Data Scientist II

Posted Yesterday
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Iowa City, IA, USA
In-Office
95K-105K Annually
Mid level
Edtech • Other
The Role
Develop and evaluate machine-learning, statistical, and generative AI models for personalized college, career, and pathway recommendations. Analyze experiments and student data, define product metrics, build scalable pipelines, and move models into production. The role emphasizes responsible AI, fairness, transparency, privacy, explainability, and collaboration with product, engineering, research, design, and business teams.
Summary Generated by Built In

At ACT, Your Work Makes a Difference

Education has power – a power that changes lives forever. It creates opportunities that lift up individuals, their families, and sparks societal change that echoes through generations to come. From our grassroots we have fought the good fight for equity in education, and we remain devoted to helping anyone who struggles to access that power. This is what matters to us and we must do better -- we’ve never been more sure of our purpose.

ACT team members are part of an organization dedicated to a mission that has never been more important: Helping people achieve education and workplace success. Advancing that mission within our organization, by helping our team members achieve education and workplace success of their own, is core to our values. ACT values a diverse workplace and is committed to fostering an inclusive, equitable environment in which every team member has an opportunity to grow.

We want our team members to have the well-being and confidence they need to do their best work, in an environment where both they and ACT thrive. To support this, our total rewards include company paid life insurance, medical, dental, vision, flexible health and dependent spending accounts, 401(k) retirement savings with company match, paid holidays, paid time off, and so much more. You can find a comprehensive list of our benefits here.

We are seeking a Data Scientist II to help us fulfill that mission.

ACT is seeking a Data Scientist II to help build a new pathway navigation experience that helps high school students explore, plan, and take confident next steps toward college and career. This role will design, test, and validate the data models that power personalized college, career, and pathway recommendations. You will work cross-functionally with product, engineering, research, design, and business partners to combine student, education, assessment, interest, skills, and career data into relevant, explainable, and actionable recommendations. You will move quickly from early experimentation to production implementation while ensuring that models are accurate, transparent, fair, and appropriate for use with students and families.

The finalist will be hired at the salary and level commensurate with their qualifications. For this position, we anticipate offering an annual salary in the range of $95,000 to $105,000. ACT manages salaries within the range based on relevant factors including, skills, experience, and internal equity.

Location: This is a remote position, based in the United States.

Visa: Applicants must be authorized to work in the U.S. without the need for visa sponsorship.

Please Note: This is a Fixed Term Position that will last 6 months, with the possibility of an extension or conversion to a fulltime position.

What you will be working on:

Data Science and AI Development:

  • Design, prototype, and evaluate models that generate personalized college, career, and pathway recommendations
  • Apply statistical modeling, machine learning, and generative AI to rapidly test and improve product capabilities
  • Evaluate model performance, fairness, bias, and appropriate use

Product Data and Experimentation:

  • Design data collection strategies that capture student behavior, performance, and engagement while supporting rapid product development
  • Analyze pilot and user-study data and translate findings into actionable product recommendations
  • Define metrics and experiments to evaluate recommendation quality and product impact

Data Architecture and Production:

  • Partner with engineers to build scalable cloud-based data pipelines and move models from prototype into production
  • Integrate data from student, education, assessment, skills, career, and labor-market sources
  • Establish reliable processes for data security, model documentation, deployment, monitoring, and maintenance

Student-Centered Personalization:

  • Develop approaches that produce useful recommendations when student data is incomplete and adapt as new information becomes available
  • Use behavioral and performance data to support personalized and adaptive product experiences
  • Make model outputs understandable and actionable for various stakeholders

Cross-Organizational Collaboration:

  • Collaborate across teams to align data, modeling, research, and product requirements
  • Translate research and business needs into data collection plans and technical solutions
  • Communicate analytical findings, assumptions, risks, and tradeoffs to technical and nontechnical stakeholders

This could be the job for you if you have (minimum requirements):

  • Bachelor’s degree in data science, computer science, statistics, applied mathematics, economics, operations research, or a related quantitative discipline, or equivalent combination of education and experience.
  • At least 3 years of applied data science experience, including building statistical or machine-learning models and analyzing product experiments, pilots, or user studies
  • Proficiency in Python and SQL, with experience developing scalable data pipelines and moving data products or models from prototype toward production

Knowledge, Skills and Abilities:

  • A hands-on, product-oriented data scientist who can move from analysis and rapid prototyping to production implementation
  • Strong in statistical modeling, machine learning, experimental design, and model evaluation
  • Experienced in scalable data pipelines, cloud environments, and integrating complex data sources
  • Skilled at using behavioral and performance data to develop personalized product experiences
  • Thoughtful about responsible AI, including fairness, bias mitigation, transparency, privacy, and appropriate use
  • An effective cross-functional communicator who translates research and business needs into actionable technical solutions

It’s a plus if you have (preferred requirements):

  • Master’s degree in data science or related field
  • Experience with recommender systems, generative AI, natural language processing, or personalized and adaptive systems
  • Experience with education, assessment, career, workforce, labor-market, occupational, or skills data

About ACT

When ACT was founded in 1959, it disrupted the assessment industry with a new approach to helping students better understand their readiness so they could take steps to improve it. By leveraging our expertise and authority in assessment and research, we will again disrupt the industry—helping more people learn, better measure their progress, and improve their navigation through life’s transitions.

More than ever before, ACT is fulfilling its mission of helping people achieve education and workplace success. We’re doing it by pushing the boundaries of learning innovation through the work of our people, who we call team members because we’re all in this together.

We know transformation does not come without challenge. That’s why ACT invests in a variety of experiences for team members to strengthen their connections, explore ideas, learn from customers, and celebrate success.

Learn more about working at ACT at act.org!

ACT is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. ACT participates in E-verify. ACT's online position announcements are intended only to provide general descriptions of employment opportunities; none of the information provided for any position should be interpreted as a commitment by ACT to specific terms and conditions for employment.

Completion of the ACT National Career Readiness Certificate is recommended. Find a testing site near you to register for the WorkKeys assessments. Finalists for this position will be subject to a criminal background check as a condition of employment.

**If you have received an ACT employment-related communication from an email address that is not affiliated with @act.org and/or that requests personal or financial information, please do not reply. Instead, reach out to us at [email protected] with the details. ACT's recruitment team appreciates your interest in working with us to transform college and career readiness pathways for all learners and wishes you the best of luck in your career journey.**

Skills Required

  • Bachelor's degree in data science, computer science, statistics, applied mathematics, economics, operations research, or a related quantitative discipline, or an equivalent combination of education and experience.
  • At least 3 years of applied data science experience, including building statistical or machine-learning models and analyzing product experiments, pilots, or user studies.
  • Proficiency in Python and SQL.
  • Experience developing scalable data pipelines and moving data products or models from prototype toward production.
  • Master's degree in data science or a related field.
  • Experience with recommender systems, generative AI, natural language processing, or personalized and adaptive systems.
  • Experience with education, assessment, career, workforce, labor-market, occupational, or skills data.
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The Company
HQ: Iowa City, IA
3,022 Employees
Year Founded: 1959

What We Do

ACT is a mission-driven, nonprofit organization dedicated to helping people achieve education and workplace success. Grounded in over 60 years of research, ACT is a trusted leader in college and career readiness solutions. Each year, ACT serves millions of students, job seekers, schools, government agencies and employers in the US and around the world with learning resources, assessments, research and credentials designed to help them succeed from elementary school through career.

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