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Job DescriptionSalary: MUSH is a place where driven individuals unlock their highest potential. We believe that change starts within, and as a team, we accomplish extraordinary feats. If you want to build a reputation of doing hard things well, and aspire to make the world a little healthier, MUSH may be a great place for you. Our first product line of ready-to-eat overnight oats pioneers a new category for the breakfast occasion, offering a healthy, satiating, and convenient alternative to traditional morning meals. By making healthy food more accessible, we believe that humankind can feel, think, and do better. Role Description MUSH is seeking a dynamic and open minded teammate to support our Research and Development (R&D) Team at our manufacturing facility in Salt Lake City. The successful candidate has exceptional organization and prioritization skills. General Responsibilities: • Support ongoing and emerging innovation projects, • Contribute to cost-saving initiatives, • Develop methodologies for new analytical tools (e.g., moisture meter, oat-grading sieves), • Support product improvement initiatives, • Build supplier relationships to evaluate new ingredients and technologies, • Troubleshoot production and QA-related issues, • Conduct sensory evaluations to support innovation, quality, and supplier approvals, • Manage formulations and ingredients in Genesis software to ensure accuracy, cost tracking, and efficiency, • Other duties as assigned Experience Requirements: • B.S. Degree (Food Science or Engineering preferred), • Strong proficiency in all MS Office/Google applications, • Problem solving, excellent verbal and oral communication skills, • Ability to manage multiple priorities and consistently meet time sensitive tasks in a fast paced environment, • Previous experience in basic and applied research and development preferably in food or beverage companies preferred., • Strong background in food science, ingredient interaction, and process development. Cultural Expectations: • Set an example. Hold yourself accountable to standards of excellence, • Teammate: know when to follow, know when to lead; always serving others, • Beginners Mind: provide possibilities, options, and solutions, • Communicator: use tact and precision to communicate ideas, issues, and feedback, • Self-Starter: there is no turn-key manual for success, you are helping to build one, • Results Driven: you demand results, but focus on the robust processes that yield them, • Attention to Detail: unwavering discipline with little things that make big differences, • Relationship Builder: customer first mentality with all internal & external counterparts, • Problem Solver: expect the unexpected; be agile & effective in combating issues, • Thrive on Adversity: our goals are lofty and our values are grounded in humility. We bite off more than we can chew and roll our sleeves up when the situation calls for it., • Fun: check the fun box every day. Love what you do & do it well.

Job Description Task Force Talent is seeking data scientists for a very well-funded Series C company working on insider threat and supply chain security problems. Target salary range is 150k to 200k+, plus equity, depending on experience level and location. Please note that although this is a data science position, the company is looking for skill sets much closer to software engineering. This is NOT a role focused on just on statistical analysis or building dashboards. Candidates will have to pass technical interviews similar to software engineering interviews. The company is profitable and growing fast with approximately 150+ employees. Positions are available in Tysons Corner, VA, and Salt Lake City, UT, with a hybrid (typically 3 days/week in the office) schedule; however, those hours are flexible to accommodate family/childcare and traffic as the goal of in-office hours is to know your team better. Benefits • Company Equity Options and 401(k) Plan, • Unlimited PTO and Wellness Reimbursement, • U.S. Holidays, • Paid Parental Leave, • Comprehensive Insurance (Medical, Dental, and Vision) This company is completely private sector, no security clearance required; however, employment is open to U.S. citizens only at this time. Qualifications • MUST be a U.S. citizen (no permanent residents, no visa sponsorship); while no clearance is required, candidates must be clearance-eligible., • AT LEAST 3+ years (ideally 5+ to be most competitive) of experience in data science and/or analytics, • MS or BS in an engineering (preferred) or quantitative field (Science, Economics, Statistics) with a background in programming., • Strong proficiency in Python, SQL, R or comparable languages, • Experience with large-scale data analysis and statistical modeling, • Ability to transform complex data into actionable insights, • Strong project management and