Senior Data Scientist, Cost Prediction Job at Cherry Ventures (Lexington)

Senior Data Scientist, Cost Prediction

Xometry is adding a Senior Data Scientist to our cost prediction team. The ideal...

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 PhD in a related field highly desired
5+ years of experience with machine learning, statistical modeling, and optimization techniques
2+ years of experience in 3D deep learning
Mesh, Volumetric, and/or Point Clouds
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, code deployment
Experience in the manufacturing industry is desired

Job Responsibility

Use data science and machine learning principles to develop effective predictive models using 3D data
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 and MongoDB)
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 - 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

Senior Data Scientist – AI & ML | MLOps Enablement

The Developer Platform Organization’s mission is to accelerate the delivery of r...

Location

United States , Seattle

Salary:

166000.00 - 258000.00 USD / Year

Nordstrom

Expiration Date

Until further notice

Requirements

Bachelor’s, Master’s, or PhD in Statistics, Data Science, Computer Science, Engineering, or a related technical field required
10+ years of hands-on Data Science experience with production model delivery across multiple ML (classification, ranking, NLP, time-series, recommendation) and GenAI models
Deep expertise in model evaluation — defining metrics, thresholds, and evaluation pipelines for real-world production models
Experience with Feature Store design, feature engineering, and understanding of feature freshness, reuse, and drift across different model families
Proficiency in Python with experience writing clean, maintainable, production-quality ML code
Strong understanding of ML monitoring — data drift, prediction drift, and concept drift detection
Experience with experiment tracking and model lifecycle management
Ability to translate between DS practice and platform engineering — comfortable driving design decisions, authoring DS-native documentation, and engaging in technical design reviews
Self-directed
comfortable owning POC work end-to-end without a dedicated DS team structure

Job Responsibility

Run end-to-end POC validation for new platform capabilities — Feature Store, Endpoints, Model Evaluation, AutoML, BigQuery ML etc. — independently, before they reach DS teams at scale
Attend DS team planning and design sessions as an embedded practitioner
surface real workflow pain points and translate them into reusable MLOps platform requirements
Design and own the Model Evaluation Framework — defining metrics, thresholds, and evaluation pipelines for batch, online, and streaming use cases on Vertex AI
Build model-type-aware Feature Store schemas, endpoint configurations, and evaluation pipelines that accommodate the fundamentally different needs of different ML models
Lead benchmarking of Nordstrom’s platform against industry standards — SageMaker vs. Vertex AI — across feature parity, cost, and DS practitioner ergonomics
Author DS-native documentation, onboarding guides, and quickstart notebooks that lower the adoption barrier for new platform features
Contribute DS domain expertise to the emerging Vertex AI Agentic Platform — identifying DS workflow pain points as agent use cases and defining evaluation frameworks for agentic responses
Own model card standards — capturing what actually matters to a practitioner, not just governance checkboxes
Communicate complex trade-offs and platform decisions to technical and non-technical stakeholders across DS, engineering, and leadership

What we offer

Medical/Vision
Dental
Retirement
Paid Time Away
Life Insurance
Disability
Merchandise Discount
EAP Resources
401k
performance-based incentives/bonuses

Fulltime

Senior Data Scientist

We’re looking for someone to help lead the future of growth at Ramp. In this rol...

Location

United States , New York

Salary:

165800.00 - 228050.00 USD / Year

Ramp

Expiration Date

Until further notice

Requirements

Bachelor’s degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields
Minimum of 5 years of industry experience as a Data Scientist
Strong python experience (numpy, pandas, sklearn, etc.) across exploratory data analysis, predictive modeling, and applications of ML techniques to marketing-specific problems
Strong knowledge of SQL (preferably Snowflake, BigQuery, or Redshift)
Proven leadership and a track record of shipping improvements with growth and product organizations
Strong perspective on the marketing experimentation lifecycle (hypothesis generation, experimental design, implementation, statistical analysis, A/B testing best practices)
Deep familiarity with the past, present, and future of marketing attribution, martech, and the modern privacy landscape
Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions

Job Responsibility

Employ statistical, machine learning, and econometric models on large datasets to evaluate channel performance and discern the causal impact of marketing and sales campaigns on a complex and nebulous enterprise sales cycle
Build attribution models and investment frameworks to inform Ramp’s future brand channel investments, allowing Ramp’s finance and marketing teams to scale efficiently and understand which message resonates with each audience segment at each point in the customer journey
Partner closely with Martech, Business Systems, and Growth Engineering teams to augment and leverage data across first and third-party sources, ensuring we’ve added as much context as possible to every decision we make
Drive experimental design and implementation on new channels and surface areas of Ramp, ensuring we can iterate quickly and cost-effectively, especially on marketing spend designed to build awareness, consideration, and brand equity
Contribute to the culture of Ramp’s data team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way

What we offer

100% medical, dental & vision insurance coverage for you
Partially covered for your dependents
One Medical annual membership
401k (including employer match on contributions made while employed by Ramp)
Flexible PTO
Fertility HRA (up to $10,000 per year)
Parental Leave
Unlimited AI token usage
Pet insurance
Centralized home-office equipment ordering for all employees

Fulltime

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Senior Data Scientist, Cost Prediction

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