Data Scientist (Regular / Mid) @ PSignite

Popis pozice

O pozici / o projektu

Původní popisek. CPGvision is a recognized leader in Trade Promotion Management (TPM), Trade Promotion Optimization (TPO), and Revenue Growth Management (RGM). Leveraging the power of the Salesforce platform, we enable consumer goods companies to achieve their RGM objectives through our fully integrated, user-friendly solution suite.

About the Team

Our Data Science team builds scalable machine learning models that power advanced analytics for the CPG and Retail industries. We help global brands optimize their pricing and promotional strategies by forecasting sales volume, measuring promotion effectiveness, and analyzing price elasticity of demand.

We are looking for a Regular/Mid Data Scientist to join us in developing and deploying analytical models, working with real market challenges and large-scale sales data.

Work Mode

Fully remote. On-site collaboration 2-3 days per quarter.

What We Offer

• ▪Choice of employment contract or B2B.
• ▪Fully remote work with quarterly on-site meetups (2-3 days).
• ▪Work with large, compelling analytical datasets and real impact on decisions of major corporations.
• ▪A structured research process from exploration through to production deployment.
• ▪Access to cloud computing infrastructure and a modern technology stack.
• ▪Opportunity to conduct independent research and publish results of scientific value.
• ▪Mentorship support.
• ▪Multisport card.
• ▪Private medical care.

PSignite invests in the development of its employees. We are committed and aspire to leverage the qualities and appreciate each person's unique competencies to bring to our company. We are an Equal Opportunity, Affirmative Action employer. Minorities, women, veterans, and individuals with disabilities are encouraged to apply.

Odpovědnosti

Původní popisek. • Predictive Modeling: Build and improve sales volume forecasting models using gradient boosting methods and regression techniques, including hyperparameter optimization.

• ▪Data Analysis & Feature Engineering: Explore and prepare data for modeling, including time-series feature creation, promotion and pricing analysis, outlier detection, and data quality assurance.
• ▪MLOps: Operationalize models and work within a production-grade ML pipeline leveraging cloud infrastructure.
• ▪Explainable AI (XAI): Collaborate with business teams to interpret and communicate model outputs, translating analytical results into actionable business insights.
• ▪Research: Test new hypotheses, evaluate alternative loss functions and algorithms, and explore improvements to existing modeling approaches. Pursue independent research topics with the opportunity to publish findings of novel scientific value.

Detail pracovní nabídky

• ▪Online nábor
• ▪Jazyk náboru: Polština
• ▪Ihned
• ▪Práce plně na dálku
• ▪Flexibilní pracovní doba

Metodika práce

• ▪Unit tests Reasonable coverage
• ▪Tester(s) 2
• ▪Agile management Kanban
• ▪Issue tracking tool Jira
• ▪Knowledge repository Confluence
• ▪Code reviews Bitbucket
• ▪Pair programming
• ▪Static code analysis Sonar
• ▪Version control system GIT

Výhody

• ▪Flexible employment contract
• ▪Good working atmosphere in a harmonious team
• ▪Cofinancing of Multisport card
• ▪Private medical care
• ▪Mezinárodní projekty

O firmě