ADP is hiring a Principal Data Scientist (Sales Performance Analytics)

Does the thought of working with one of the most comprehensive employment data sets in the US excite you?

Are you inspired by transformation and making an impact on the lives of millions of people every day?

Are you a technologist first and foremost who approaches every problem wearing that hat while going out of your way to champion creativity and build diverse, productive, and engaged teams?

Well, this may be the role for you. Ready to design what's next?

In this role, you'll have access to the most unique and one of the  largest HCM data sets  and do exploratory analysis & build machine learning models. It's more than digits and dials - you're making huge decisions that impact millions of customers.

At ADP, we use data and AI to help stich together the end-to-end customer journey, help uncover buying patterns and identify the next best actions for our sales teams. We are looking for a Data Scientist Leader, who builds advanced analytics and AI models to evaluate these next best actions and correlate AI performance and utilization to improvements in seller effectiveness / productivity.  This role requires Sales and Sales Performance Measurement experience with Sales Analytics strongly desired.

You will work closely with the Data Science team and our Sales Performance partners, you will play a pivotal role in driving performance measurement and strategy  . You’ll collaborate directly with senior executives, ensuring alignment between AI insights and business objectives to enhance sales effectiveness and overall organizational impact. You'll code with machine learning languages like Python (on a platform like Databricks) to synthesize millions of data sets into patterns. You will use SQL, Py-Spark and Pandas to analyze these large datasets and answer specific sales performance questions and how AI recommendations help drive seller productivity. You will also use Tableau and PowerBI for data visualization.

To thrive in this career, you should be well versed in Sales and Sales Performance measurement.  You will be responsible to work with Sales Operations to translate core seller performance metrics to AI measurement KPIs, work with the team to put measurement mechanisms in place, present to senior leadership on AI performance and improvement suggestions and work with other data scientists to build recommendation models that incorporate improvement suggestions and positively influence seller performance. A formal education in quantitative analytics and know design patterns and data structures is a big plus. Given the scale of our data sets and the complex problems we give you to solve, you will stay challenged and engaged with years of exciting projects ahead—all while growing your skills and progressing in a rewarding career.

Like what you see?  Apply now!

Learn more about ADP at tech.adp.com/careers

A little about ADP:  We are a global leader in HR technology, offering the latest AI and machine learning-enhanced payroll, tax, HR, benefits, and much more. We believe our people make all the difference in cultivating an inclusive, down-to-earth culture that welcomes ideas, encourages innovation, and values belonging. ADP has a deep commitment to diversity, equity, and inclusion as a global Best Places to Work, DiversityInc® Top 50 Company, Best CEO and company for women, LGBTQ+, multicultural talent, and more. Learn more about ADP's commitment on our YouTube channel: http://adp.careers/DEI_Videos

WHAT YOU'LL DO:

Here's what you can expect on a typical day:

Model KPI Definition.  You will work with operations and business stakeholders to understand sales performance metrics and how seller productivity is measured. You will then translate those into specific measures / goals for each AI recommendation model (Predictive Analytics, Generative AI etc.), so that we can measure AI model recommendation performance and how to positively influences sales results.

Advanced Analytics & Predictive Modeling.  You bring prior experience to the role of formulating problems, extracting & analyzing data from multiple systems, summarizing critical findings/insights, and developing a compelling visual representation of analysis with actionable insights—this will set you up for success on Day 1. You will use these skills, working with other data engineers and data scientists to build measurement mechanisms including analytic reports, ML models and Tableau/PowerBI Dashboards.

AI Model Performance Measurement.  You will use data and objectively interpret AI model performance and how it correlates to Seller performance. You will present this analysis to senior leadership and work with other data scientist to implement suggested changes that drive positive correlation between model recommendation and sales.

Own and Manage Projects.  You will identify, design, develop, and implement advanced analytical projects. You will implement process to continuously detect model and data drift and remedy to ensure high quality.

Limitless Possibilities.  You will continue learning and discovering new ways to leverage ADP data to create new products and services and find more insights. You are passionate about learning and applying new techniques within data science that leads to innovations.

