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Data Scientist Role

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 Data Scientist, you will play a critical role in developing the intelligence behind our product. You'll collaborate with data engineers, product leads, and customer-facing teams to build robust, high-impact AI systems. Your expertise in machine learning, genAI, agents, and graph technologies will be central to how we deliver scalable and measurable value to our customers. You’ll not only develop novel models and frameworks but also work with customers to ensure these systems achieve their full impact in real-world environments. You’ll help set the standard for what modern applied AI looks like in the consumer brand space.

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.

compensation

$150K-$170K base salary + performance bonus + excellent benefits and perks + equity

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 join@sciemo.ai

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