Sr. Data Scientist

Job Description

Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Azure, GCP, Fivetran, Pinecone, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.

We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Why phData?

- Snowflake Implementation Partner of the Year - 7 consecutive years, and 2026 Snowflake AI Partner of the Year

- AWS Premier Tier Services Partner - the highest tier of recognition in the AWS Partner Network

- 2025 Fivetran Partner of the Year (4th consecutive year)

- 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status

- 2026 KNIME Customer Excellence Partner of the Year

- Preferred Partner in the Anthropic Claude Partner Network

- #1 Partner in Snowflake Advanced Certifications

- 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)

- Recognized as an award-winning workplace in the US, India and LATAM

We are looking for a Senior Data Scientist to join our Applied AI team. In this role, you will design, build, and deploy advanced machine learning and Generative AI solutions that improve and streamline business processes for large enterprise customers. You will translate complex business needs into robust technical solutions and production-ready models. You will collaborate closely with clients, business stakeholders, data engineers, ML engineers, and cross-functional teams to deliver high-quality solutions and advance phData's delivery excellence.

Key Responsibilities

- Lead the end-to-end design, development, and deployment of machine learning and Generative AI solutions that deliver measurable business value for large enterprise customers.

- Translate ambiguous business requirements into clear technical specifications, model designs, and implementation plans in partnership with diverse stakeholders.

- Build, refine, and productionize data pipelines, features, and models, ensuring robust training, evaluation, monitoring, and ongoing performance management.

- Partner with data engineers, ML engineers, and other cross-functional teams to implement MLOps best practices that support scalability, reliability, and long-term model maintenance.

- Drive thought leadership by documenting approaches, creating clear visualizations and presentations, and contributing to community initiatives such as open source projects and talks.

About You

You are a technically rigorous, client-focused problem solver who enjoys working in a fast-paced, outcomes-driven environment. You are comfortable operating in distributed, global teams and partnering with colleagues across time zones.

Required Qualifications

Experience

- 3-5+ years of hands-on experience building models and developing algorithms for real-world applications and data-driven optimizations.

Technical / Functional Skills

- Deep knowledge of advanced mathematics, statistics, and machine learning, with expertise in deep learning, natural language processing, and computer vision.

- Mastery of Python and SQL, with strong computer science fundamentals in data structures, algorithms, and distributed systems.

- Hands-on experience with core data science tooling, including Python scripting, NumPy, SciPy, matplotlib, scikit-learn, Jupyter notebooks, and bash scripting.

- Practical experience with major ML algorithms and libraries, including XGBoost, Random Forests, time-series methods (e.g., Prophet), and other common modeling approaches.

- Familiarity with modern Generative AI and LLM techniques, such as RAG, context engineering, and agentic systems, and experience developing on cloud platforms like AWS, Azure, or Databricks using cloud-native AI services.

Education - If desired

- Advanced degree or evidence of exceptional ability in engineering, computer science, mathematics, physics, chemistry, operations research, or a related field.

Preferred Qualifications

Preferred qualifications help candidates stand out but are not required for success in this role.

- Previous consulting experience working directly with external clients or stakeholders.

- Experience explaining complex technical concepts and model outcomes to both technical and non-technical audiences.

- Demonstrated contributions to the data science community through open source projects, talks, blogs, or similar activities.

- Experience working on cross-functional teams in distributed or global environments.

Why phData?

- Impactful Work: Partner with leading organizations on meaningful data & AI initiatives.

- Collaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.

- Growth Opportunities: Access to challenging projects, mentorship, and structured development pathways.

- Values-Driven: We prioritize doing the right thing for our clients, our teams, and our community.

Benefits at phData

US:

- Remote-First Work Environment

- 401k plan with company match

- Dental and Vision insurance

- Home Office Equipment Stipend

- Annual stipend for Learning and Development

- Competitive comp, excellent benefits, 4 weeks PTO plan plus 10 Holidays (and other cool perks)

phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.