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Manager, Data Science

Company Description

 

PG Forsta is the leading experience measurement, data analytics, and insights provider for complex industries—a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare –perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.

Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world’s most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.

Our Mission:

We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action. 

Our Values:

To put Human Experience at the heart of organizations so every person can be seen and understood. 

  • Energize the customer relationship: Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions. 
  • Success starts with me: Personal ownership fuels collective success. We each play our part and empower our teammates to do the same. 
  • Commit to learning: Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow. 
  • Dare to innovate: We challenge the status quo with creativity and innovation as our true north. 
  • Better together: We check our egos at the door. We work together, so we win together. 

Job Description

Manager, Data Science
We are seeking a Manager, Data Science with proven leadership skills and a strong technical background in data science methodologies. This role involves leading a team of data scientists to execute key business objectives, mentoring team members, and developing new data analytics products. An ideal candidate for this job would have some experience with healthcare providers or health plans, but that is not required.  The role requires the ability to manage a team of data scientists while also contributing to data science projects.

Duties & Responsibilities

  • Manage and mentor a team of data scientists, fostering a collaborative and inclusive environment.
  • Oversee project execution, ensuring alignment with organizational goals and timely delivery.
  • Guide the team in applying advanced statistical inference, modeling techniques, and measurable performance indicators.
  • Lead the development and deployment of internal applications and data products that drive actionable insights.
  • Guide advanced data integration efforts across multiple sources, using advanced data cleaning, imputation, and validation techniques.
  • Collaborate with stakeholders to define project scopes and manage deliverables effectively.
  • Ensure team focus on high-impact projects, proactively addressing roadblocks and aligning work with the product roadmap.
  • Champion data visualization best practices, using tools like ggplot or Power BI, to create compelling data stories.
  • Provide technical guidance on programming approaches and introduce scalable, repeatable solutions.
  • Contribute to industry Thought Leadership by working closely with departments such as Product, Marketing, and Consulting.

Technical Skills

  • Strong programming skills in Python, R, or similar languages.
  • Proficiency with cloud computing tools (e.g., AWS, Microsoft Azure, Google Cloud).
  • Extensive experience with relational databases (e.g., SQL Server, Oracle) and data manipulation tools.
  • Expertise in statistical techniques, machine learning, and data modeling.
  • Familiarity with data product development and deployment processes.
  • Ability to craft visually appealing and effective data visualizations.
  • Familiarity with agile software development and modern data science tools.

Qualifications

  • Minimum of 5 years Data Science experience in a data-analytic intensive role
  • Experience managing 2 or more Data Scientists is preferred
  • Bachelor’s degree in technology or like field required

Additional Information

Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state or local protected class. 

Pay Transparency Non-Discrimination Notice – Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 

The expected base salary for this position ranges from $120,000 to $160,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.  

All your information will be kept confidential according to EEO guidelines.

Our privacy policy can be found here: https://www.pressganey.com/legal-privacy/ 

Average salary estimate

$140000 / YEARLY (est.)
min
max
$120000K
$160000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Manager, Data Science, Press Ganey

If you are a passionate and experienced Manager, Data Science looking for your next challenge, PG Forsta in Chicago, IL is the place for you! We're on the hunt for a collaborative leader to drive our data science team towards creating innovative analytics products that not only improve business outcomes but enhance the Human Experiences for our clients. In this role, you’ll manage and mentor a talented group of data scientists, encouraging a culture of curiosity and continuous learning. You'll guide them through complex statistical methods and advanced data integration processes while overseeing the execution of high-impact projects that align with our strategic goals. Your expertise in programming—be it in Python, R, or within cloud computing environments—will help you steer the development of actionable insights and data-driven solutions. Collaboration is key, as you'll work harmoniously with stakeholders to define project scopes and share your insights across departments. If you have a knack for storytelling through data visualization using tools like Power BI or ggplot, and a commitment to pushing creative boundaries, we want to hear from you! At PG Forsta, you will not only grow your skills but also mold the careers of the bright minds around you as you contribute to our legacy of excellence. So join us in redefining the potential of data science and making a real impact within various industries, especially in healthcare, and help us lead our clients to success!

