Role Description We're hiring a Lead Decision Scientist to be strategic partners embedded with product, engineering, marketing, and finance teams. People who shape what gets built, how we grow, and where we invest. You'll own the analytical narrative for your area and deliver insights that directly change roadmaps and resource allocation. The output is decisions, not dashboards. You'll also help make the AI-native organization a reality, shaping the tools and workflows that let automation take on more so the team can go deeper. This is not a production ML role (we have a dedicated Data Science / MLE team for that). Your primary tools are statistical inference, clear thinking, and the judgment to know which question matters most. You'll report into the Data & Analytics leadership team and work alongside data engineers, data scientists, and ML engineers. For candidates based in the US, the salary range for this position is $133,000 to $195,000 USD. For candidates based out of Canada, the salary range for this position is 147,500 to 173,000 CAD. We take into consideration an individual's background and experience in determining final salary - therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity. Qualifications - 6+ years in an analytics, data science, or decision science role at a consumer tech company - Advanced degree in a quantitative field (economics, statistics, quantitative social science, operations research) or equivalent practical experience - Demonstrated experience with causal inference methods in applied settings (e.g., difference-in-differences, instrumental variables, regression discontinuity, synthetic controls, propensity score matching) - Track record of influencing product or business strategy through data, with specific examples of cross-functional impact - Experience with experimentation platforms (Statsig, Optimizely, or similar) - Proficiency in SQL and Python/R for statistical analysis Requirements - Problem-solving mindset: You structure ambiguous problems precisely before reaching for a tool, AI or otherwise. - Ownership mentality: You take responsibility for your work from framing the question through delivering the recommendation and tracking its impact. - AI-native working style: You use AI tooling (Claude Code or equivalent) as a genuine development partner: delegating discrete tasks, reviewing outputs critically, and running parallel workstreams. - Curiosity and initiative: You don't wait for the roadmap to tell you what to analyze. You dig into data because you're genuinely curious about how things work. Benefits - Competitive pay and benefits. - Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer supplemental plans for medical and dental for Canadian employees. - 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees. - Employee Assistance Program (EAP) for mental wellness. - Flexible PTO and 12 company wide days off throughout the year. - Winter and Summer Weeklong Synchronized Company Shutdowns. - Learning & Development programs. - Equipment, tools, and reimbursement support for a productive remote environment. - Free Life360 Platinum Membership for your preferred circle. - Free Tile Products.

• Lead the Continued Development of the Jobs Engine: Own the architecture, integrity, and continuous expansion of Wonderlic’s AI job analysis system, which ingests labor market data from O*NET, LinkedIn, Indeed, and other sources to extrapolate cognitive complexity ratings, norm groups, and occupational interest profiles for thousands of jobs. • Act as an Expert on AI Implementation Across the Organization: Partner with product managers, engineers, and I-O psychologists to translate scientific requirements into AI-powered systems and ensure those systems meet the standards the work demands. • Drive Scientific Rigor: Apply I-O psychology principles - adverse impact consideration, norm group construction, and evidence-based evaluation standards - to every system you build.

Role Description Eurofins BPT-Columbia is looking for a Scientist I to join our Investigations team in our Biochemistry department located in Columbia, Missouri. This Scientist I is a remote position that focuses on investigations and is an intermediate-level professional position involved in somewhat complex day-to-day activities in a laboratory setting under prescribed processes (protocols, standard operating procedures, methods, etc.). Responsibilities include: - Completing work for research and development under CGMP and/or GLP guidelines for studies, documentation, etc. - Assisting in conducting, monitoring, and reporting studies to ensure data accuracy and report quality. - Providing somewhat complex analytical work on projects and studies using a range of analytical techniques and instruments. - Working with increasing independence on studies and assignments. Qualifications - Practical knowledge of laboratory instrumentation (HPLC, CE-SDS, icIEF, ELISA, cell-based assays, etc.) - Experience with a LIMS system desirable. - Understanding of internal processes for investigational work. - Ability to assess root cause using fishbone or 5 why’s. - Ability to drive CAPAs and Investigations to completion on tight timelines by working across multiple departments. - Attention to detail. - Ability to work on multiple ongoing projects. Requirements - Bachelor’s degree in relevant field such as chemistry, biochemistry, biology, chemical engineering, pharmaceutical sciences, or other directly related field or degree with comparable coursework in the above areas. - 1-3 years of experience working in a cGMP compliant lab. Benefits - Comprehensive medical coverage, dental, and vision options. - Life and disability insurance. - 401(k) with company match. - Paid vacation and holidays.