Collaboration and Communication.  You'll be part of a collaborative team, listening to needs, then finding and sharing solutions. You're comfortable and skilled at presenting to both peers and leadership on your projects and findings.

TO SUCCEED IN THIS ROLE:

Bachelors degree or equivalent

Sales and Sales Performance Measurement; Sales analytics strongly desired

Leadership experience, with an understanding of Data Science

Experience working with business stakeholders to understand sales process, sales performance measurements and sales outcomes and then translate into data science measurement requirements and techniques

Advanced knowledge and prior experience in Python, SQL, distributed computing tools such as Databricks, AWS or other Cloud platforms

Hands on experience using python machine learning libraries like Sklearn, Matplotlib, Seaborn to build machine learning models such as XGBoost, Random Forest, Logistic Regression etc.

Prior experience with model explainability techniques like shapley, lime etc.

Nice to have:

Familiarity Deep Learning, Neural Network or LLM models

Experience with Tableau or other visualization

Experience with ETL tools like Snaplogic, Mulesoft, Informatica and/or Stitch.

Experience of using NoSQL databases to create and query data

Experience working with GenAI

YOU'LL LOVE WORKING HERE BECAUSE YOU CAN:

Have courageous team collaboration.  Courage comes from how associates are willing to have difficult conversations, speak up, be an owner, and challenge one another's ideas to find the best solution.

Deliver at epic scale.  We deliver real user outcomes using strong judgment and good instincts. We're obsessed with the art of achieving simplicity with a focus on client happiness and productivity.

Be surrounded by curious learners.  We align ourselves with other smart people in an environment where we grow and elevate one another to the next level. We encourage our associates to listen, stay agile, and learn from mistakes.

Act like an owner & doer.  Mission-driven and committed to leading change, you will be encouraged to take on any challenge and solve complex problems. No tasks are beneath or too great for us. We are hands-on and willing to master our craft.

Give back to others.  Always do the right thing for our clients and our community and humbly give back to the community where we live and work. Support our associates in times of need through ADP's Philanthropic Foundation.

Join a company committed to equality and equity.  Our goal is to impact lasting change through our actions.

What are you waiting for?  Apply today!

Find out why people come to ADP and why they stay: https://youtu.be/ODb8lxBrxrY

(ADA version: https://youtu.be/IQjUCA8SOoA )

#LI-CZ1

#LI-Hybrid

Diversity, Equity, Inclusion & Equal Employment Opportunity at ADP:  ADP is committed to an inclusive, diverse and equitable workplace, and is further committed to providing equal employment opportunities regardless of any protected characteristic including: race, color, genetic information, creed, national origin, religion, sex, affectional or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, protected veteran status or disability. Hiring decisions are based upon ADP’s operating needs, and applicant merit including, but not limited to, qualifications, experience, ability, availability, cooperation, and job performance.

Ethics at ADP:  ADP has a long, proud history of conducting business with the highest ethical standards and full compliance with all applicable laws. We also expect our people to uphold our values with the highest level of integrity and behave in a manner that fosters an honest and respectful workplace. Click https://jobs.adp.com/life-at-adp/ to learn more about ADP’s culture and our full set of values.

