RRemoteville

How Remoteville checks and expires listings

Siemens Digital Industries Software logoSiemens Digital Industries Software

Data Scientist

Skills
Campaign EffectivenessContent Management SystemsData CleaningData ScienceGitMarketing Campaign EffectivenessPython
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Minimum 3+ years of experience as a Data Scientist with a proven track record of success in a SaaS or web analytics environment
  • Deep understanding of web analytics tools (tag managers analytics platforms) and web data collection methods (JavaScript cookies etc.)
  • Strong proficiency in Python programming and Git version control
  • In-depth knowledge of Content Management Systems (CMS) like WordPress and Contentful
  • Solid understanding of regression analysis and other statistical methods
  • Experience with Snowflake data warehousing is a plus
  • Experience with AI/Machine Learning frameworks (e.g. Langchain) is a strong plus
  • Excellent communication and collaboration skills with the ability to explain technical concepts to non-technical audiences
  • Adaptable and eager to learn new tools and technologies
  • A results-oriented approach with a strong work ethic and a passion for innovation

Nice to have

  • Experience with Snowflake
  • Experience with AI/ML frameworks

Day to day

  • Standardize practices for functional AI implementation in DAA at Siemens to support SaaS
  • Leverage your expertise in web analytics and SaaS product ecosystems to extract meaningful insights from user behavior data
  • Conduct in-depth analysis using industry-standard tools and techniques to understand customer journeys identify trends and measure marketing campaign effectiveness
  • Experiment with cutting-edge AI technologies (Langchain for generative AI) to explore new marketing possibilities and develop data-driven recommendations
  • Develop and lead proof-of-concept (POC) projects to evaluate the feasibility and of new AI-powered marketing initiatives
  • Collaborate with cross-functional teams (Marketing Product) to translate data insights into actionable strategies and optimize the overall SaaS user experience
  • Develop and maintain robust data pipelines using tools like Snowflake and ELT/ETL processes
  • Ensure data integrity and accuracy through meticulous data cleaning and quality checks
  • Effectively communicate complex data findings and recommendations to both technical and non-technical stakeholders

Hiring process

  • Complete the application form
  • Support available from AskHR team if needed