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Data Scientist Project Manager Jobs in Delaware (NOW HIRING)

Skills/Requirements: • Minimum ten years of Senior Project Management experience in Life Science preferred • Proven success in the design, implementation, and continuous improvement of a PMO. • ...

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Project Manager Croda is a FTSE100 organization driven around our purpose of Smart Science to Improve Lives™. With over 6,000 employees across 39 countries, we are focused on the research and ...

Manager, Data Science Job no: 503286 College / VP Area: VP Finance & Deputy Treasurer Work type: Staff Location: Newark, DE Categories: Institutional Research & Planning, Full Time Curious about the ...

Manager, Data Science Apply now Job no: 503286 College / VP Area: VP Finance & Deputy Treasurer Work type: Staff Location: Newark, DE Categories: Institutional Research & Planning, Full Time Curious ...

Required Qualifications * 5+ years of progressive project management experience, with at least 3 ... Bachelor's degree in Business, Information Technology, Computer Science, or a related field; Master ...

... science) Graduate's degree preferred with either progressive project work experience, or; * 7+ year ... Manages workload of data science team; assigning data request to staff based on skills and ...

Data Visualization Manager

Wilmington, DE · On-site

$50.25 - $68/hr

You will oversee complex migration projects, manage cross-functional teams, and deliver innovative ... Bachelor's or Master's degree in information technology, Computer Science, or a related field. * 6+ ...

Data Visualization Manager

Wilmington, DE · On-site

$50.25 - $68/hr

You will oversee complex migration projects, manage cross-functional teams, and deliver innovative ... Bachelor's or Master's degree in information technology, Computer Science, or a related field. * 6+ ...

Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and ...

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Data Scientist Project Manager information

Can data scientists make $300k?

Data scientists can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and big data tools, and roles in high-paying industries or senior management positions. Achieving this level often requires a combination of expertise, certifications, and sometimes leadership responsibilities.

What are the key skills and qualifications needed to thrive as a Data Scientist Project Manager, and why are they important?

To thrive as a Data Scientist Project Manager, you need a solid background in data science, analytics, and project management, often supported by degrees in computer science, statistics, or business and certifications like PMP or Agile. Familiarity with tools such as Python, R, SQL, project management software (e.g., Jira, Trello), and cloud platforms is crucial. Excellent communication, leadership, and problem-solving abilities help bridge gaps between technical teams and stakeholders. These skills ensure successful project delivery by aligning data-driven insights with business objectives and effective team coordination.

What is a Data Scientist Project Manager?

A Data Scientist Project Manager is a professional who oversees data science projects from conception through completion, ensuring that project goals align with business objectives. They bridge the gap between data science teams and stakeholders, managing timelines, resources, and communication. In addition to technical knowledge in data science and analytics, they possess strong project management skills to coordinate tasks, mitigate risks, and deliver results. Their role is essential for translating complex data-driven insights into actionable business strategies. They often use methodologies like Agile or Scrum to guide project workflows and adapt to changing requirements.

Can a data scientist become a project manager?

Yes, a data scientist can become a project manager by developing skills in leadership, communication, and project planning. Experience in managing data projects and understanding business goals can facilitate this transition, often supported by certifications like PMP or Agile methodologies.

What is the hottest job of the 21st century?

Data Scientist Project Managers are in high demand due to the growth of data-driven decision making. They combine technical skills in data analysis with project management expertise to lead complex analytics initiatives, often requiring knowledge of tools like Python, R, and cloud platforms. The role is considered one of the most sought-after careers in the 21st century for its impact and versatility.

What is the difference between Data Scientist Project Manager vs Data Analyst Project Manager?

