Staff Forward Deployed Data Scientist/Engineer

Staff Forward Deployed Data Scientist/Engineer At Scale AI, we are accelerating the development of artificial intelligence by providing the essential, data-centric infrastructure for building and deploying advanced AI systems. We are looking for a Forward Deployed Data Scientist/Engineer to architect and build the sophisticated data solutions that solve our customers' most complex challenges. This role is for a first-principles thinker who thrives on ambiguity, enjoys solving novel customer problems, and has a passion for applying rigorous data science to deliver measurable business impact. Youll work on a mix of cuttingedge, customerfacing AI implementations. Our team powers projects like TIMEs Person of the Year AI experience, where our technology helped shape one of the most iconic features in media. Leveraging Scale's powerful data infrastructure, you will build bespoke evaluation frameworks, deploy custom statistical models, and architect data pipelines. Your work will play a crucial role in shaping how AI delivers measurable value in realworld applications for industryleading companies. Youll be exposed to the cutting edge of the Generative AI industry while directly interfacing with leading enterprise organizations, including top industry leaders in telecommunications, ecommerce, finance, education, publication, insurance, and health. Responsibilities Drive Impact: Directly contribute to the advancement of AI by delivering critical data science infrastructure and insights for leading AI innovators and enterprise customers. Customer Collaboration: Interact daily with our technical customers, deeply understanding their unique challenges and translating ambiguous business problems into concrete datadriven solutions and robust statistical models. EndtoEnd Data Solution Development: Design, build, and deploy solutions across the entire data lifecyclefrom data ingestion and pipeline construction to statistical modeling, experimentation, model evaluation, and insight generation. Rapid Experimentation: Design and deliver highquality experiments (e.g., A/B tests, marketplace modeling), iterating quickly to validate hypotheses, meet customer needs, and drive innovation. Strategic Influence: Act as the voice of the customer to our internal Product, Engineering, and Data Science teams, channeling realworld insights to influence our product roadmap and technical strategy. Diverse Projects: Engage in a dynamic mix of designing and deploying cuttingedge data solutions, from building LLM evaluation frameworks to adapting statistical models for novel economic and business problems. Leadership Growth: This role offers a unique opportunity to lead critical customerfacing projects, shape our data culture, and accelerate your career growth. Youll be positioned to become a future leader in a company defining the next era of technology. Requirements 8+ years of relevant industry experience in a highly analytical role (e.g., Data Science, ML Engineering, Quantitative Analysis). Proven track record of shipping highquality data products, models, or features at scale. Strong problemsolving skills and the ability to turn abstract business and product ideas into concrete data science and engineering solutions. Expertlevel coding abilities in Python for data science (e.g., Pandas, NumPy, Scikitlearn) and mastery of complex SQL across large datasets. Ability to effectively communicate complex technical concepts to both technical and nontechnical audiences. Desire to thrive in a fastpaced, dynamic environment and adapt quickly to the everchanging world of Generative AI. Excited to join a dynamic, hybrid team in either SanFrancisco or NewYorkCity. Preferred Qualifications Experience in a clientfacing or consultative role (e.g., Forward Deployed Engineer, Solutions Architect, Data Science Consultant). Deep expertise in designing metrics, diagnosing data inconsistencies, and building evaluation frameworks for ML/LLM systems. Experience with largescale data processing frameworks and distributed systems (e.g., Spark, Ray). Familiarity with marketplace experimentation, causal inference, and advanced statistical modeling. Experience with cloudbased infrastructure and data warehousing (e.g., AWS, GCP, Snowflake, BigQuery). Compensation & Benefits Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including jobrelated skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equitybased compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. Youll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. $228,800 $286,000USD PLEASE NOTE: Our policy requires a 90day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. Equal Opportunity Employment We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labors Know Your Rights poster for additional information. We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information. #J-18808-Ljbffr