Principal Nutrition Scientist Location: Lakeville, MA, United States Job Description: Full time job requisition id R5196 Ocean Spray is hiring for a(n) Principal Nutrition Scientist! We’re a team of farmers, thinkers, creators, and doers. Whatever your title, whatever your role — it always comes back to this: we’re a farmer-owned co-op where everyone rolls up their sleeves to get the job done. Three maverick farmers started it all — and we’ve been making our own way ever since. Position Location: We're all about flexibility! This will be a hybrid role based out of our corporate headquarters in Lakeville, MA with Mondays and Fridays remote. The Principal Nutrition Scientist will lead nutritional research initiatives for the Cooperative. You will analyze research needs and develop strategy for research to support product development efforts pertaining to Cooperative products and functional ingredients including but not limited to evaluating scientific literature, developing research strategy, conducting clincal trials and analyzing outcomes to support messaging. You will build relationships with external stakeholders and research units, substantiate health claims for products, and ensure nutritional regulatory compliance. Additionally, you will collaborate with cross-functional teams to drive innovation and identify health innovations for a competitive industry advantage. A Day in the Life... - Provides strategic direction for nutrition research activities to promote new and current areas of cranberry health benefits and other health promoting functional ingredients. Drives long term health positioning and competitive advantage. - Define research agenda based on enterprise direction and influence innovation pipeline. Coordinate and support basic and clinical research activities by initiating new collaborations, reviewing literature and attending conferences - Coordinate and execute nutrition policy activities in cross functional teams to provide technical support for development and marketing of innovative health products globally. - Provide direction for development of substantiation for functional ingredients to support marketing claims and regulatory approvals globally. - Establish good working relationships with academic influencers and external collaborators. - Provide nutrition technical expertise to cross functional team members for evaluation of emerging technology to support health innovations, product innovations, and sustainability. - Familiar with patent search, analysis and mapping. Relay opinion on claims and patent interpretations. - Plan nutrition research activities to promote new and current areas of cranberry health benefits and other health promoting functional ingredients. Execution and leadership for development and support of research and claims. What We Are Looking For: Required - Show depth and breadth of knowledge in nutrition science and help transmit and implement solutions to business challenges. - Educational training in nutrition, biochemistry, human health or biology - Clinical design and biostatistics. - Strong oral and written communication skills - Strong execution and management skills - Demonstrated strategic and innovation mindset and ability to engage and influence external collaborators - Ability to influence, mentor and guide cross-functional strategic alignment Preferred - Deep knowledge of nutrition and claims regulations - Working knowledge of food science, analytical chemistry or food technology - Understanding of nutrition and policy landscape and ability to navigate and influence to support business needs. - Project management and strategic planning skills - Leadership and mentorship skills - Strategic and creative mindset - Ability to manage ambiguity Education: Doctor of Philosophy (Required) Work Experience: At least 5 Years of Experience Annual Salary: $105,800 - $145,420 The base salary range information above serves as a guideline of the position’s typical hiring range. We value and appreciate what makes you unique and will consider a variety of factors when determining an offer. These factors include, but are not limited to, your skills and experience, external and internal benchmarks, as well as overall company considerations. Certain positions may be eligible for short-term and long-term incentive rewards. We also offer a competitive and comprehensive benefits program that supports all aspects of your health and well-being. Benefits: - Complete insurance package on Day-1 that includes a plethora of health and wellness programs - - Health, Dental and Vision insurance - Health savings account - Flexible spending account - Life and accident insurance - Employee assistance program - Telehealth services - 1:1 health coaching - Supportive benefits for all the stages of your life - 401(k) with up to 6% Company matching; additional potential discretionary match at year-end - Short-Term Incentive/Performance bonuses - Flexible scheduling options - Vacation pay, up to three weeks of time (pro-rated for your first year of employment) - Holiday pay for 12 holidays - Career development and growth opportunities - Tuition/Education assistance programs - Access to LinkedIn Learning - Scholarship programs for children of employees - Parental leave - Bright Horizons Family Solutions – Back-up care, tutoring, etc. - Adoption assistance - Bereavement leave - Up to $300 fitness reimbursement - Up to $300 massage reimbursement - Employee appreciation events - Employee discounts - Charitable giving Who We Are: You might have our iconic cranberry juice in your fridge or have gotten into heated holiday debate about what’s better - canned or fresh cranberry sauce. But did you know that the hardworking people growing the superfruit in our products are 700 family farmers that own our cooperative? They entrust us with what is most precious to them to create new and innovative products that will delight consumers and grow this beloved brand today and into the future. Team members, farmers, consumers and communities alike--we value what makes us unique and strive to connect our farms to families for a better life by living our values: - Grower Mindset – We embrace our grower-owners innovative spirit and heritage through confidence, learning and focus on the future. - Sustainable Results – Guided by purpose, we are focused on delivering results for our grower-owners. - Integrity Above All – We are ethical, doing the right thing for our grower-owners, customers, consumers and each other - Inclusive Teamwork – We build diverse and inclusive teams that strengthen our cooperative. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. For MA Applicants – It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. Any employer who violates this law shall be subject to criminal penalties and civil liability.

