Senior Data Scientist Pricing
Schneider Electric
Warsaw MZ, PL
20 d. temu

Schneider Electric

is leading the Digital Transformation of Energy Management and Automation in Homes, Buildings, Data Centers, Infrastructure and Industries.

With global presence in over 100 countries, Schneider is the undisputable leader in Power Management Medium Voltage, Low Voltage and Secure Power, and in Automation Systems.

We provide integrated efficiency solutions, combining energy, automation and software.

We believe that and partners make Schneider a great company and that our commitment to Innovation, Diversity and Sustainability ensures that everywhere, for everyone and at every moment.

We are now looking for a

Senior Data Scientist Pricing

to be based in Warsaw, Poland. You’ll be part of a global, strategic and rapidly innovating team within Schneider Electric.

We build prescriptive models to empower key decisions across the globe. Analytics driven by our team is helping Schneider Electric to optimize sales, marketing & pricing decisions.

Major duties and responsibilities :

Support global pricing tool program with analytics expertise

Design the algorithmic solutions for pricing problems (eg. Price guidance, price elasticity modelling, list price optimization, discount optimization)

Define algorithm industrialization strategy for the pricing tool

Ensure algorithm scalability through many diverse markets

Own the model development lifecycle from pricing tool (from prototyping to industrialization)

Monitor model performance in pricing tool

Design with the team of architects & data experts the data model, ETL and APIs between pricing tool and other enterprise systems (eg.

Data Lake, ERPs, CRM)

Analyze market Solutions and proposing best fit for Country requirement as a back end or local module implementation (Brennus, Predictive Layer, H20, SKP..)

Run experiments with new vendors and / or develop in-house pricing algorithms to be deployed to pricing tool

Provide Ad’Hoc Advanced Analytics support for Pricing Tool Program

Create & deliver easily-consumable presentations to large groups of stakeholders and executives that showcase actionable insights and recommendations

Qualifications

Required qualifications and skills :

Min. 3 years of hands on experience in using advanced analytical techniques to solve practical problems from prototyping to business impact

Domain expertise in pricing and commercial analytics

University degree with focus on quantitative methods / econometrics / statistics / mathematics or related degree programs

Strong programming skills in R or Python

Deep understanding of machine learning and statistical methods with their underlying theory and math

Experience in providing the results of analyses in clear written form and presenting the findings to the audience

Experience with relational databases such as Oracle, SQL Server etc.

Experience with big data platforms - Hadoop(Hive, Pig, Map Reduce, HQL) / Spark / H2O, also with AWS platform (Redshift, S3, Athena etc.) will be a plus

Experience with data visualization tools (eg. Tableau) will be an asset

We offer :

Exciting job in an international company, which is the leader of energy management solutions with significant market share

Collaboration with cross-region teams.

Work in a diverse and supportive team of professionals. Do you want to get to know us better? Follow us on

Buddy, mentor & induction training - that will help you to smoothly find yourself in our company

Special training tailored to your needs and career goals

Opportunity to develop and grow through experience and exposure

Wide choice of benefits (sports card, lunch vouchers, medical care, life & group insurance, holidays & languages subsidiary)

No formal dress code - we welcome people as they are and perceive diversity as value for the company

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