Sr. Forward Deployed Data Scientist/Engineer
Sr. Forward Deployed Data Scientist/Engineer
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$ 180000 - 225000
1 Vacancy
Job Description
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 cutting-edge customer-facing 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 Scales 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 real-world applications for industry-leading 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 e-commerce 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 data-driven solutions and robust statistical models.
- End-to-End 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 high-quality 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 real-world insights to influence our product roadmap and technical strategy.
- Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge 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 customer-facing 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:
- 5 years of relevant industry experience in a highly analytical role (e.g. Data Science ML Engineering Quantitative Analysis).
- Proven track record of shipping high-quality data products models or features at scale.
- Strong problem-solving skills and the ability to turn abstract business and product ideas into concrete data science and engineering solutions.
- Expert-level coding abilities in Python for data science (e.g. Pandas NumPy Scikit-learn) and mastery of complex SQL across large datasets.
- Ability to effectively communicate complex technical concepts to both technical and non-technical audiences.
- Desire to thrive in a fast-paced dynamic environment and adapt quickly to the ever-changing world of Generative AI.
- Excited to join a dynamic hybrid team in either San Francisco or New York City.
Preferred Qualifications:
- Experience in a client-facing 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 large-scale data processing frameworks and distributed systems (e.g. Spark Ray).
- Familiarity with marketplace experimentation causal inference and advanced statistical modeling.
- Experience with cloud-based infrastructure and data warehousing (e.g. AWS GCP Snowflake BigQuery).
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 job-related skills experience interview performance and relevant education or training. Scale employees in eligible roles are also granted equity based 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.
Please reference the job postings subtitle for where this position will be located. For pay transparency purposes the base salary range for this full-time position in the locations of San Francisco New York Seattle is:
$180000 - $225000 USD
PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale our mission is to develop reliable AI systems for the worlds most important decisions. Our products provide the high-quality data and full-stack technologies that power the worlds leading models and help enterprises and governments build deploy and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta Cisco DLA Piper Mayo Clinic Time Inc. the Government of Qatar and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
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 Please see the United States Department of Labors Know Your Rights poster for additional information.
We comply with the United States Department of Labors Pay Transparency provision.
PLEASE NOTE: 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 for additional information.
Required Experience:
Senior IC
Employment Type
Full Time
