Data Scientist Compensation & Benefits in Bayern bei Siemens AG

Data Scientist (f/m/d) Compensation & Benefits in Bayern bei Siemens AG

Siemens AG

If you really want to make a difference – make it with us!

As a world leader in developing and producing the most advanced engineering technologies, we improve lives and further human achievements worldwide, while also protecting the climate - all thanks to our people. Working with us, you have the foundation to develop personally and professionally. We give you the chance to do something meaningful that benefits society. We give you the chance to make a difference. In this role you will be a part of our global Compensation and Benefits (CB) team, and you will work closely with CB experts on large, global initiatives.

We are seeking an experienced data scientist with specific expertise in compensation and benefits. You will be responsible for analyzing data by deploying various kinds of data analytics methods, models (e.g. predictive models, AI) and algorithms to extract and visualize relevant insights that support our global compensation initiatives and promote pay transparency across the organization. Additionally, you will also be responsible for driving standardizing of tools to enhance consistency and efficiency in compensation processes. You will also be delivering Market Intelligence (MI) compensation solutions to CB team, as well as providing support for a broad range of global and regional compensation activities.

You’ll make an impact.

In your role you particularly will:

Lead data science projects focused on compensation analytics and insights generation, including market intelligence
Conducts large-volume data exploration and identify relevant data sets and new relations in data
Develop and maintain predictive models to forecast compensation trends, analyze large datasets to provide actionable recommendations to the Compensation team
Develop analytic models, configure, and deploy algorithms, select optimal and standardized tools, and define visualization methods to display results
Determine sustainable processes to support fast growing data volumes, ensuring data quality, consistency, and seamless accessibility
Collaborate with cross-functional teams to design and implement data-driven compensation strategies
Ensure data integrity and accuracy in all compensation-related data analytics
Create and deliver presentations and reports to stakeholders, summarizing findings and recommendations
Stay updated with industry best practices and advancements in compensation analytics and tools

You'll win us over by:

Education: Master’s degree in Data Science, Computer Science, or a related field
Experience:

Overall experience of minimum 8 years in data science, ideally with focus on HR projects
Proven experience in statistical analysis, machine learning, and predictive modeling
Proficiency in data-science relevant programming languages such as Python and SQLT. Proven experience in data visualization and dashboarding tools such as Power BI and Tableau
Experience with cloud warehouses and analytics solutions such as Snowflake, dbt or Azure Machine Learning is a plus
Demonstrated ability to consult and partner with cross-functional teams to deeply understand their needs, objectives, and challenges
Utilize data-driven insights to craft compelling narratives that effectively communicate findings, inform decision-making, and solve business problems
Proficient in translating complex data into actionable recommendations and clear, impactful stories tailored to diverse audiences

Skills:

Excellent analytical, problem-solving, and critical thinking skills
Strong communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders
Ability to work independently and as part of a team, managing multiple projects and deadlines
Ability to work within a matrixed organization, across borders with cross-functional teams
Excellent attention to detail.
Proficiency in English is required; additional language such as German is a plus

You are much more than your qualifications, and we believe in the potential of every single candidate. We look forward to getting to know you!

Your individual personality and perspective are important to us. We create a working environment that reflects the diversity of the society and support you in your personal and professional development. Let’s get to know your authentic personality and create a better future together with us.

As an equal-opportunity employer we are happy to consider applications from individuals with disabilities.

You’ll benefit f