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Manager Public Policy Data Science Jobs in Colorado

The Senior Manager, Data Science leads advanced analytical initiatives to develop, validate, and ... This policy applies to all employees and aims to create a safe and productive work environment.

Following our flexible work policy (3 days in-office, 2 days flexible). The Data Scientist plays a ... Handle additional duties as assigned by management. Job Requirements * Bachelor's degree in a ...

Data Science Engineer

Westminster, CO · On-site

$100K - $140K/yr

... managing false-positive behavior under degraded observations, calibrating confidence metrics ... Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared ...

Following our flexible work policy (3 days in-office, 2 days flexible). The Data Scientist plays a ... Handle additional duties as assigned by management. Job Requirements * Bachelor's degree in a ...

Data Scientist, NA

Denver, CO · On-site

$140 - $150/hr

Following our flexible work policy (3 days in-office, 2 days flexible).**The Data Scientist plays a ... Handle additional duties as assigned by management.**Job Requirements*** Bachelor's degree in a ...

As the Data Science Team Leader, you will be a critical part of our expanding global data ... Excellent stakeholder management is paramount. You will work as a key collaborative partner ...

Data Science Team Leader

Denver, CO · On-site

$155K - $165K/yr

As the Data Science Team Leader, you will be a critical part of our expanding global data ... Excellent stakeholder management is paramount. You will work as a key collaborative partner ...

Data Science Team Leader

Denver, CO · On-site

$155K - $165K/yr

As the Data Science Team Leader, you will be a critical part of our expanding global data ... Excellent stakeholder management is paramount. You will work as a key collaborative partner ...

As the Data Science Team Leader, you will be a critical part of our expanding global data ... Excellent stakeholder management is paramount. You will work as a key collaborative partner ...

Showing results 21-40

Manager Public Policy Data Science information

What is the difference between Manager Public Policy Data Science vs Data Analyst?

AspectManager Public Policy Data ScienceData Analyst
Required CredentialsBachelor's or Master's in Data Science, Public Policy, or related fields; experience in policy analysis and data modelingBachelor's degree in Data Analysis, Statistics, or related fields; proficiency in data tools
Work EnvironmentCollaborates with policy teams, data scientists, and stakeholders to inform policy decisionsAnalyzes data sets, prepares reports, and supports decision-making processes
Employer & Industry UsageGovernment agencies, think tanks, policy organizationsCorporations, research firms, government departments

The Manager Public Policy Data Science role focuses on leading data-driven policy initiatives, requiring strategic oversight and advanced analytics skills. In contrast, Data Analysts primarily perform data collection, analysis, and reporting tasks. While both roles require strong analytical skills, the manager position emphasizes leadership and policy impact, whereas the analyst role is more execution-focused.

What cities in Colorado are hiring for Manager Public Policy Data Science jobs?

Cities in Colorado with the most Manager Public Policy Data Science job openings:

Data Science Graduate

Hewlett Packard Enterprise

Fort Collins, CO • Hybrid

Full-time

Posted 8 days ago


Hewlett Packard Enterprise rating

8.4

Company rating: 8.4 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

35th of 161 rated electronics manufacturers


Job description

Data Science GraduateThis role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.Our culture thrives onfinding new and better ways to accelerate what's next.We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs.We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you.Open up opportunities with HPE.

Job Description:

This requisition may be classified as on desk or hybrid depending on location and role.Job Family Definition:

Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data

into meaningful and actionable information insights that drive decision making. Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights). Embeds analytics into client's business processes and applications. Combines business acumen and scientific methods to solve business problems.

Management Level Definition:

Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters.

Responsibilities:

Participates in the analysis and validation of data sets/solutions/user experience.

Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives. May load data into the infrastructure and contributes to the creation of the hypothesis matrix. Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses.

Contributes to building models for the overall solution, validates results and performance. Contributes to the selection of the model that supports the overall solution.

Supports the research, identification and delivery of data science solutions to problems.

Supports visualization of the model's insights, user experience and configuration tools for the analytics model.

Education and Experience Required:

Bachelors degree in Data Science, Statistics, Operations Research, Computer Science or equivalent.

Typically 0-2 years experience.

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#unitedstates#grads

Job:

Engineering

Job Level:

TCP_01For the Data Analyst position, (undergrad degree candidates): "The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
- United States of America: Annual Salary USD 66,800 - 126,000 in Colorado // 71,700 - 136,300 in Massachusetts // 71,700 - 145,300 in California // 62,900 - 145,300 in Minnesota & North Carolina & Texas & Wisconsin
The listed salary range reflects base salary. Variable incentives may also be offered."
For the Data Scientist position, (master's degree candidates): "The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
- United States of America: Annual Salary USD 85,600 - 163,000 in Colorado // 92,700 - 175,700 in Massachusetts // 92,700 - 187,500 in California // 81,500 - 187,500 in Minnesota & North Carolina & Texas & Wisconsin
The listed salary range reflects base salary. Variable incentives may also be offered."

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

The estimated job application period closure is July 6 2027; this timeline is provided for transparency and internal planning purposes.

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

Recruitment Fraud Alert

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual's own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.


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