Minimum Requirements:
You'll have a Bachelor's degree or equivalent
Advanced knowledge and prior experience in Python, SQL, distributed computing tools such as Databricks, AWS or other Cloud platforms
Hands on experience using python machine learning libraries like Sklearn, Matplotlib, Seaborn to build machine learning models such as XGBoost, Random Forest, Logistic Regression etc
Prior experience with model explainability techniques like shapley, lime etc
Experience with Tableau or other visualization
Familiarity with Deep Learning, Neural Network or LLM models
Experience with ETL tools like Snaplogic, Mulesoft, Informatica and/or Stitch
Experience of using NoSQL databases to create and query data
Prior experience in working on models in Sales/Marketing domain
Responsibilities   In this role, you'll have access to the most unique and one of the largest HCM data sets and do exploratory analysis & build machine learning models
Every day you'll work with multiple stakeholders to identify, design, develop and implement advanced AI and machine learning projects that stitch together the end-to-end customer journey, help uncover buying patterns and identify the next best action
You'll work with your team to provide, interpret, and predict necessary metrics for decision-making
You'll code with machine learning languages like Python, R, and Scala to synthesize millions of data sets into patterns that answer ad hoc requests and then use Tableau for data visualization
You will coach and mentor junior data scientists with different strengths to solve various problems with different methodologies and analyses
You will work with business stakeholders and leaders to understand and meet business goals and outcomes through design and build of end-to-end data, ML and business rules pipeline
You bring prior experience to the role of formulating problems, extracting & analyzing data from multiple systems, summarizing critical findings/insights, and developing a compelling visual representation of analyses with actionable recommendations—this will set you up for success on Day 1
You will interact with other data scientists, developers, data engineers, UX designers, product managers, and senior executives to understand problem domain, project requirements, users experience and demonstrate model performance and its business value
You will design, architect, implement and deploy high-performing data science pipelines that combine data ingestion/transformation, ML inferences, rules engines and delivery of insights to other systems
You will identify, design, develop, and implement advanced analytical projects
You will implement processes to continuously detect model and data drift and remedy to ensure high quality
You will continue learning and discovering new ways to leverage ADP data to create new products and services and find more insights
You are passionate about learning and applying new techniques within data science that lead to innovations
You'll be part of a collaborative team, listening to needs, then finding and sharing solutions
Some positions may include additional compensation in the form of bonus, equity or commissions
Benefits:  We offer the following benefits: Medical, Dental, Vision, Life Insurance, Matched Retirement Savings, Wellness Program, Short-and Long-Term Disability, Charitable Contribution Match, Holidays, Personal Days & Vacation, Paid Volunteer Time Off, and more.
Compensation:  The compensation for this role is $99,900.00 – $267,570.00 / Year.

#J-18808-Ljbffr

Minimum Requirements:
You'll have a Bachelor's degree or equivalent
Advanced knowledge and prior experience in Python, SQL, distributed computing tools such as Databricks, AWS or other Cloud platforms
Hands on experience using python machine learning libraries like Sklearn, Matplotlib, Seaborn to build machine learning models such as XGBoost, Random Forest, Logistic Regression etc
Prior experience with model explainability techniques like shapley, lime etc
Experience with Tableau or other visualization
Familiarity with Deep Learning, Neural Network or LLM models
Experience with ETL tools like Snaplogic, Mulesoft, Informatica and/or Stitch
Experience of using NoSQL databases to create and query data
Prior experience in working on models in Sales/Marketing domain
Responsibilities In this role, you'll have access to the most unique and one of the largest HCM data sets and do exploratory analysis & build machine learning models
Every day you'll work with multiple stakeholders to identify, design, develop and implement advanced AI and machine learning projects that stitch together the end-to-end customer journey, help uncover buying patterns and identify the next best action
You'll work with your team to provide, interpret, and predict necessary metrics for decision-making
You'll code with machine learning languages like Python, R, and Scala to synthesize millions of data sets into patterns that answer ad hoc requests and then use Tableau for data visualization
You will coach and mentor junior data scientists with different strengths to solve various problems with different methodologies and analyses
You will work with business stakeholders and leaders to understand and meet business goals and outcomes through design and build of end-to-end data, ML and business rules pipeline
You bring prior experience to the role of formulating problems, extracting & analyzing data from multiple systems, summarizing critical findings/insights, and developing a compelling visual representation of analyses with actionable recommendations—this will set you up for success on Day 1
You will interact with other data scientists, developers, data engineers, UX designers, product managers, and senior executives to understand problem domain, project requirements, users experience and demonstrate model performance and its business value
You will design, architect, implement and deploy high-performing data science pipelines that combine data ingestion/transformation, ML inferences, rules engines and delivery of insights to other systems
You will identify, design, develop, and implement advanced analytical projects
You will implement processes to continuously detect model and data drift and remedy to ensure high quality
You will continue learning and discovering new ways to leverage ADP data to create new products and services and find more insights
You are passionate about learning and applying new techniques within data science that lead to innovations
You'll be part of a collaborative team, listening to needs, then finding and sharing solutions
Some positions may include additional compensation in the form of bonus, equity or commissions
Benefits: We offer the following benefits: Medical, Dental, Vision, Life Insurance, Matched Retirement Savings, Wellness Program, Short-and Long-Term Disability, Charitable Contribution Match, Holidays, Personal Days & Vacation, Paid Volunteer Time Off, and more.
Compensation: The compensation for this role is $99,900.00 – $267,570.00 / Year.