prioritization skills, • Experience with Elasticsearch preferred, • Proven ability to work independently and as part of a team, • Strong communication skills for technical and non-technical audiences BONUS: Foreign language fluency, particularly languages associated with threat actors. Interview Process This company typically has a phone screen, followed by a coding exercise, and then several in-person interviews. They usually move fast -- introduction to offer within two to three weeks. About Us Task Force Talent is a specialized recruiting firm for science, engineering, and security careers. Our clients include seed to Series C startups working on AI, cybersecurity, quantum computing, and other novel technologies. We also work with small to medium-sized government contractors, and we help leading venture capital firms find talent for their portfolio companies. We have hundreds of jobs available and consider all applicants for all roles, now and in the future. Our goal is to find the best fit for you! Not your dream job, but perfect for a friend? You can submit a referral and get a check for $2000 or more: (Terms and conditions apply.) If you don't see the perfect fit, simply use our general application at:

Job DescriptionVaro is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. Each member of the Data team plays an integral part of what we are building at Varo. We rely on advanced techniques in machine learning, cloud platforms and big data to drive decisions across the organization. If you are interested in working with an impressive team of Data pros who collaborate and challenge each other, and want to solve interesting problems to propel the company’s growth, apply now!What you'll be doing • Develop custom models and algorithms to apply to large datasets, as well as, processes for monitoring and analyzing their performance, • Mine and analyze data from different resources, and use predictive modeling to increase and optimize customer experiences, customer acquisition, underwriting and other business outcomes, • Assess the effectiveness and accuracy of new data sources and data gathering techniques, • Understand and apply proper risk framework to your analysis and modeling., • Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business decisions, • Collaborate cross functionally to implement models and monitor outcomesYou'll bring the following required skills and experiences, • 7+ years of experience in Analytics, Data Science or Data Engineering as an individual contributor, • An advanced degree in a quantitative field - computer science, engineering, statistics, operations research, economics, etc, • Credit and / or Fraud Risk modeling experience in consumer finance is nice to have, • Strong problem solving skills with an emphasis on translating real-life problems into a concrete model development strategy. Blend academic rigor with a sense of pragmatism for rapidly prototyping and delivering solutions, • Experienced in using Python for analysis and modeling, • Experience applying a wide range of statistical techniques to large data sets, and understanding their real-world advantages/drawbacks, • Experience using web services (AWS, GCP), and distributed data/computing tools (Spark, Map/Reduce, Hadoop, Hive, etc.), • Excellent cross-functional communication skills

Job Description Welcome to DiscGenics, a pioneering, late-clinical stage biopharmaceutical company dedicated to advancing regenerative cell-based therapies for patients suffering from degenerative diseases of the spine. Privately held and passionately driven, our mission is to enhance lives by alleviating pain and restoring function through innovative treatment. At DiscGenics, we are committed to improving the quality of life for individuals debilitated by degenerative diseases of the spine. Our focus lies in developing cutting-edge therapies that offer hope and tangible results, fostering a future where patients can regain mobility and comfort. Our team is characterized by a relentless pursuit of excellence and a nimble approach to addressing challenges. Our core values of Integrity, Innovation, Accuracy, Teamwork, and Stewardship guide everything we do. Join us at DiscGenics and be part of a transformative journey where your contributions have the potential to impact the lives of millions. Together we innovate with purpose and compassion, striving towards a future where pain and limitations of degenerative spine diseases are a thing of the past. Discover more about us at discgenics.com and see how you can contribute to revolutionizing patient care through regenerative therapies. Job Summary: The Senior Scientist, Analytical Sciences is responsible to develop and qualify cell-based analytical methods and evaluate new analytical technologies. Also responsible to author and review method development reports, test methods, SOPs, protocols, supporting the technical