Sr. Data Scientist
overview
We are an industry-leading startup developing AI for consumer brands. Our solutions leverage machine learning, generative AI, agent-based systems, and graph technologies to get our customers to insights in seconds and to business impact in minutes using our products.
We are looking for a Data Scientist, a core member of our team responsible for designing, deploying, and scaling AI systems that directly power our customer solutions.
role
As a Founding Member of Technical Staff, you will work in a hybrid capacity as both a Data Scientist and Machine Learning Engineer, you will play a pivotal role in designing, building, and deploying the intelligence behind our AI products. You’ll work across the full spectrum of applied AI—spanning data science, machine learning, and large-scale production engineering. This hybrid role requires both deep expertise in developing innovative models and the engineering discipline to deploy and maintain them in robust, scalable systems.
You’ll collaborate closely with data engineers, product leads, backend engineers, and customer-facing teams to ensure that our AI systems deliver measurable value in real-world environments. As one of the earliest technical hires, you will help define our AI strategy, set technical standards, and establish best practices for applied AI at scale.
responsibilities
Develop AI approaches for business problems:
Develop deep understanding of business problems facing our clients and design AI roadmaps to solve these problems including data collection, experiment design, and product versioning
Design ML and genAI workflows to fit in Sciemo’s production deployment architecture systems, from data ingestion and feature engineering to modeling and performance evaluations
Design automated model promotion pipelines to ensure constant improvement in model performance
Write production ML code:
Build scalable, modular, and interpretable AI systems that deliver consistent and measurable impact
Leverage orchestration frameworks (e.g. Apache Airflow, Kedro, ZenML) and versioned SQL/Python transformations (dbt or similar) to enable modular and repeatable pipelines.
Work closely with product and engineering teams to ship features that create business value
Drive product innovation:
Keep up with latest advancements in AI and develop concrete proposals for integrating them into our products
Develop tools and methods to quantify and communicate AI performance and business value
Work across teams to evangelize best practices for responsible and impactful AI
Surface and integrate feedback from customer deployments into iterative model development
all about you
5+ years of experience in common ML tools, e.g., Python, sk-learn, pytorch, keras, tensorflow, SQL, Spark
5+ years of experience writing production-deployable Python code. Deep understanding of object- and function-oriented programming patterns.
Proven experience designing and deploying AI systems in production environments
Strong grasp of core ML, genAI such as LLMs, diffusion models, agent-based architectures, and graph technologies
Hands-on experience with building, evaluating, and scaling models for real-world use cases
Self-driven, highly adaptable, and motivated by impact
Excellent communication skills; able to work closely with both technical and non-technical stakeholders
Experience driving thought leadership and innovation in applied AI contexts
location
Hybrid role based in New York City; open to remote U.S. candidates willing to travel monthly to our NYC office.
benefits & perks
Check out our one pager!
interview round
Phone Screen
Peer Interview
Founders' Interview
employee opportunity employer
We are an equal opportunity employer and consider applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disability, veteran status, or any other characteristic protected by law. We actively encourage diversity, inclusion, and equitable hiring practices.
If you require accommodations during the hiring process, please reach out to our recruitment team at [email protected]
Average salary estimate
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