Lead Data Science Consultant

Centric Software

. Grow the data science consulting team from four people to ten over the next year .

Posted 11/11/2026full-timeRemote • Germany, PortugalSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in data science with a strong focus on customer-facing roles, project leadership, and team development. Proficient in classical machine learning, statistical modeling, and programming with Python and SQL, while effectively communicating analytical results to diverse stakeholders.

Highest-signal resume keywords

8+ Years Data Science ExperienceTeam LeadershipClassical Machine LearningExcellent SQLPython Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical ModelingTime Series AnalysisSupervised LearningA/B TestingData AnalysisProject ScopingRisk ManagementGenerative AI ApplicationsBig Data EnvironmentsPandas

Soft Skills

Excellent CommunicationFeedback DevelopmentCustomer Project Leadership

Tools & Technologies

PythonSQLPandasNumPyStatsmodelsPySpark

Industry Keywords

RetailFashionConsumer ProductsPricingBehavioral Price Effects

Tech Stack

Tools & technologies

NumpyPandasPySparkPythonSQL

About the role

Key responsibilities & impact

Grow the data science consulting team from four people to ten over the next year
Set hiring standards and develop consultants through regular feedback, growth paths, and technical standards
Decide how projects are staffed, how knowledge is shared, and how quality is checked
Act as the senior technical counterpart for customers from onboarding through production
Translate business processes and commercial questions into modeling approaches
Explain analytical results in language planners and buyers can use
Lead difficult customer projects when needed
Own forecasting, pricing, and inventory models using time series, statistical modeling, supervised learning, and optimization
Determine appropriate applications for Generative AI in customer onboarding and unfamiliar data mapping/linking
Distinguish proven methods from experiments and establish technical clarity for the team
Partner with Product, Engineering, and Implementation on solution requirements
Feed evidence from customer projects into the product roadmap
Design and analyze A/B tests to resolve open questions with data

Requirements

What you’ll need

8+ years of hands-on data science work, including substantial customer-facing experience
Experience leading people or projects, such as a team lead, chapter lead, or sustained project lead
Strong grounding in classical machine learning and statistics
Excellent SQL
Solid Python, including Pandas, NumPy, and Statsmodels or equivalent
Ability to scope projects, estimate effort, maintain timelines, and flag risks early
Excellent communication in English
Degree in mathematics, statistics, computer science, physics, economics, or a related field
Experience in retail, fashion, or consumer products
Practical work with LLMs beyond prompting, such as retrieval, evaluation, or agentic workflows in production
Experience with big data environments such as PySpark
Familiarity with pricing or behavioral price effects
Additional languages beyond English

Benefits

Comp & perks

Remote/home-based work arrangement
Travel once or twice a year, usually when a customer is within a couple of hours of where you live
Competitive salary and benefits
Global team with deep expertise in planning, pricing, and inventory optimization