Frequently Asked Questions (FAQs) for Manager, Data Science Role at Press Ganey
What are the key responsibilities of the Manager, Data Science at PG Forsta?

The Manager, Data Science at PG Forsta is tasked with managing and mentoring a team of data scientists while overseeing project execution. They ensure that the work aligns with organizational goals and is completed on time. This includes guiding the team in applying statistical techniques, leading the development of data products, and collaborating with stakeholders to manage project scopes effectively.

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What qualifications are needed for the Manager, Data Science role at PG Forsta?

Candidates for the Manager, Data Science role at PG Forsta should have a minimum of 5 years of experience in a data-analytic intensive role, with a preference for those with managerial experience over a team of data scientists. Additionally, a Bachelor’s degree in technology or a related field is required.

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What programming skills are essential for the Manager, Data Science position at PG Forsta?

Strong programming skills in Python or R are essential for the Manager, Data Science at PG Forsta. Proficiency with cloud computing tools and experience in relational databases like SQL Server or Oracle are also important, enabling you to guide your team effectively through various data projects.

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How does the role of Manager, Data Science contribute to PG Forsta's mission?

The Manager, Data Science plays a pivotal role at PG Forsta by transforming data into actionable insights that support the company's mission to empower organizations to deliver the best experiences. Through innovative data products and analytics, this role helps clients navigate their key challenges, ultimately enhancing the human experience.

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What is the typical salary range for the Manager, Data Science at PG Forsta?

The expected base salary for the Manager, Data Science at PG Forsta ranges from $120,000 to $160,000. However, it is important to note that salaries are determined based on various factors including experience, education, and market conditions. In addition to base salary, candidates may also be eligible for a discretionary bonus.

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Common Interview Questions for Manager, Data Science
What management style do you adopt as a Manager, Data Science?

As a Manager, Data Science, I believe in a collaborative approach that fosters open communication and teamwork. I prioritize empowering team members by encouraging their input and facilitating their professional development, which ultimately leads to collective success.

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How do you handle project execution and ensure deadlines are met?

To ensure deadlines are met, I follow an agile project management approach. This involves breaking down projects into manageable tasks, setting clear milestones, and maintaining constant communication with my team to address any roadblocks promptly.

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Can you describe your experience with data visualization tools?

I have extensive experience with data visualization tools, particularly Power BI and ggplot. I leverage these tools to create insightful and visually appealing reports that effectively communicate complex data narratives to non-technical stakeholders.

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What techniques do you use for data cleaning and validation?

For data cleaning and validation, I use advanced techniques such as imputation methods and validation rules to ensure data quality. I also implement automated processes where possible to streamline the workflow and reduce human error.

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How do you stay updated on industry trends in data science?

I stay updated on industry trends by participating in professional development opportunities, including webinars and conferences, as well as engaging with online communities. I also read relevant literature and publications to keep abreast of new methodologies and technologies.

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Describe a challenging project you've managed and how you overcame obstacles.

In a previous role, I managed a project that faced unexpected data integration issues. We overcame these obstacles by devising a structured troubleshooting approach, collaborating closely with the data engineering team, and implementing incremental resolutions to get back on track.

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What role does collaboration play in your work as a Manager, Data Science?

Collaboration is integral to my role. It fosters a team-oriented environment and allows diverse perspectives to influence the project outcomes. I encourage collaboration both within my team and across departments to ensure our data initiatives are aligned with the broader business strategy.

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How do you measure the success of a data science project?

I measure project success through defined KPIs that align with business objectives. This includes assessing the accuracy of outcomes, stakeholder satisfaction, and the tangible impact the project has on improving operations or driving revenue.

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What programming languages and tools do you find most beneficial in this role?

I find Python and R to be the most beneficial programming languages for data science due to their extensive libraries and community support. Additionally, cloud platforms like AWS and Google Cloud enhance our capabilities for storing and processing large datasets.

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Can you explain your approach to mentoring your data science team?

My mentoring approach focuses on hands-on guidance and constructive feedback. I emphasize skill development through real projects and encourage team members to present their ideas, fostering their growth and confidence in their abilities.

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Our mission is to reduce patient suffering by supporting the delivery of safe, high-quality, patient-centered care.

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Full-time, on-site
DATE POSTED
January 14, 2025

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