<p>We are</p> <p>At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets.</p> <p>Our challenge</p> <p>We are seeking a skilled Product Data Scientist with 3-5+ years of experience to join our team and drive data-informed decision-making within our Generative AI services. The ideal candidate will have a strong analytical background, proficient in SQL and Python, along with expertise in machine learning and statistics. Candidate will play a pivotal role in defining success metrics, analysing product performance, and translating business needs into actionable data insights.</p> <p>Additional Information*</p> <p>The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Jersey City, NJ is $140k - $170k/year & benefits (see below).</p> <p>The Role</p> <p>Responsibilities:</p> <ul> <li>Metric Definition and Tracking: Define and track success metrics across Generative AI services to measure performance and impact. </li><li>Data Problem Translation: Translate ambiguous business needs into measurable data problems, ensuring alignment between product goals and data analysis. </li><li>Collaboration: Partner with engineers and data scientists to define user workflows, evaluation sets, and queries that support product development and refinement. </li><li>Model Analysis: Analyze model failures, ambiguities, and user logs to provide insights that guide improvements in prompts and retrievers. </li><li>A/B Testing: Design and implement A/B tests to evaluate product features, analyze results, and inform product decisions. </li><li>Communication: Effectively communicate findings and recommendations to both technical and non-technical stakeholders, fostering a data-driven culture within the organization. </li><li>Product Sense: Utilize strong product sense to understand user needs and how data insights can enhance product offerings. </li></ul> <p>Requirements:</p> <ul> <li>Experience level 10+ Years. </li><li>Proficient in SQL and Python for data manipulation and analysis. </li><li>Strong understanding of machine learning concepts and statistical analysis. </li><li>Experience with experimentation methodologies, including metric definition and A/B testing. </li><li>Excellent communication skills with the ability to convey complex data insights to diverse audiences. </li><li>Familiarity with Large Language Models (LLMs) and their applications in product development. </li></ul> <p>Preferred, but not required:</p> <ul> <li>3-5+ years of experience in data science, product analytics, or a related field. </li><li>Bachelor's degree in Data Science, Statistics, Computer Science, or a related discipline (or equivalent experience). </li><li>Strong analytical problem-solving skills and attention to detail. </li><li>Ability to work collaboratively in a fast-paced, cross-functional environment. </li></ul> <p>We offer:</p> <ul> <li>A highly competitive compensation and benefits package. </li><li>A multinational organization with 58 offices in 21 countries and the possibility to work abroad. </li><li>10 days of paid annual leave (plus sick leave and national holidays). </li><li>Maternity & paternity leave plans. </li><li>A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region). </li><li>Retirement savings plans. </li><li>A higher education certification policy. </li><li>Commuter benefits (varies by region). </li><li>Extensive training opportunities, focused on skills, substantive knowledge, and personal development. </li><li>On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses. </li><li>Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups. </li><li>Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms. </li><li>A flat and approachable organization. </li><li>A truly diverse, fun-loving, and global work culture. </li></ul> <p>SYNECHRON'S DIVERSITY & INCLUSION STATEMENT</p> <p>Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative 'Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.</p> <p>All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.</p> <p>Candidate Application Notice</p>