#J-18808-Ljbffr

We are looking for someone who is inquisitive and enjoys applying data to address complex questions and tackle new challenges. They must have an appetite to investigate complex issues and to enable team members to do more with data themselves.
Reporting to the Manager of Data Science & Analytics for Capacity, this individual will help evolve our company’s product database to meet ever-changing circumstances, help forecast demand trends, and help develop solutions to a variety of analytic problems. They will help visualize results and help generate KPIs, reports, and dashboards.
Responsibilities
<ul>
<li>Contribute to the evolution of the Product and Capacity databases, and support historical data tracking, forecasting, dashboarding & reporting, metrics, demand analysis across our product lines.</li>
<li>Contribute to the development of data pipeline requirements with product, capacity, and engineering teams to help support new product launches and for evolving product roadmaps.</li>
<li>Collect, join, and maintain data in support of team objectives, while maintaining data quality and integrity and then digest data into consumable metrics for visualization.</li>
<li>Identify concerns and work with your manager and other teams to develop measurements, collect data, and provide resolution to challenging problems.</li>
<li>Incorporate product, hardware, and datacenter constraints into the solutions you produce, to ensure viability of the plans presented to stakeholders.</li>
<li>Gain understanding of various demand streams and product trends when developing forecast predictions that will be actioned by the company.</li>
<li>Perform data analysis by distilling large data sets and to inform business decisions that prioritize operational trade-offs and capital spend.</li>
<li>Contribute to capacity planning models and analytic tools that process relevant data and track capacity performance.</li>
</ul>
Qualifications
<ul>
<li>You have 1-3 years of experience</li>
<li>You excel at wrangling data, and this is your professional passion</li>
<li>You have good SQL skills and understand core principles of database design</li>
<li>You have experience working with Data Warehouses and/or Data Lakes</li>
</ul>
You have working experience with programming languages like Python, R, Julia
<ul>
<li>You are skilled at data visualization and working with BI software (e.g. Looker, Tableau, Power BI, Excel, Plotly, GGplot2, R-shiny, etc)</li>
<li>You are familiar with the basic components of modern cloud computing, including: virtual machines, hypervisors, and computer networking</li>
</ul>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $115,000-$150,000. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.
#J-18808-Ljbffr

