Data Scientist

PURPOSE
A data scientist is a specialist who applies its expertise in statistics and building machine learning models to make predictions and answer key business questions. They focus on understanding, cleaning and analyzing data from the past and present perspectives and producing reliable predictions for the future.- KEY ACCOUNTABILITIES
Analytics
- Applies a range of mathematical, statistical, predictive modelling or machine-learning techniques in consultation with experts if appropriate, and with sensitivity to the limitations of the techniques.
- Selects, acquires and integrates data for analysis.
- Develops data hypotheses and methods, trains and evaluates analytics models, shares insights and findings and continues to iterate with additional data.
- Business Analysis
- Investigates operational needs and problems, and opportunities, contributing to the recommendation of improvements in automated and non-automated components of new or changed processes and organization.
- Assists in defining acceptance tests for these recommendations.
- Data Modelling and Design
- Applies data analysis, design, and modelling techniques to establish, modify or maintain a data structure and its associated components (entity descriptions, relationship descriptions,attribute definitions).
- Programming/software Development
- Designs, codes, verifies, tests, documents, amends and refactors moderately complex programs/scripts.
- Applies agreed standards and tools, to achieve a well-engineered result.
- Collaborates in reviews of work with others as appropriate.
- Data Visualization
- Applies a of variety visualization techniques and designs the content and appearance of data visuals.
- Operationalizes and automates activities for efficient and timely production of data visuals.
- Selects appropriate visualization approach from a range of applicable options.
- Contributes to exploration and experimentation in data visualization.
- Requirements Definition and Management
- Assists in the definition and management of requirements.
- "If required" Responsibilities
- Ensures appropriate leadership skills are present at every level through creating a motivational and supportive work environment in which employees are coached, trained and provided with career opportunities through development
- Allocates the different work to the respective employees considering experience, complexity, workload and organizational efficiency
- Continuously monitors and evaluates team workload and organizational efficiency with the support of IT systems, data and analysis and team feedback and makes appropriate changes to meet business needs.
- Provides team members/direct reports with clear direction and targets that are aligned with business needs and objectives
- KEY RELATIONSHIPS
- Global IT
- Respective business function (GOPS, Finance, HR, Brand Marketing, Wholesal/Retail)
- Digital
- Controlling
- KNOWLEDGE, SKILLS AND ABILITIES
- Four-year college or university degree with focus on Business Administration or IT or related areas, or equivalent combination of education and experience
- Proficient spoken and written command of English
- At least 5-year experience in IT
- 2 years of experience in relevant area
- 1 year of experience in team management
- Understanding of different culture
- Participated in projects with people from other functions/markets

AT ADIDAS WE HAVE A WINNING CULTURE. BUT TO WIN, PHYSICAL POWER IS NOT ENOUGH. JUST LIKE ATHLETES OUR EMPLOYEES NEED MENTAL STRENGTH IN THEIR GAME. WE FOSTER THE ATHLETE’S MINDSET THROUGH A SET OF BEHAVIORS THAT WE WANT TO ENABLE AND DEVELOP IN OUR PEOPLE AND THAT ARE AT THE CORE OF OUR UNIQUE COMPANY CULTURE: THIS IS HOW WE WIN WHILE PLAYING FAIR.

COURAGE: Speak up when you see an opportunity; step up when you see a need..

OWNERSHIP: Pick up the ball. Be proactive, take responsibility and follow-through.

INNOVATION: Elevate to win. Be curious, test and learn new and better ways of doing things.

TEAMPLAY: Win together. Work collaboratively and cultivate a shared mindset.

INTEGRITY: Play by the rules. Hold yourself and others accountable to our company’s standards.

RESPECT: Value all players. Display empathy, be inclusive and show dignity to all.

**ADIDAS CELEBRATES DIVERSITY, SUPPORTS INCLUSIVENESS AND ENCOURAGES INDIVIDUAL EXPRESSION IN OUR WORKPLACE. WE DO NOT TOLERATE THE HARASSMENT OR DISCRIMINATION TOWARD ANY OF OUR APPLICANTS OR EMPLOYEES. WE ARE AN EQUAL OPPORTUNITY EMPLOYER.**

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- JOB TITLE:
- Data Scientist (M/F/d)- BRAND:
- adidas- LOCATION:
- Herzogenaurach- TEAM:
- Digital- STATE:
- BY- COUNTRY/REGION:
- DE- CONTRACT TYPE:
- Full time- NUMBER:
- 510574- DATE:
- Apr 25, 2024