review of CMC sections and supporting documents for regulatory filings. Must have industry experience in the development, qualification, and validation of cell bioassays (ELISA, Flow Cytometry, etc.) including experience with scale-up of methods to commercialization. Leads the collection and interpretation of data for biomarker and biological characterization assays including cell-based, multiplexed protein assays, and flow cytometry methods. Will work with manufacturing and quality control to develop tests, as well as analyze and author reports. Prepares technical reports, summaries, protocols and quantitative analyses. This role interacts with all levels of the organization in a collaborative and positive way with colleagues to facilitate department and organizational initiatives for cultural cohesion aligned to the DiscGenics Values. Essential Duties and Responsibilities: • Manage strategic, SME, technical, and scientific development related to biological assays and other critical analytical methods., • Advance and implement cell-based bioassay/potency and immunophenotyping by multi-parametric flow cytometry methods from conception through optimization, qualification, and method transfer to Quality Control and external partners as part of an analytical control strategy and to support Process Development., • Employ quality by design (QbD) and design of experiment (DOE) approaches to method development to quickly identify operating regions within phase-appropriate pre-defined acceptance criteria aimed to meet ICH guidelines., • Work with Process Development, implementing and documenting analytical methods as part of experimental study plans to progress and characterize novel engineered cell therapy platforms., • Work with Quality partners to draft study protocols, qualification reports, change controls, and occasionally perform routine assays as QC personnel for drug product release and characterization., • Write, review, and edit accurate technical and development reports, CMC sections for regulatory submissions, and SOP/maintenance/user requirements for relevant equipment platforms., • Provide technical guidance to junior staff, assign tasks, review data, and strengthen regulatory concepts (cGMP)., • Participate in group and department meetings, present scientific data, and provide expertise in areas of responsibility., • Maintain, calibrate, and operate analytical equipment and instrumentation that is used in the execution of assays., • Author quality records (change controls, deviations, investigations) to implement method changes and/or to investigate non-conformances, OOS/OOT, and CAPA., • Author/contribute to other technical reports, including but not limited to comparability protocols/reports, risk assessments, and justification of specification, etc., • Others duties as required. Job Requirements: • Demonstrated knowledge of Process Development or cellular therapy products and Analytical Method Development within a regulated environment., • Experience with bioassay analytical science methods., • Strong interpersonal, communication (verbal and written), and organizational skills., • Independence and creative problem-solving abilities., • Ability to handle highly confidential business information., • Exceptional time management and multi-tasking skills., • Team leadership skills and team player., • Adheres to and leads with the Company Values of Integrity, Innovation, Accuracy, Teamwork and Stewardship., • Regular and predictable attendance., • Ability to report to work responsive, free from sedatives, and in a non-sedative state., • Advanced degree in biological, biochemical, chemistry, cell-biology, or related field., • 10+ years of relevant industry experience, preferable prior GMP roles for CMC., • Experience with commercial development of pharmaceutical, biological or cell therapy product., • First-hand experience in development and qualification of immunoassays, multi-parameter flow cytometry, and cell-based potency methods for release in a QC/regulated environment., • Must have experience with scale-up to commercialization. Working Conditions: Position requires qualified individuals to see, hear and speak (verbally and audibly). Required to ascend and descend stairs; sit, stand, lift, bend, stoop, crawl and kneel. The employee must also use hands to finger, handle or feel. Occasionally reaching with hands and arms, climbing or balancing are required. May be asked to drive or travel by car, air, or other transportation for business purposes. Must be able to lift and carry up to 20 pounds. Must be able to function effectively with noise in a lab environment. Natural and regular stressors occur on the job. Disclaimer: Please note: DiscGenics reserves the right to change, modify, suspend, interpret, or cancel in whole, or in part, any of the duties outlined above, at any time, and without advance notice to the employee.