CoreWeave is the AI Hyperscaler™, delivering a cloud platform of cutting edge services powering the next wave of AI. The company's technology provides enterprises and leading AI labs with the most performant, efficient and resilient solutions for accelerated computing. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe. CoreWeave was ranked as one of the TIME100 most influential companies of 2024. As the leader in the industry, we thrive in an environment where adaptability and resilience are key. Our culture offers career-defining opportunities for those who excel amid change and challenge. If you're someone who thrives in a dynamic environment, enjoys solving complex problems, and is eager to make a significant impact, CoreWeave is the place for you. Join us, and be part of a team solving some of the most exciting challenges in the industry. CoreWeave powers the creation and delivery of the intelligence that drives innovation. To learn more about our values, please visit our careers website. We are looking for someone who is inquisitive and enjoys applying data to address complex questions and tackle new challenges. They must have an appetite to investigate complex issues and to enable team members to do more with data themselves. Reporting to the Manager of Data Science & Analytics for Capacity, this individual will help evolve our company's product database to meet ever-changing circumstances, help forecast demand trends, and help develop solutions to a variety of analytic problems. They will help visualize results and help generate KPIs, reports, and dashboards. Responsibilities Contribute to the evolution of the Product and Capacity databases, and support historical data tracking, forecasting, dashboarding & reporting, metrics, demand analysis across our product lines.
Contribute to the development of data pipeline requirements with product, capacity, and engineering teams to help support new product launches and for evolving product roadmaps.
Collect, join, and maintain data in support of team objectives, while maintaining data quality and integrity and then digest data into consumable metrics for visualization.
Identify concerns and work with your manager and other teams to develop measurements, collect data, and provide resolution to challenging problems.
Incorporate product, hardware, and datacenter constraints into the solutions you produce, to ensure viability of the plans presented to stakeholders.
Gain understanding of various demand streams and product trends when developing forecast predictions that will be actioned by the company.
Perform data analysis by distilling large data sets and to inform business decisions that prioritize operational trade-offs and capital spend.
Contribute to capacity planning models and analytic tools that process relevant data and track capacity performance.
Qualifications You have 1-3 years of experience
You excel at wrangling data, and this is your professional passion
You have good SQL skills and understand core principles of database design
You have experience working with Data Warehouses and/or Data Lakes
You have working experience with programming languages like Python, R, Julia You are skilled at data visualization and working with BI software (e.g. Looker, Tableau, Power BI, Excel, Plotly, GGplot2, R-shiny, etc)
You are familiar with the basic components of modern cloud computing, including: virtual machines, hypervisors, and computer networking
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $115,000-$150,000. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: Medical, dental, and vision insurance - 100% paid for by CoreWeave
Company-paid Life Insurance
Voluntary supplemental life insurance
Short and long-term disability insurance
Flexible Spending Account
Health Savings Account
Tuition Reimbursement
Mental Wellness Benefits through Spring Health
Family-Forming support provided by Carrot
Paid Parental Leave
Flexible, full-service childcare support with Kinside
401(k) with a generous employer match
Flexible PTO
Catered lunch each day in our office and data center locations
A casual work environment
A work culture focused on innovative disruption Our Workplace At CoreWeave, we are committed to operating as a hybrid workplace, offering employees flexibility in how they structure their time between in-office and remote work. We recognize the significance of fostering connections, collaboration, and creativity within our office culture and its positive impact on our business. Our philosophy operating as a hybrid workplace underscores our dedication to enabling employees to tailor work-life balance to their individual preferences. For those who do not live within 30 miles of one of our offices, we are open to considering remote work for candidates whose skills and experience strongly align with the role. While we prioritize a hybrid work environment for most roles, we understand the importance of flexibility and are open to remote work for specific positions and specialized skill sets. Onboarding is essential to your success. New employees not based out of an office will be invited to attend onboarding training at one of our hubs within their first month of employment. We continue to foster a collaborative environment by bringing teams together quarterly. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.

CoreWeave is the AI Hyperscaler™, delivering a cloud platform of cutting edge services powering the next wave of AI. The company's technology provides enterprises and leading AI labs with the most performant, efficient and resilient solutions for accelerated computing. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe. CoreWeave was ranked as one of the TIME100 most influential companies of 2024.

As the leader in the industry, we thrive in an environment where adaptability and resilience are key. Our culture offers career-defining opportunities for those who excel amid change and challenge. If you're someone who thrives in a dynamic environment, enjoys solving complex problems, and is eager to make a significant impact, CoreWeave is the place for you. Join us, and be part of a team solving some of the most exciting challenges in the industry.

CoreWeave powers the creation and delivery of the intelligence that drives innovation. To learn more about our values, please visit our careers website.

We are looking for someone who is inquisitive and enjoys applying data to address complex questions and tackle new challenges. They must have an appetite to investigate complex issues and to enable team members to do more with data themselves.

Reporting to the Manager of Data Science & Analytics for Capacity, this individual will help evolve our company's product database to meet ever-changing circumstances, help forecast demand trends, and help develop solutions to a variety of analytic problems. They will help visualize results and help generate KPIs, reports, and dashboards.

