Collaborate with cross-functional teams to deploy, monitor, and maintain ML models in production environments, ensuring scalability, reliability, and compliance with enterprise standards
Build and maintain scalable data infrastructure to support both real-time and batch decisioning, bringing to bear cloud-native tools and platforms to optimize performance and cost
Engage with business collaborators to translate requirements into technical solutions, providing thought leadership and mentorship on analytical approaches and data strategy
Ensure robust model governance, documentation, and performance benchmarking while maintaining compliance with Responsible AI and data privacy standards
Establish and maintain business insight communication flows for different levels of the organization

What we offer

Paid Time Off
Employee Heath & Well-Being Benefits
Continuing Education/ Professional Development
Support for Parents
Employee Assistance Program

Fulltime

Senior Data Scientist, Integrated Supply Chain

This is where we value your strategic mindset, technical expertise and passion f...

Location

Canada , Mississauga

Salary:

125440.00 - 172480.00 USD / Year

Baxter

Expiration Date

Until further notice

Requirements

Bachelor's degree in math, statistics, engineering, or a related STEM field, or equivalent experience
Demonstrated excellent leadership, interpersonal, and critical thinking skills
APICs desirable, with a minimum of 5 years related experience in supply chain or equivalent analytical experience
Proven track record working in cross-functional product/engineering environments
Minimum 5 years experience in supply chain, or equivalent analytical experience
Executive storytelling
ability to translate technical results into decisions and outcomes
Experience/Certifications in analytics tools and frameworks like Python, SQL, Power BI, Tableau, Power Queries, Smartsheets, etc.
Experience in at least two or more relevant domains (pricing, contracting, demand forecasting, supply-chain optimization, commercial analytics, patient/customer experience)
Demonstrated ability to influence decision-making in a cross-functional environment using financial/technical assessments and soft skills

Job Responsibility

Find opportunities for using company data to drive innovative and scalable machine learning solutions that address complex business challenges
Develop and implement strategies to improve operational efficiency, automate decision-making, improve customer outcomes, and optimize prioritisation through key insights that enable decision-making
Apply advanced analytics to evaluate organizational performance, simulate potential impacts of strategic changes, and support initiatives across domains such as predictive modeling, forecasting, classification, and recommendation systems
Develop custom machine learning models and algorithms tailored to business needs, applying these models to large datasets to generate actionable insights and support strategic decision-making
Collaborate with cross-functional teams to deploy, monitor, and maintain ML models in production environments, ensuring scalability, reliability, and compliance with enterprise standards
Build and maintain scalable data infrastructure to support both real-time and batch decisioning, bringing to bear cloud-native tools and platforms to optimize performance and cost
Engage with business collaborators to translate requirements into technical solutions, providing thought leadership and mentorship on analytical approaches and data strategy
Ensure robust model governance, documentation, and performance benchmarking while maintaining compliance with Responsible AI and data privacy standards
Establish and maintain business insight communication flows for different levels of the organization

What we offer

Paid Time Off
Employee Heath & Well-Being Benefits
Continuing Education/ Professional Development
Support for Parents
Employee Assistance Program

Fulltime

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