• Analyze and model data: identify opportunities to improve operational performance through analysis of industrial data. • Develop simulation, optimization and predictive models to address specific business challenges. • Build tangible solutions: run workshops with business teams to understand challenges, data, and objectives. • Collaborate with technical and business teams to deploy production-ready operational solutions. • Provide strategic advice and support: work with consultants to translate analysis results into strategic and operational recommendations.

Role Description You’ll join the Forecasting Domain within our Data & AI division as a Junior Data Scientist. Our team predicts parcel volumes and operational demand across multiple European markets - forecasts that drive planning, capacity and decisions all the way up to C-level. This is a role built for someone at the start of their career: you’ll learn directly from experienced data scientists, contribute to real forecasting models from day one, and grow along a clear path from Junior toward Senior and beyond. We care more about how you think than how many years you’ve worked. Tech stack: Python (Pandas, NumPy, Scikit-learn), SQL & data warehouses, PySpark & distributed processing, Databricks, Cloud platforms (Azure / GCP / AWS). Working under the guidance of senior team members, you will: - Run end-to-end forecasting analyses on real business problems - from data preparation and feature engineering through to modelling and turning results into clear, actionable recommendations - Build and evaluate time series and machine learning forecasting models, validating them through rigorous testing and iterative improvement - Write clean, well-structured code and take part in code reviews to keep our standards high and share knowledge - Take ownership of your tasks: estimate your work, communicate progress, and flag issues early to deliver on time - Support the full lifecycle of our forecasting products, helping maintain models in production and contributing to handovers - Keep learning - deepening your technical foundations and forecasting expertise through on-the-job work and close collaboration with the team You’ll work day-to-day with data scientists, product leads, ML engineers, data engineers and business stakeholders, so clear communication matters as much as clean code. Qualifications - Higher education in progress or completed (Bachelor’s or Master’s) in computer science, statistics, mathematics, physics, econometrics or a related field - Around a year of first commercial / internship experience in data analysis or data science - or an equally strong record of documented academic, research or competition participation - Good knowledge of Python for data workflows (Pandas, NumPy, Scikit-learn) - Practical SQL skills for querying relational databases - Solid grounding in data cleaning, wrangling and exploratory data analysis (EDA), and a good understanding of basic statistics - Familiarity with core ML methodologies (regression, classification), including evaluation metrics and cross-validation - Ability to visualize and communicate insights clearly (e.g. Matplotlib, Plotly), with focus on storytelling and clarity - English at B2 level or higher - Proficiency in the use of LLM-Agentic technology in software development: Claude Code, Cursor, OpenAI Codex, etc. Requirements - A strong track record in data science / ML competitions (Kaggle and similar), olympiads or hackathons - Documented academic or personal projects in data analysis or machine learning — a thesis, research, publications or a solid github portfolio - Exposure to time series or forecasting methods (e.g. ARIMA / classical statistical models, gradient boosting, or modern forecasting approaches) - Familiarity with PySpark or other big-data tools - A basic understanding of cloud platforms (e.g. AWS, GCP, Azure) and simple data pipelines (Airflow, dbt) - Experience building dashboards and reports (Streamlit, Dash, Power BI) - Exposure to containerisation and experiment tracking (Docker, MLflow) - Reproducible-workflow habits: notebooks, Git, clean code and clear documentation Benefits - Remote role across Poland. - Access to e-learning platforms - eTutor, GoodHabitz, Data Camp, and more. - A wide range of benefits, including the MultiSport+ card, private healthcare, and group insurance, is available on the Worksmile platform. - External and internal growth opportunities - conferences, trainings, workshops. - Chances to broaden your skill set and acquire new competencies through daily work, challenging projects, and training activities. - B2B type of contract

Title: Sr Statistician Location: United States Job Description: Category: Data & BI Analytics Req ID: 1164 We Impact Lives Through Purpose-Driven Work in A People First Culture Ascend Learning, a leading healthcare and learning technology company, is the connection between a powerful portfolio of brands serving students, educators, and employers with outcomes-based, data-driven solutions across the lifecycle of learning. From testing to certification, Ascend Learning products are used by physicians, emergency medical professionals, nurses, allied health professionals, certified personal trainers, financial advisors, skilled trades professionals and insurance brokers. Headquartered in Burlington, MA, with additional office locations and hybrid and remote workers in cities across the U.S., Ascend Learning was recognized by Newsweek and Plant-A Insights Group as one of America’s 2025 Greatest Workplaces as well as America’s Best Places to work for Mental Well-Being for 2025.  