Responsibilities

Contribute to the evolution of the Product and Capacity databases, and support historical data tracking, forecasting, dashboarding & reporting, metrics, demand analysis across our product lines.
Contribute to the development of data pipeline requirements with product, capacity, and engineering teams to help support new product launches and for evolving product roadmaps.
Collect, join, and maintain data in support of team objectives, while maintaining data quality and integrity and then digest data into consumable metrics for visualization.
Identify concerns and work with your manager and other teams to develop measurements, collect data, and provide resolution to challenging problems.
Incorporate product, hardware, and datacenter constraints into the solutions you produce, to ensure viability of the plans presented to stakeholders.
Gain understanding of various demand streams and product trends when developing forecast predictions that will be actioned by the company.
Perform data analysis by distilling large data sets and to inform business decisions that prioritize operational trade-offs and capital spend.
Contribute to capacity planning models and analytic tools that process relevant data and track capacity performance.
Qualifications     You have 1-3 years of experience
You excel at wrangling data, and this is your professional passion
You have good SQL skills and understand core principles of database design
You have experience working with Data Warehouses and/or Data Lakes
You have working experience with programming languages like Python, R, Julia    You are skilled at data visualization and working with BI software (e.g. Looker, Tableau, Power BI, Excel, Plotly, GGplot2, R-shiny, etc)
You are familiar with the basic components of modern cloud computing, including: virtual machines, hypervisors, and computer networking
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $115,000-$150,000. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.

What We Offer

The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:    Medical, dental, and vision insurance - 100% paid for by CoreWeave
Company-paid Life Insurance
Voluntary supplemental life insurance
Short and long-term disability insurance
Flexible Spending Account
Health Savings Account
Tuition Reimbursement
Mental Wellness Benefits through Spring Health
Family-Forming support provided by Carrot
Paid Parental Leave
Flexible, full-service childcare support with Kinside
401(k) with a generous employer match
Flexible PTO
Catered lunch each day in our office and data center locations
A casual work environment
A work culture focused on innovative disruption

Our Workplace

At CoreWeave, we are committed to operating as a hybrid workplace, offering employees flexibility in how they structure their time between in-office and remote work. We recognize the significance of fostering connections, collaboration, and creativity within our office culture and its positive impact on our business. Our philosophy operating as a hybrid workplace underscores our dedication to enabling employees to tailor work-life balance to their individual preferences.

For those who do not live within 30 miles of one of our offices, we are open to considering remote work for candidates whose skills and experience strongly align with the role. While we prioritize a hybrid work environment for most roles, we understand the importance of flexibility and are open to remote work for specific positions and specialized skill sets. Onboarding is essential to your success. New employees not based out of an office will be invited to attend onboarding training at one of our hubs within their first month of employment. We continue to foster a collaborative environment by bringing teams together quarterly.

California Consumer Privacy Act - California applicants only

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.

