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Data Science and BI Engineer

Atrium

New York, NY

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JOB DETAILS
SALARY
$150,000–$175,000 Per Year
SKILLS
Artificial Intelligence (AI), Business Intelligence, Business Model, Business Plan, Business Skills, Business Support, Campaigns, Communication Skills, Computer Science, Data Management, Data Modeling, Data Science, Database Extract Transform and Load (ETL), Demand Forecasting/Planning, Enterprise Applications, Establish Priorities, Experiment Design, Forecasting, Genetics, Information Technology & Information Systems, Interviewing Skills, Inventory Management, Machine Tool, Market Segmentation, Merchandising, Model Validation, Ontology, Predictive Modeling, Procurement Planning, Reporting Dashboards, Retail, Retail Channel, Sales, Short Messaging Service (SMS), Snowflake Schema, Software Development, Statistical Modeling, Supply Chain, Team Player, Wholesale Industry, Workflow Analysis, eCommerce
LOCATION
New York, NY
POSTED
Today
Client Overview:
Our client is a high-end luxury fashion company. They are looking to hire a Data Science and BI Engineer to join their team.

Salary/Hourly Rate:
$150k - $175k

Position Overview:
The Data Science and BI Engineer will build, operationalize, and own predictive models that improve decision-making across Planning, Merchandising/Buying, Customer 360, and Inventory Management. The Data Science and BI Engineer will be working primarily within Palantir Foundry as the core analytics and deployment platform. This role sits within the IT organization, reporting to the VP of Information Technology, and operates across the full business including Planning, Merchandising/Buying, DTC, and Supply Chain. Engineering owns ETL, data pipelines, and Snowflake ingestion. BI owns reporting and dashboards. This role owns predictive modeling, decision-support analytics, and model operationalization within Palantir Foundry

Responsibilities of the Data Science and BI Engineer:
  • Design, build, and maintain predictive and statistical models supporting retail planning, buying, inventory, and demand forecasting.
  • Operationalize models within Palantir Foundry using Code Workbook and Code Repository, working against Snowflake as the primary data source and ensuring outputs are production-grade and maintainable.
  • Own and evolve analytics logic and assumptions embedded in planning and buying workflows.
  • Partner with Planning, Buying, Merchandising, and DTC teams to translate business needs into model-driven insights, maintaining direct, ongoing relationships with the stakeholders and end users consuming model outputs.
  • Collaborate with the Enterprise Applications team on Workshop app development to ensure model outputs are surfaced effectively in business-facing Foundry applications.
  • Build models for customer segmentation, CLV, retention/churn, propensity, and campaign targeting (Customer 360).
  • Collaborate with Engineering, who owns data pipelines and Snowflake ingestion, to ensure model inputs are reliable, well-governed, and fit for purpose without owning the underlying data infrastructure.
  • Support human-in-the-loop workflows where planners and buyers can interrogate, override, or adjust model outputs in real time.
  • Validate model outputs against business reality and historical performance, closing the loop directly with end users on model accuracy and relevance.
  • Document methodologies and assumptions to support long-term ownership and institutional knowledge.
Required Experience/Skills for the Data Science and BI Engineer:
  • 4 to 8+ years of experience in data science, applied analytics, or predictive modeling.
  • Strong experience building predictive or statistical models including forecasting, optimization, regression, and classification.
  • Proficiency in Python for data analysis, modeling, and production-grade code.
  • Strong SQL and hands-on experience with Snowflake or equivalent cloud data warehouse.
  • Experience with Palantir Foundry strongly preferred, including familiarity with the Foundry Ontology layer, analytics and modeling tooling (Code Workbook, Code Repository), and how model outputs are surfaced through business-facing applications. Candidates who can reason within and contribute to an existing Ontology, and who understand how the semantic data layer connects to model design, will be prioritized.
  • Familiarity with experiment design and causal inference.
  • Experience with time-series forecasting at scale.
  • Retail domain experience strongly preferred, including familiarity with demand vs net sales, sell-through, markdowns, planning vs buying workflows, seasons, price groups, and store vs e-commerce dynamics.
  • Experience working with messy, real-world data and designing models that support business judgment.
  • Ability to reason about semantic or ontology-based data models.
  • Strong communication and relationship skills, comfortable working directly with planners, buyers, and business stakeholders, and able to translate model outputs into decisions, not just insights.
  • Long-term ownership mindset for maintaining and evolving models over time.
Preferred Experience/Skills for the Data Science and BI Engineer:
  • Hands-on experience building or contributing to Palantir Foundry Workshop applications.
  • Background in wholesale or multi-channel retail, including familiarity with the operational differences between DTC, wholesale, and brick-and-mortar planning cycles.
  • Exposure to agent-based or AI-assisted analytics workflows.
  • Experience working within a formal data governance or steerco-driven prioritization structure.
  • Familiarity with Snowflake-native development patterns including dbt, Snowpark, or similar.
Education Requirements:
  • Bachelor's degree in Computer Science or Analytics is required.
Benefits:
  • Client-provided benefits available, upon eligibility.
About Atrium:What you do matters. Guided by our Applicant-Centric™ approach, we foster an environment of collaboration, high performance, and innovation where your talents are valued, and your achievements are celebrated. Join us and become part of an inclusive team committed to your growth and success. By applying to this job, you agree to receive calls, AI-generated calls, text messages, and/or emails from Atrium and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to opt out on any message you receive. For more details, please review our Terms of Use and Privacy Policy . As a woman-owned firm, we value diversity. We are an equal opportunity and affirmative action employer and will consider all applications without regard to race, sex (including gender, pregnancy, sexual orientation and gender identity), age, color, religion or creed, national origin or ancestry, veteran status, disability (physical or mental), genetic information, citizenship or any other characteristic protected by law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Candidates who apply for roles through the Atrium website will be added to our candidate pool and may be considered for additional roles of a similar title. Please contact us to request an accommodation.
EOE/M/F/D/V/SO

Position ID: 394587

About the Company

A

Atrium

Founded in 1995, Atrium is a global WBENC certified leader in Extended Workforce Management and Talent Solutions that partners with the world’s largest brands to reimagine how work gets done. Guided by our Applicant-Centric™ philosophy, we approach hiring from the perspective of the candidate. By getting to know you and listening to what truly motivates you, we build lasting relationships and find our applicants jobs they love.

COMPANY SIZE
250 to 500 employees
INDUSTRY
Staffing/Employment Agencies
FOUNDED
1995
WEBSITE
https://www.atriumglobal.com