We're always looking for talented, passionate professionals to join us in our mission to help change lives. If this sounds like an environment where you'd thrive, read on to learn more.  WHAT YOU'LL DO The HWS (Healthcare Workforce Solutions) Senior Statistician is responsible for planning, designing, and executing insights that have clear business outcomes and are based in rigorous statistical modeling and analysis of clients’ de-identified data. They will work with HWS’s customer success, marketing, sales, and product teams to understand how available and potential insights could support HWS and Ascend goals, contribute to external thought leadership, and define internal product work. They may work with clients to collect and understand a growing diversity of outcomes data. They are responsible for identifying analytical opportunities based on organization goals and client/partner requests and leading the deployment of a solution to generate and share them. This leader also plays a central role in any longitudinal data studies across Ascend that include workforce (Laudio or StaffGarden) data as outcomes. WHERE YOU’LL WORK This position will have the flexibility to work remotely within the United States. HOW YOU’LL SPEND YOUR TIME - Lead the development and deployment of all statistical work within HWS that directly supports clear business outcomes, which includes Laudio and StaffGarden, as well, potentially other data sets within Ascend - Convene and collaborate with stakeholders (within Insights and cross-functionally) to identify opportunities for statistical insights. - Build on, update, and grow a data management process for ongoing data feeds of healthcare system data related to product utilization and clients’ outcomes - Based in insight into HWS and Ascend business goals, define project milestones and provide updates on progress and roadblocks in team meetings (and occasionally broader leadership meetings) - Build on, update, and grow appropriate statistical analyses related to clients’ outcomes accounting for factors (e.g., employee, manager, and facility-level for the Laudio dataset). - Outcomes include employee turnover, employee engagement scores, quality/safety data - Use AI when possible to accelerate writing and testing of statistical models - Quickly finding meaningful signals in the models that could be used to inform and inspire Laudio's product and users about the types of actions that are making the greatest impact on outcomes. - For example, communicating which results (i) are statistically significant, (ii) are not statistically significant but are likely to be indicative of an outcome that could be communicated to users or to inform product direction, and (iii) are not indicative of a signal. - Able to quickly iterate models to attempt new approaches and to answer evolving hypotheses - Able to contribute new creative hypotheses that could be asked of the model - Summarize and communicate statistical results for general audiences for use by marketing, content, and other teams WHAT YOU'LL NEED - 8+ years of experience as a biostatistician, ideally working within a health system (other applicable roles include: healthcare data analyst, data analyst, data scientist and bioinformatician) - 3+ years of experience working with healthcare data - Strong working knowledge of R programming for both data management and analysisDemonstrated ability to extract meaningful business insights - Demonstrated ability to translate statistical outputs into practical insights that influence organization and client-facing decisionsIdeally, some experience with SQL - Self-driven and proactive while working in a remote environment; able to work independently - Minimum of 3+ years of experience with multi-level modeling - Experience working with large health system data preferred - Communicates effectively, both orally and in writing. - Strong project management skills, highly organized and able to prioritize and multi-task - Excellent interpersonal skills - Able to effectively visualize and report data findings in various formats. - PhD degree in biostatistics, public health, informatics or related field BENEFITS - Flexible and generous paid time off - Competitive medical, dental, vision and life insurance - 401(k) employer matching program - Parental leave - Wellness resources - Charitable matching program - On-site workout facilities (Leawood, Gilbert, Burlington) - Community outreach groups - Tuition reimbursement Fostering A Sense of Belonging Our values-driven culture unifies our teams and inspires a mindset of action, innovation, and collaboration, with a relentless focus on customers. We seek out and celebrate all people and perspectives and cultivate an inclusive culture where everyone can thrive, feel valued, and be authentic. Our culture is firmly rooted in the belief that by embracing our differences and drawing on diverse perspectives, we are a stronger, more innovative, and more successful organization where employees experience a sense of belonging.  Ascend Learning, LLC is proud to be an equal opportunity employer (M/F/Vets/Disabled). No agency or search firm submissions will be accepted. Applications for U.S.-based positions with Ascend Learning, LLC must be legally authorized to work in the United States, and verification of employment eligibility will be required at the time of hire.