Job Description Task Force Talent is seeking senior-level data scientists (multiple openings) for a very well-funded Series B company working on insider threat and supply chain security problems. We have an extremely good relationship with this client and work directly with the CTO, who has started several companies and had multiple successful exits, including an IPO. We have placed quite a few engineers at this firm over the last year, and everyone we have placed is extremely happy. (Even those who did not get an offer were left with very positive impressions.) Target salary range is 120k to 250k+ as well as equity; comp packages depend on experience level and location. (Note: At $170k base salary or above, generally candidates need 5+ years of experience and a very strong interview.) The company is profitable and growing fast with approximately 100+ employees. Positions are available in Tysons Corner, VA, and Salt Lake City, UT. The work environment is hybrid, typically 3 days/week in the office so people know each other, but those hours are flexible to accommodate family/childcare and traffic. The benefits are great and include: • Company Equity Options and 401(k) Plan, • Unlimited PTO and Wellness Reimbursement, • U.S. Holidays, • Paid Parental Leave, • Comprehensive Insurance (Medical, Dental, and Vision) This company is completely private sector, no security clearance required. However, employment is open to U.S. citizens only at this time. If you apply but this company is not a fit, we will consider you for other available positions as well. Not your dream job, but perfect for a friend? You can submit a referral and get a check for $2000 or more: (Terms and conditions apply.) Qualifications • U.S. Citizen, • Any scientific or engineering background with strong software skills and experience, • Comfortable and experienced with coding (Python, SQL, R, etc.), statistical models, and data challenges., • Note: These data science positions have significant coding components. To be competitive in the technical interviews, candidate experience should extend beyond building dashboards., • Experience creating and implementing methods for production processing environment, • Solid teamwork, time management, and collaboration skills, • 5+ years experience, • BONUS: Foreign language fluency, particularly languages associated with threat actors Interview Process This company typically has a phone screen, followed by a take-home coding exercise, and then several in-person interviews. They usually move fast -- introduction to offer within two to three weeks. About us: Task Force Talent is a specialized recruiting firm for science, engineering, and security careers. Our clients include seed to Series B startups working on AI, cybersecurity, quantum computing, and other novel technologies. We also work with small to medium size government contractors, and we help leading venture capital firms find talent for their portfolio companies. We have hundreds of jobs available and consider all applicants for all roles, now and in the future. Our goal is to find the best fit for you! If you don't see the perfect fit, simply use our general application at:

Job DescriptionCompany Description Achieve is a leading digital personal finance company. We help everyday people move from struggling to thriving by providing innovative, personalized financial solutions. By leveraging proprietary data and analytics, our solutions are tailored for each step of our member's financial journey to include personal loans, home equity loans, debt consolidation, financial tools and education. Every day, we get to help our members move their finances forward with care, compassion, and empathetic touch. We put people first and treat them like humans, not account numbers. Job Description We are looking for an experienced, hands-on Credit Risk, Sr. Data Scientist who is comfortable working with large data sets, coding in SQL and Python and gaining insights from the data and translating the results into actionable insights for business stakeholders. In this role, you will maintain and enhance our credit risk models/policies to monitor the portfolio and gain insights. You will also build and monitor credit risk models with an eye on loss forecasting and communicate the results to different teams such as Capital Market and Marketing. The candidate should have a passion for streamlining processes and building tools which can monitor models/portfolio effectively. You will be a key contributor to our risk management processes. Key Responsibilities • Building, maintaining and enhancing credit risk models for lending portfolios., • Extract, clean and manipulate large data sets using SQL and Python; build pipelines and analytics to perform model and portfolio monitoring., • Perform exploratory data analysis (EDA) to