Intern/WS - Product Data Science

Job Description:

We're (COMPANY NAME), the global leader in Process Mining technology and one of the world's fastest-growing SaaS firms. We believe there is a massive opportunity to unlock productivity by placing data and intelligence at the core of business processes - and for that, we need you to join us.
The Team:
As a member of the Engineering organization, the Product Analytics & Data Sciences team provides analytic support and a strategic perspective to the product and engineering teams to enable them to make evidence-based conclusions. We deliver actionable insights by collecting, organizing, and interpreting data about user journeys, product telemetry, incidents, infrastructure utilization, sales motions, and much more. We transform data into analytic assets by conducting exploratory analysis, identifying outliers, validating hypotheses, building statistical models, quantifying risk; communicating findings through well-crafted stories and critical recommendations.
The Role:

As an Intern/Working Student in the Product Analytics & Data Sciences team, you'll be a valuable support in analyzing data for decision-making in a hyper-growth environment. You'll work closely with engineers and product team members to understand business challenges and assist in creating data solutions.
The work you'll do:
* Analyze data and provide insights primarily to product and engineering teams
* Present analytical findings in a clear and compelling manner to stakeholders across the organization.
* Create visualizations and written narratives to effectively communicate quantitative insights and facilitate discussions with data-informed perspectives
* Apply statistical analysis, modeling, and machine learning techniques to various product & business data sets to support resource optimization, feature enhancement, and product adoption initiatives.
* Collaborate with data engineering teams to to build pipelines
* Actively participate in refining data engineering processes to ensure data accuracy, consistency, and integrity
The qualifications you need:
* Currently pursuing a Master's degree in Mathematics, Computer Science, or Data Science
* Seeking an internship with a focus on Product Analytics Engineering or Data Science, collaborating with product, engineering, or growth teams
* Basic proficiency in analytical tools (SQL, Python, Pandas) for data extraction, visualization, and analysis
* Developing understanding of statistical techniques and machine learning concepts.
* Eagerness to gain experience with large datasets and predictive modeling
* Goal-oriented with a keen ability to make decisions and prioritize tasks to meet deadlines.
* Strong written and verbal communication skills in English, demonstrating attention to detail.
* Enthusiastic about contributing to a dynamic, fast-paced environment within a growing organization, working with diverse international teams
* First three months full-time availability (internship) and following months 20h/week (working student)

What (COMPANY NAME) can offer you:
* The unique opportunity to work with industry-leading process mining technology
* Investment in your personal growth and skill development (clear career paths, internal mobility opportunities, L&D platform, mentorships, and more)
* Great compensation and benefits packages (equity (restricted stock units), life insurance, time off, generous leave for new parents from day one, and more)
* Physical and mental well-being support (subsidized gym membership, access to counseling, virtual events on well-being topics, and more)
* A global and growing team of Celonauts from diverse backgrounds to learn from and work with
* An open-minded culture with innovative, autonomous teams
* Business Resource Groups to help you feel connected, valued and seen (Black@(COMPANY NAME), Women@(COMPANY NAME), Parents@(COMPANY NAME), Pride@(COMPANY NAME), Resilience@(COMPANY NAME), and more)
* A clear set of company values that guide everything we do: Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future
About Us
Since 2011, (COMPANY NAME) has helped thousands of the world's largest and most valued companies deliver immediate cash impact, radically improve customer experience and reduce carbon emissions. Its Process Intelligence platform uses industry-leading process mining technology and AI to present companies with a living digital twin of their end-to-end processes. For the first time, everyone in an organisation has a common language about how the business works, visibility into where value is hidden and the ability to capture it. (COMPANY NAME) is headquartered in Munich (Germany) and New York (USA) and has more than 20 offices worldwide.
Join us as we make processes work for people, companies and the planet.

(COMPANY NAME) is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Different makes us better.
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