• lead the technical direction and development of outfit completion models • drive end-to-end model development, from problem formulation and research to production deployment • design and implement state-of-the-art machine learning models • mentor and guide other data scientists on the team • own and evolve experimentation strategies, defining success metrics • partner cross-functionally with Product, Engineering, and Design • tackle ambiguous, high-impact problems to drive solutions forward • leverage rich, multi-modal datasets to power innovative recommendations

We are looking for an experienced SAP ePP/DS Consultant to support a S/4HANA implementation project with a focus on Planning (ABP & PP/DS). The engagement covers design, build, and testing phases, with a planned PP/DS go-live across two production plants. - Configure and customize SAP ePP/DS in line with business requirements - Identify, analyze, and resolve configuration and system issues - Document configurations, solutions, and changes - Execute integration testing within the ePP/DS landscape - Support end-to-end process integration across S/4HANA planning modules - Collaborate with international and offshore teams - Proven experience with SAP ePP/DS (configuration, testing, troubleshooting) - Strong understanding of S/4HANA planning modules and integration points - Experience with integration testing and documentation - Ability to work effectively in a fully remote, distributed team setup - Strong communication and stakeholder management skills

Opportunity Overview: We are looking for innovative and creative individuals who seize opportunities to uncover hidden drivers, impacts, and key influences to support our product, leadership and clinical teams by applying optimization and statistical methods on a variety of data. You will work closely with the clinical program and product teams to support decision-making and will dig into a wide range of strategic and clinical problems. As a growing organization, we have built a team of talented and experienced people who are passionate about helping providers and patients and this is a position that offers the ability to make a substantial impact on the company with rapid growth opportunities. You will be part of a growing data science team within the technology organization. What you’ll do: - Drive strategic data science initiatives that directly impact our product roadmap and business outcomes while working as part of a cross-functional team. - Take ownership of data science milestones, requirements gathering and identify risks and opportunities with various data sources. - Independently lead in-depth analyses of a variety of healthcare and product data sources to enable data-driven decision-making driving business impact and ROI. - Mentor junior data scientists in development and statistical best practices, conduct code reviews, and communication with non-technical audiences. - Present information using data visualization techniques and propose solutions and strategies to business challenges - Design and conduct causal inference analyses using healthcare claims, EHR and similar data. - Leverage a variety of cutting-edge technologies, including LLM and stochastic optimization, to support faster and better decision making What you’ll need: - 5+ years hands-on data science experience at company where health outcomes were critical to the mission, preferably a healthcare analytics company or population health organization - Demonstrated leadership experience in healthcare data science with a track record of influencing product strategy and business outcomes - Strong communication skills with the unique ability to translate business needs from stakeholders into data science technical requirements and translate data science results back to business and clinical units. - Proficient in current modeling approaches, standard scientific methods for intervention based analysis, trend identification, causal inference, and pattern detection - Strong experience using a variety of data mining/data analysis methods, utilizing a variety of analytic tools, building and implementing models, creating algorithms and running simulations - Experience with graph database managing clinical concepts is a big plus - Experience in prompt engineering and context optimization with LLM - Experience with programming languages (Python,PySpark, Scala and/or Spark SQL) - Strong interest and understanding of EMR data, Claims and SDOH data - Experience with data visualization tools such as Tableau and Kibana, preferred - MSc or higher degree in a data science/ analytics, statistics, mathematics, engineering related field Pay & Perks: 💻 Fully remote opportunity with about 5% travel 🩺 Medical, dental, vision, life, disability insurance, and Employee Assistance Program 📈 401K retirement plan with company match; flexible spending and health savings account 🏝️ Flexible Time Off + Company Holidays 👶 Up to 14 weeks of paid parental leave 🐶 Pet insurance  The salary range for this position is $125,000 to $155,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment. Interview Process*: - Connect with Talent Acquisition for a Preliminary Phone Screening - Meet your Hiring Manager! - Take Home Exercise and Presentation - Team Interview - Leadership Interview *Subject to change About Cohere Health: Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members. With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately. Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes. The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone. We can’t wait to learn more about you and meet you at Cohere Health! Equal Opportunity Statement: Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal. #LI-Remote #BI-Remote

• Build predictive models and apply scientific computing methods • Create a worldwide dataset for exploration • Work closely with geoscientists for geologic predictions • Design field programs to collect data • Develop data tools for scientific problem-solving