Title: Assistant Professor, Computer Information Science - IFO (AA27054) Location: MANK - Mankato Job Description: Working Title: Assistant Professor, Computer Information Science - IFO (AA27054) Institution: Minnesota State University, Mankato Classification Title: State University Faculty Bargaining Unit / Union: 209: Inter Faculty Organization City: Mankato FLSA: Job Exempt Full Time / Part Time: Full time Employment Condition: Unclassified - Unlimited Academic Salary Range: $64,963.00 - $188,620.00 Salary Type: Depends on qualifications Application Deadline: Review of applications will begin on May 6, 2026 and continue until the position is filled. Position: Tenure-Track (Probationary*) Job Description The department of Computer Information Science at Minnesota State University, Mankato invites applications for a probationary, Assistant Professor beginning August 17, 2026. This position supports the undergraduate and graduate programs in the Department of Computer Information Science at Minnesota State University, Mankato. Responsibilities include, but are not limited to, teaching undergraduate and graduate courses for the Computer Information Technology, Computer Science, Management Information Systems, Data Science, and Artificial Intelligence programs. Candidates must demonstrate motivation and expertise to support quality teaching, advising, professional development, and funded scholarly activity. The successful candidate will also actively participate in departmental committee work, curriculum design, assessment, and help create innovative strategies for student recruitment, retention, and program completion. - A typical faculty workload responsibility may include up to twenty four (24) credits of instruction per academic year. - The successful candidate may need to teach in other areas as assigned and qualified. - May be expected to develop and deliver face-to-face, hybrid, and on-line instruction at the Mankato campus, online, and/or at the university’s additional locations, as assigned. - The successful candidate will collaborate with colleagues in curriculum design, instruction and evaluation, conduct research productively and mentor students in research, help create innovative strategies for student recruitment, retention, and completion, and may be expected to develop external grant funding opportunities. - All faculty members are expected to engage in scholarly or creative activity or research, in continuing preparation and study, in contributing to student growth and development, and in providing service to the university and community (See Article 22 and Appendix G of the IFO Master Agreement) - The successful candidate may need to teach undergraduate and graduate courses in advanced database, advanced data analytics, computer architecture, cloud computing, information security, network architecture, data engineering, computer vision, deep learning, or natural language processing, or other areas as assigned and qualified. - The successful candidate will demonstrate a commitment to active, applied learning and developing innovative ways to support learning, including project-based teaching pedagogies. - Faculty will be knowledgeable about current industry trends and emerging research. - This position will advise and mentor students, including graduate-level theses and other capstones papers. Minimum Qualifications - Doctoral degree in Computer Science, Computer Information Science, Data Science, Information Technology, Management Information Systems, or a closely related field conferred on an official transcript by the date of appointment. - Demonstrated ability to work effectively with individuals from a wide range of diverse backgrounds and to foster a professional environment that is inclusive, respectful, and equitable for all. Preferred Qualification - Ability to teach a variety of topics at the undergraduate and graduate level in advanced database, advanced data analytics, computer architecture, cloud computing, information security, network architecture, data engineering, computer vision, deep learning, or natural language processing. - Demonstrated commitment to active, applied learning and developing innovative ways to support learning, including project-based teaching pedagogies. - Demonstrated experience fostering an inclusive, equitable, and respectful environment while working effectively with individuals from diverse backgrounds. - Demonstrated success or strong potential for productivity in research, grant writing, creative activity and scholarship. - Ability & willingness to advise and mentor students, including graduate-level thesis and other capstone papers. - Demonstrated effective written, oral communication and presentation skills. Application Procedures: A complete online application will include the following attachments. Incomplete applications will not be reviewed by the search committee. - Cover Letter - Non-Photo Resume/Curriculum Vitae - Contact Information for three (3) references - Unofficial Transcript(s) of your highest completed degree - A brief (no more than one-page) response to the following: Provide a specific example from your professional or academic experience that demonstrates your ability to work effectively with individuals from a wide range of diverse backgrounds. In your response, describe the actions you took to foster an environment that was inclusive, respectful, and equitable for all. What was the outcome, and what did you learn from the experience? - A one (1) page statement of your teaching philosophy, including your experience or familiarity with the use of active learning, project-based learning, and/or experiential learning. - A one (1) page statement of your research/scholarly interests. - Evidence of successful teaching, such as teaching evaluations.