identify portfolio trends, drivers of loss performance (vintage, credit bands, borrower attributes, macro factors) and provide insight into model deviations., • Maintain forecast deliverables: monthly/quarterly loss forecasts by vintage and segment, stress and scenario analyses, sensitivity testing., • Provide commentary and insights to business stakeholders on credit policy assumptions, model health, and emerging portfolio risks., • Automate reporting, dashboards and pipelines to streamline model monitoring and improve efficiency and accuracy., • Document model methodologies, assumptions, data sources and results in clear, audit-ready format consistent with risk governance requirements., • Participate in governance and review of credit model methodology, model validation support and liaise with external auditors or regulators where needed., • Continuously identify opportunities to improve credit decisioning accuracy, data infrastructure, modeling techniques, and integrate advanced statistical or machine-learning techniques as appropriate.Qualifications Required: • Minimum of 3 years’ hands-on experience in credit risk modeling and portfolio monitoring. For example, roles in model and performance monitoring, tracking charge-offs, delinquencies, vintage analysis, roll-rates, etc., • Strong programming skills in Python/SQL for data analysis, modeling and automation., • Solid background in Probability & Statistics, • Experience with pricing and price optimization along with analytics and monitoring related to pricing, • Experience with credit risk modeling methodologies: Scorecard models, XGBoost, time-series analysis, vintage modeling, roll-rate curves, survival analysis or logistic regression in consumer credit risk context., • Familiarity with data visualization tools (e.g., Tableau, Python Widgets) or dashboarding, • Strong analytical and critical thinking skills; ability to interpret results, identify trends, draw actionable insights and communicate clearly to non-technical stakeholders., • Excellent documentation skills and experience in preparing audit-ready deliverables (methodologies, assumptions, model validation support)., • Master’s degree in Economics, Statistics, Mathematics, Data Science or a related quantitative discipline (PhD preferred, but not required). Preferred: • Experience in lending (personal loans or credit cards) or fintech lending environment., • Experience with credit risk modeling (development & monitoring), • Experience working with credit decisioning engines such as Oscilar, TakTile etc…, • Experience working in CKLightbox environment, • Experience working in the GCP environment., • A Passion for fintech, agile environment, ability to work both independently and in a collaborative, fast-paced team. Additional Information Achieve well-being with: • Hybrid and remote work opportunities, • 401 (k) with employer match, • Medical, dental, and vision with HSA and FSA options, • Competitive vacation and sick time off, as well as dedicated volunteer days, • Access to wellness support through Employee Assistance Program, Talkspace, and fitness discounts, • Up to $5,250 paid back to you on eligible education expenses, • Pet care discounts for your furry family members, • Financial support in times of hardship with our Achieve Care Fund Work from home/hybrid: We are proudly offering hybrid options in the Phoenix, AZ and San Francisco, CA metro market. We are offering 100% remote work in other approved locations. Salary Range: $150,000 to $185,000 salary + bonus + benefits. This information represents the expected salary range for this role. Should we decide to make an offer for employment, we'll consider your location, experience, and other job-related factors. Join Achieve, change the future. At Achieve, we’re changing millions of lives. From the single parent trying to catch up on bills to the entrepreneur needing a loan for the next phase of growth, you’ll get to be a part of their journey to a better financial future. We’re proud to have over 3,000 employees in mostly hybrid and 100% remote roles across the United States with hubs in Arizona, California, and Texas. We are strategically growing our teams with more remote, work-from-home opportunities every day to better serve our members. A career at Achieve is more than a job—it’s a place where you can make a true impact, have a sense of belonging, establish a fulfilling career, and put your well-being first. Attention Agencies & Search Firms: We do not accept unsolicited candidate resumes or profiles. Please do not reach out to anyone within Achieve to market your services or candidates. All inquiries should be directed to Talent Acquisition only. We reserve the right to hire any candidates sent unsolicited and will not pay any fees without a contract signed by Achieve’s Talent Acquisition leader.