CoreWeave is the AI Hyperscaler™, delivering a cloud platform of cutting edge services powering the next wave of AI. The company's technology provides enterprises and leading AI labs with the most performant, efficient and resilient solutions for accelerated computing. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe. CoreWeave was ranked as one of the TIME100 most influential companies of 2024. As the leader in the industry, we thrive in an environment where adaptability and resilience are key. Our culture offers career-defining opportunities for those who excel amid change and challenge. If you're someone who thrives in a dynamic environment, enjoys solving complex problems, and is eager to make a significant impact, CoreWeave is the place for you. Join us, and be part of a team solving some of the most exciting challenges in the industry. CoreWeave powers the creation and delivery of the intelligence that drives innovation. To learn more about our values, please visit our careers website. We are looking for someone who is inquisitive and enjoys applying data to address complex questions and tackle new challenges. They must have an appetite to investigate complex issues and to enable team members to do more with data themselves. Reporting to the Manager of Data Science & Analytics for Capacity, this individual will help evolve our company's product database to meet ever-changing circumstances, help forecast demand trends, and help develop solutions to a variety of analytic problems. They will help visualize results and help generate KPIs, reports, and dashboards. Responsibilities <ul> <li>Contribute to the evolution of the Product and Capacity databases, and support historical data tracking, forecasting, dashboarding & reporting, metrics, demand analysis across our product lines. </li><li>Contribute to the development of data pipeline requirements with product, capacity, and engineering teams to help support new product launches and for evolving product roadmaps. </li><li>Collect, join, and maintain data in support of team objectives, while maintaining data quality and integrity and then digest data into consumable metrics for visualization. </li><li>Identify concerns and work with your manager and other teams to develop measurements, collect data, and provide resolution to challenging problems. </li><li>Incorporate product, hardware, and datacenter constraints into the solutions you produce, to ensure viability of the plans presented to stakeholders. </li><li>Gain understanding of various demand streams and product trends when developing forecast predictions that will be actioned by the company. </li><li>Perform data analysis by distilling large data sets and to inform business decisions that prioritize operational trade-offs and capital spend. </li><li>Contribute to capacity planning models and analytic tools that process relevant data and track capacity performance. </li></ul>Qualifications <ul> <li>You have 1-3 years of experience </li><li>You excel at wrangling data, and this is your professional passion </li><li>You have good SQL skills and understand core principles of database design </li><li>You have experience working with Data Warehouses and/or Data Lakes </li></ul>You have working experience with programming languages like Python, R, Julia <ul> <li>You are skilled at data visualization and working with BI software (e.g. Looker, Tableau, Power BI, Excel, Plotly, GGplot2, R-shiny, etc) </li><li>You are familiar with the basic components of modern cloud computing, including: virtual machines, hypervisors, and computer networking </li></ul>Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $115,000-$150,000. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: <ul> <li>Medical, dental, and vision insurance - 100% paid for by CoreWeave </li><li>Company-paid Life Insurance </li> <li>Voluntary supplemental life insurance </li> <li>Short and long-term disability insurance </li> <li>Flexible Spending Account </li><li>Tuition Reimbursement </li> <li>Mental Wellness Benefits through Spring Health </li> <li>Family-Forming support provided by Carrot </li><li>Paid Parental Leave </li> <li>Flexible, full-service childcare support with Kinside </li><li>401(k) with a generous employer match </li><li>Flexible PTO </li><li>Catered lunch each day in our office and data center locations </li><li>A casual work environment </li><li>A work culture focused on innovative disruption </li></ul> Our Workplace At CoreWeave, we are committed to operating as a hybrid workplace, offering employees flexibility in how they structure their time between in-office and remote work. We recognize the significance of fostering connections, collaboration, and creativity within our office culture and its positive impact on our business. Our philosophy operating as a hybrid workplace underscores our dedication to enabling employees to tailor work-life balance to their individual preferences. For those who do not live within 30 miles of one of our offices, we are open to considering remote work for candidates whose skills and experience strongly align with the role. While we prioritize a hybrid work environment for most roles, we understand the importance of flexibility and are open to remote work for specific positions and specialized skill sets. Onboarding is essential to your success. New employees not based out of an office will be invited to attend onboarding training at one of our hubs within their first month of employment. We continue to foster a collaborative environment by bringing teams together quarterly. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.

CoreWeave is the AI Hyperscaler™, delivering a cloud platform of cutting edge services powering the next wave of AI. The company's technology provides enterprises and leading AI labs with the most performant, efficient and resilient solutions for accelerated computing. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe. CoreWeave was ranked as one of the TIME100 most influential companies of 2024.

As the leader in the industry, we thrive in an environment where adaptability and resilience are key. Our culture offers career-defining opportunities for those who excel amid change and challenge. If you're someone who thrives in a dynamic environment, enjoys solving complex problems, and is eager to make a significant impact, CoreWeave is the place for you. Join us, and be part of a team solving some of the most exciting challenges in the industry.

CoreWeave powers the creation and delivery of the intelligence that drives innovation. To learn more about our values, please visit our careers website.

We are looking for someone who is inquisitive and enjoys applying data to address complex questions and tackle new challenges. They must have an appetite to investigate complex issues and to enable team members to do more with data themselves.

Reporting to the Manager of Data Science & Analytics for Capacity, this individual will help evolve our company's product database to meet ever-changing circumstances, help forecast demand trends, and help develop solutions to a variety of analytic problems. They will help visualize results and help generate KPIs, reports, and dashboards.

