Role Description Lead Data Scientists at Excella drive the development and implementation of advanced analytics solutions, ensuring alignment with business objectives and technical best practices. They provide strategic leadership in data science projects, mentor team members, and influence decision-making through data-driven insights. - Lead the design and execution of data science projects, ensuring high-impact analytics solutions. - Partner with client stakeholders to understand business challenges and develop data-driven strategies. - Oversee data acquisition and integration, ensuring data quality and reliability. - Apply and refine machine learning and predictive modeling techniques to solve complex business problems. - Guide the deployment and integration of predictive models into business applications. - Develop and implement strategies for optimizing model performance and monitoring over time. - Present findings and recommendations to executives, translating complex data concepts into actionable business strategies. - Mentor and support junior and senior team members in data science methodologies and best practices. - Influence data governance and best practices within the organization. Qualifications - 6+ years of experience in predictive analytics using tools like Python, R, or Scala. - 6+ years of experience writing complex SQL queries for data extraction and transformation. - Extensive experience applying machine learning techniques, including deep learning and NLP. - Expertise in working with large-scale data platforms, including Hadoop, Spark, and cloud-based solutions. - Strong background in leading data science teams and mentoring junior data scientists. - Proven ability to translate business problems into data science solutions. - Excellent communication skills for engaging with stakeholders at all levels, including executives. - Experience leading projects within Agile Scrum frameworks. - Strong strategic thinking, problem-solving skills, and ability to drive decision-making based on data insights. - Familiarity with DevOps Research and Assessment (DORA) and its application in analytics. - Continuous learning mindset with a passion for staying up to date on emerging data science technologies. Benefits - Top of industry medical, dental, and vision benefits with multiple options. - Employer-contributed health savings account, infertility coverage, and orthodontia. - 8 weeks of Parental Leave. - Discounted pet insurance. - Care.com membership with 3 back-up emergency child or elder care days annually. - 15 days of paid vacation, 6 federal holidays, and 4 floating holidays starting day one. - TechEleX program providing multiple options for technology needs, including Mac or PC devices. - Annual Internet Reimbursement benefit of $25 per month. - 3 days of paid professional development every year, including an allowance for registration fees. - Employee wellness events, HeadSpace membership, and access to TalkSpace and mental health coverage. Company Description Excella is a transformative technology firm that helps organizations unlock new possibilities. We believe the key to helping clients challenge the status quo and reach new heights lies in our talented people. That’s why we’re committed to developing talent and providing opportunities for career growth at every stage. Join our collaborative team dedicated to solving complex problems with sustainable solutions while building your future as a leader. At Excella, you’re empowered to make lasting impact, turning today’s challenges into tomorrow’s mission successes. Workplace locations look different for everyone. Excellians are a distributed workforce and whether you're working from your home office or a client site, we support a flexible work/life integration regardless of your location.

• Provides operational leadership in the department’s use of voter, worker and member data. • Provides assistance in onboarding IU and local affiliate staff with data responsibilities. • Interfaces with organizational leaders and external contacts in complex, nuanced and sometimes sensitive stations. • Creates and manages systematic processes shared across multiple campaigns or staff teams. • Writes original SQL code to manipulate data for campaign reporting and information workflows. • Build reports and data visualization or maps, using tools such as Tableau. • Exercises subject-matter expertise and thought leadership in development and exercise of the union’s data capacity. • Administers SEIU’s campaign data, organizing databases and other technologies employed during SEIU’s political, internal and external organizing efforts. • Provides guidance and advice to SEIU Local, State Council and International staff that enhance the union’s membership lists, voter file and Voting Age Population data. • Provides guidance and advice to SEIU Division, Local and Organizing campaign staff that enhance organizing lists, professional registries and other potential organizing targets. • Works closely with the management teams of various Departments and Divisions to develop and target member, worker and voter contact programs through digital, mail, phones, worksite visits and canvassing. • Conducts extensive research and prepares detailed voter, worker or member contact reports and other documentation (graphs, charts, maps) for use by SEIU International Departments, Divisions or campaigns. • Implements training of International, State Council, and Local Union staff in the use of campaign data and organizing technology. • Represents SEIU in internal and external forums and maintains relations with SEIU locals and state councils.

• Own and execute the technical and strategic roadmap for the US Health payment integrity division • Champion the design and productization of robust data pipelines optimized for LLMs • Establish and oversee rigorous evaluation frameworks for unbiased agentic decisions • Mentor, grow, and empower senior and junior data scientists • Lead high-impact client workshops and present cutting-edge prototypes • Maintain a modular, agile product strategy for seamless integration and swapping of capabilities

• Transform raw customer data and feedback into actionable insights • Enable CX teams to access effective data for strategic decision-making • Drive data integrity and support operational excellence • Set up governance processes for past insights