Job Description Immediate Opening: Full Stack Mobile App Developer Location: Sandy, Utah We are a small and innovative technology company committed to utilizing cutting-edge technology to enhance our services and provide an exceptional user experience to our customers. We value responsibility and accountability first and foremost in our operations. If you hold these values to be important in your personal and professional life, we would invite you to consider this position. Selections will potentially be made quickly. If this is of interest to you please apply today. We are seeking a talented and creative individual to join our team as App Developer. The successful candidate will be responsible for developing a social media application along within our current team. As an Applications Developer, you will analyze, develop and deploy innovative information/software systems and capabilities to create a broad use consumer mobile application. Utilizing your education and experience as a Computer Scientist, Software Engineer, or Web Designer and Publisher, you will directly support analysis, and marketing other businesses. The App Developer will participate in a team environment and is responsible for regular reporting on progress. Responsibilities: Using our development stack including React, Next, Ionic React, Node and Postgres, you will be responsible for: • Designing, developing, and maintaining our main mobile application., • Creating visually appealing and user-friendly website alternatives for the mobile application. Also: • Implementing website updates and enhancements to improve user experience and functionality., • Managing Google AdWords campaigns to optimize marketing efforts and drive traffic to our platforms., • Collaborating with cross-functional teams to ensure alignment between design, development, and marketing strategies., • Staying up-to-date with industry trends and best practices to continuously improve our digital presence., • Managing contracted services to produce cost-effective results Required Qualifications: • Minimum 1 or more years experience in React, Postgres, Git, and Restful Services., • Proven experience in mobile app development for iOS and Android platforms., • Solid experience in UI/UX design of web applications., • Proficiency in necessary programming languages., • Excellent communication and collaboration skills., • Ability to work independently and manage multiple projects simultaneously., • Strong back-end design skills and database creation., • Familiar with CI/CD Pipeline. Preferred Qualifications: • Experience with responsive web design and development., • Knowledge of SEO best practices., • Familiarity with web analytics tools such as Google Analytics., • Ability to collaborate in code development with other members seamlessly., • Knowledge of Google AdWords and experience managing PPC campaigns. Compensation: • We are considering entry level to mid-career level individuals. Salary will commensurate with experience and expertise., • Opportunities for professional growth and development in a fast-paced and innovative environment., • We offer paid holidays and paid vacation.

Job Description Job Description Data Scientist Summary/objective We are seeking a highly skilled Data Scientist to focus on building and deploying predictive models that identify customer churn risk and upsell opportunities. This role will play a key part in driving revenue growth and retention strategies by leveraging advanced machine learning, statistical modeling, and large-scale data capabilities within Databricks. Why Join Us? Be at the forefront of using Databricks AI/ML capabilities to solve real-world business challenges. Directly influence customer retention and revenue growth through applied data science. Work in a collaborative environment where experimentation and innovation are encouraged. Core Job Duties: Model Development • Design, develop, and deploy predictive models for customer churn and upsell propensity using Databricks ML capabilities., • Evaluate and compare algorithms (e.g., logistic regression, gradient boosting, random forest, deep learning) to optimize predictive performance., • Build and maintain scalable data pipelines in Databricks (using PySpark, Delta Lake, and MLflow) to enable reliable model training and scoring., • Conduct A/B tests and back testing to validate model effectiveness., • Translate complex analytical outputs into clear recommendations for business stakeholders., • Partner with Product and Customer Success teams to design strategies that reduce churn, increase upsell and improve customer retention KPIs. Minimum Qualifications: • Master's or PhD in Data Science, Statistics, Computer Science, or related field (or equivalent industry experience)., • 3+ years of experience building predictive models in a production environment., • Strong proficiency in Python (pandas, scikit-learn, PySpark) and SQL., • Demonstrated expertise using Databricks for:, • Data manipulation and distributed processing with PySpark., • Building and managing models with MLflow., • Leveraging Delta Lake for efficient data storage and retrieval., • Implementing scalable ML pipelines within Databricks' ML Runtime., • Experience with feature engineering for behavioral and transactional datasets., • Strong understanding of customer lifecycle analytics, including churn modeling and upsell/recommendation systems., • Experience with cloud platforms (Azure Databricks, AWS, or GCP)., • Familiarity with Unity Catalog for data governance and security., • Knowledge of deep learning frameworks (TensorFlow, PyTorch) within Databricks., • Exposure to MLOps best practices (CI/CD for ML, model versioning, monitoring)., • Background in SaaS, subscription-based businesses, or customer analytics. Physical Demands Prolonged periods of sitting at a desk and working on a computer. Must be able to lift up to 15 pounds. Travel Required: Limited Work Authorization: Employees must be legally authorized to work in the United States. FLSA Classification: Exempt Location: Any Effective Date: 9/16/2025 About isolved isolved is a provider of human capital management (HCM) solutions that help organizations recruit, retain and elevate their workforce. More than 195,000 employers and 8 million employees rely on isolved's software and services to streamline human resource (HR) operations and deliver employee experiences that matter. isolved People Cloud™ is a unified yet modular HCM platform with built-in artificial intelligence (AI) and analytics that connects HR, payroll, benefits, and workforce and talent management into a single solution that drives better business outcomes. Through the Sidekick Advantage™, isolved also provides expert guidance, embedded services and an engaged community that empowers People Heroes™ to grow their companies and careers. Learn more at . isolved is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. isolved is a progressive and open-minded meritocracy. If you are smart and good at what you do, come as you are. Visit for more information regarding our incredible culture and focus on our employee experience. Visit for a comprehensive list of our employee total rewards offerings.