Responsibilities

Contribute to the evolution of the Product and Capacity databases, and support historical data tracking, forecasting, dashboarding & reporting, metrics, demand analysis across our product lines.
Contribute to the development of data pipeline requirements with product, capacity, and engineering teams to help support new product launches and for evolving product roadmaps.
Collect, join, and maintain data in support of team objectives, while maintaining data quality and integrity and then digest data into consumable metrics for visualization.
Identify concerns and work with your manager and other teams to develop measurements, collect data, and provide resolution to challenging problems.
Incorporate product, hardware, and datacenter constraints into the solutions you produce, to ensure viability of the plans presented to stakeholders.
Gain understanding of various demand streams and product trends when developing forecast predictions that will be actioned by the company.
Perform data analysis by distilling large data sets and to inform business decisions that prioritize operational trade-offs and capital spend.
Contribute to capacity planning models and analytic tools that process relevant data and track capacity performance.
Qualifications     You have 1-3 years of experience
You excel at wrangling data, and this is your professional passion
You have good SQL skills and understand core principles of database design
You have experience working with Data Warehouses and/or Data Lakes
You have working experience with programming languages like Python, R, Julia    You are skilled at data visualization and working with BI software (e.g. Looker, Tableau, Power BI, Excel, Plotly, GGplot2, R-shiny, etc)
You are familiar with the basic components of modern cloud computing, including: virtual machines, hypervisors, and computer networking
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $115,000-$150,000. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.

What We Offer

The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:    Medical, dental, and vision insurance - 100% paid for by CoreWeave
Company-paid Life Insurance
Voluntary supplemental life insurance
Short and long-term disability insurance
Flexible Spending Account
Tuition Reimbursement
Mental Wellness Benefits through Spring Health
Family-Forming support provided by Carrot
Paid Parental Leave
Flexible, full-service childcare support with Kinside
401(k) with a generous employer match
Flexible PTO
Catered lunch each day in our office and data center locations
A casual work environment
A work culture focused on innovative disruption

Our Workplace

At CoreWeave, we are committed to operating as a hybrid workplace, offering employees flexibility in how they structure their time between in-office and remote work. We recognize the significance of fostering connections, collaboration, and creativity within our office culture and its positive impact on our business. Our philosophy operating as a hybrid workplace underscores our dedication to enabling employees to tailor work-life balance to their individual preferences.

For those who do not live within 30 miles of one of our offices, we are open to considering remote work for candidates whose skills and experience strongly align with the role. While we prioritize a hybrid work environment for most roles, we understand the importance of flexibility and are open to remote work for specific positions and specialized skill sets. Onboarding is essential to your success. New employees not based out of an office will be invited to attend onboarding training at one of our hubs within their first month of employment. We continue to foster a collaborative environment by bringing teams together quarterly.

California Consumer Privacy Act - California applicants only

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.

We are looking for someone with experience with AWS Client and AI tooling, along with distributed computing tools such as DataBricks, Comprehend, and SageMaker; data visualization. Tools like QuickSight, Kibana and Splunk will give you extra comfort in this role to be successful.

Technical Skills and Requirements

Programming Skills: The data scientist demonstrates proficiency in programming languages such as Python or R. They write efficient and clean code to manipulate, analyze, and visualize data.
Statistical Analysis: The data scientist possesses a strong foundation in statistics, understanding concepts like hypothesis testing, regression analysis, probability theory, and statistical modeling techniques.
Machine Learning: The data scientist is familiar with machine learning algorithms and techniques, understanding supervised and unsupervised learning, feature engineering, model evaluation, and optimization.
Data Manipulation and Cleaning: The data scientist has expertise in handling large datasets, cleaning data, and performing data preprocessing tasks. They use tools like pandas, NumPy, or dplyr to manipulate and transform data effectively.
Data Visualization: The data scientist effectively communicates insights and findings through visual representations. They demonstrate proficiency in data visualization libraries and tools like Matplotlib, Seaborn, or Tableau.
SQL and Databases: The data scientist understands structured query language (SQL) and works with databases proficiently. They extract, manipulate, and analyze data stored in relational databases efficiently.
Big Data Technologies: The data scientist has knowledge of big data technologies like Apache Hadoop, Apache Spark, or distributed computing frameworks. They work with large-scale datasets and leverage distributed computing for data processing.

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