AspectData Scientist Project ManagerData Analyst Project Manager
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related fields; certifications like PMP or AgileBachelor's in Data Analysis, Business, or related fields; certifications like PMP or Agile
Work EnvironmentLeads data science projects, collaborates with data scientists and engineersManages data analysis projects, works with analysts and business teams
Employer & Industry UsageTech companies, finance, healthcare, industries with advanced analyticsRetail, marketing, finance, industries relying on data reporting

The main difference is that Data Scientist Project Managers oversee data science initiatives involving complex modeling and algorithms, while Data Analyst Project Managers focus on managing data reporting and analysis projects. Both roles require project management skills and relevant certifications, but their technical focus and team collaboration differ.

How do Data Scientist Project Managers typically balance technical data work with project management responsibilities?

Data Scientist Project Managers often split their time between hands-on data analysis and overseeing project progress. They commonly coordinate with cross-functional teams, set project timelines, and ensure that data solutions align with business objectives while occasionally contributing code or analytical insights. Effective communication and time management are essential, as they must bridge the gap between technical teams and stakeholders. This dual responsibility offers exposure to both technical growth and leadership development, making it ideal for professionals seeking advancement into higher management roles.

Is 40 too late for data science?

For a Data Scientist Project Manager, starting a career in data science at age 40 is feasible, as the field values skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant certifications, programming skills, and domain knowledge, making age less of a barrier than skill set and adaptability.
What are popular job titles related to Data Scientist Project Manager jobs in Delaware? For Data Scientist Project Manager jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Data Scientist Project Manager jobs in Delaware look for? The top searched job categories for Data Scientist Project Manager jobs in Delaware are:
What cities in Delaware are hiring for Data Scientist Project Manager jobs? Cities in Delaware with the most Data Scientist Project Manager job openings:
Data Scientist Lead

Data Scientist Lead

JPMorgan Chase & Co

Wilmington, DE • On-site

Full-time

Medical, Retirement

Posted 29 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 486 frontline employees who took The Breakroom Quiz

54th of 144 rated banks


Job description

This is a unique opportunity to have meaningful impact on a large scale at a leading financial services firm!!

You'll need to be a strategic, analytical thinker with enough networking skills to become a trusted advisor and thought leader in the marketing space. Along with leveraging your proficiency with modern data science and analytics tools (including the AI suites that can boost your productivity), you'll clearly and concisely articulate data needs, analytical findings, and process improvements in a way that senior leadership finds persuasive.

Job responsibilities

Joining our team means you sit in the engine that powers Chase with insights, inspires customer-centric innovation, and answers critical questions around our marketing. Working here means joining a collaborative, supportive team. We want your diverse perspective to help us innovate the next wave of analytical products and solutions for our business.

You'll be working with marketing analytics teams across the organization to ensure that the entire firm can effectively and efficiently measure our marketing. This will involve:

  • Taking a leading role with peer analytics teams to understand and influence how marketing measures results (datasets, process, and methods)
  • Designing and prototyping key datasets that enable better measurement, including creating the business case and ensuring data quality.
  • Developing and promoting a deep understanding of how AI can streamline and enrich our measurement.
  • Working closely with peers to ensure the quality of your own work as well as the team's.

Required qualifications, capabilities and skills

  • Undergraduate or advanced degree in analytical field (e.g., Computer Science, Economics, Mathematics, Statistics, Engineering, Operations Research, Physics), data bootcamp certification, or industry experience in analytical roles (e.g., consulting, modeling, data analysis).
  • 6 + years of experience with modern data science tools (ex: SQL, AWS, Python), current AI tools (ex: Copilot, Claude), and familiarity with quantitative techniques (ex: regression analysis) - with an appetite for updating this list as new technologies and techniques arrive.
  • Expertise in the scientific method, able to frame a non-technical question as a testable hypothesis and articulate what can or cannot be statistically proven with current or potential data.
  • Able to address business challenges with practical and consultative solutions.
  • Attention to detail, able to spot and correct potential flaws in a dataset or analysis.
  • Strong work management skills, able to keep several projects on track simultaneously and persuasively communicate value of work to senior leaders.

Preferred qualifications, capabilities and skills

  • Financial services background.
  • Experience at a top tier analytics consulting firm is a benefit.
  • MBA or other master's degree in a quantitative field.

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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