Job DescriptionRole: Sr. Data Scientist Location: Sandy, UT (In-Office, Flexible work options available)Reports To: CTO The Senior Data Scientist will be the first and sole Data Scientist in the organization, serving as a foundational member of 401GO’s growing data function. In this role, you will not only lead advanced analytics, modeling, and experimentation efforts, but also help shape the long-term data strategy and infrastructure for the company.As the team and business scale, this role will be responsible for building, hiring, and managing a high-performing data science team. This is an ideal position for someone who thrives in high-growth environments, enjoys solving complex problems, and is excited about owning both hands-on analytics and future leadership responsibilities. What You’ll Be Doing: • Lead the Data Science Program: Architect the long-term data science roadmap, including infrastructure, hiring, processes, and best practices., • Build and mentor a high-performing data science and analytics team as the company grows., • Establish data governance, documentation standards, and model lifecycle management., • AI and Machine Learning Development: Develop and curate high-quality datasets for internal AI tools, ensuring privacy, security, and consistency., • Hands-On Data Science and Analytics: Analyze complex datasets to uncover trends, behaviors, operational bottlenecks, and strategic insights., • Build dashboards, predictive models, and custom analytics to support executive decision-making., • Work closely with Finance to improve forecasting, cost modeling, revenue analytics, and operational reporting., • Cross-Functional Leadership: Collaborate with executives, engineering, operations, customer success, finance, and product to identify data opportunities and drive measurable impact.What You Bring:, • 10+ years of professional data science experience, including senior or lead-level responsibilities., • A willingness to be a “jack of all trades” data scientist, willing to switch between high-level strategy and deep hands-on execution., • Experience creating and managing datasets for AI applications, or a willingness and eagerness to learn., • Experience working with cloud platforms (GCP preferred; BigQuery experience is a plus)., • Experience with BI tools (Looker, Tableau, Metabase, etc.)., • Proven ability to build and scale data programs, processes, and teams., • Experience supporting business functions like Finance, Operations, Product, or Growth with analytics and reporting. What We Offer • A standout 401(k) plan (naturally!)., • Generous stock options—share in our growth and success., • Flexible work environment—choose where you’re most productive., • Excellent benefits, including medical, dental, and vision., • Flexible hours—because great work doesn’t always happen 9–5., • Plenty of PTO—we value work-life balance., • A fully stocked kitchen when you’re in the office. At 401GO, we invest in our people just as much as we invest in helping Americans secure their financial future.We are proud to be an Equal Opportunity Employer. We support a working environment that provides qualified employees and applicants with equal employment opportunity on a non-discriminatory basis without regard to race, color, creed, age, religion, gender (including pregnancy, gender identification and/or gender nonconformity) sexual orientation, marital status, national origin, ancestry, ethnicity, genetic information, physical or mental disability, citizenship, past, current or prospective service in the uniformed services or any other basis prohibited by federal, state, or local law. E04JI800lnui4086tyn