Senior Data Scientist (w/m/d)

As a Senior Data Scientist at Enpal, you will take on significant responsibilities, including understanding complex stakeholder requirements, developing impactful dashboards, and managing data-driven projects. You’ll also be tasked with cross-department program planning and execution in the data and business intelligence space. Your role involves collaborating closely with internal stakeholders and colleagues to facilitate data solutions that drive the company’s ambitious growth.

To excel as a Senior Data Scientist at Enpal, a successful candidate should possess a degree in Business Administration, Economics, Data Science, or a related quantitative field. You should have a minimum of two years of experience in positions such as Data Analyst or Business Intelligence Analyst, along with strong proficiency in SQL and experience with Python, Excel, and dashboarding tools like Tableau. Effective communication skills and a proactive attitude are essential to navigate this dynamic environment.

Enpal fosters an environment that encourages professional growth for its Senior Data Scientists. You’ll have the opportunity to engage in continuous learning through hands-on experiences with innovative projects, training sessions, and valuable feedback from a diverse team. Additionally, you’ll be part of a supportive community that values the insights and contributions of every team member, creating a collaborative atmosphere conducive to personal and professional development.

At Enpal, a Senior Data Scientist can expect a vibrant and inclusive work culture where collaboration flourishes. Our modern office in Berlin is designed to encourage creativity and teamwork, complete with game areas and relaxed meeting spots. We promote work-life balance through a hybrid work model, and regular team-building events help strengthen our bonds as we work toward our common goal of advancing green energy solutions.

Enpal distinguishes itself as a unique workplace for Senior Data Scientists with its commitment to sustainability and innovation. As Germany's first green unicorn, the company is at the forefront of the solar energy transition, providing you the chance to contribute meaningfully to climate change solutions. You’ll be working alongside a diverse group of talented professionals from various backgrounds, all driven by a shared mission to create renewable energy consciousness and accessibility across Europe.

When managing stakeholders, I prioritize clear communication and active listening. I start by understanding their specific needs and expectations. Building relationships based on trust is critical. I involve them in the data development process to ensure alignment and gather valuable insights, fostering collaboration that ultimately leads to successful project outcomes.

Absolutely! In my previous role, I led a project that aimed to optimize customer acquisition strategies. I analyzed data patterns and trends to provide actionable insights. I collaborated with sales and marketing teams to align our efforts. This initiative resulted in a significant increase in conversion rates and directly contributed to revenue growth.

For effective data visualization, I rely on tools like Tableau and Power BI to create intuitive dashboards. I focus on employing best practices, such as using simple color schemes, clear labels, and interactive elements. This ensures the data story is easily understood, empowering stakeholders to make informed decisions quickly.

I have extensive experience with SQL, using it for querying and managing large datasets. I am proficient in writing complex queries, optimizing database performance, and ensuring data integrity. My experience has enabled me to provide valuable insights through effective data manipulation, contributing to data-driven decision-making processes.

To ensure quality and accuracy, I implement thorough validation processes for data inputs and outputs. This includes cross-referencing data with multiple sources and conducting regular audits of my analyses. I also engage peer reviews to catch potential errors and gather diverse perspectives, which enhances overall accuracy and reliability.

Python is integral to my data analysis work due to its versatility and powerful libraries like Pandas and NumPy. I use it for data cleaning, manipulation, and predictive modeling. Its capabilities allow me to automate repetitive tasks and conduct in-depth analyses efficiently, leading to more streamlined workflows and impactful insights.

When facing tight deadlines, I prioritize tasks based on urgency and complexity. I break down projects into manageable segments and allocate time effectively to ensure timely delivery. Open communication with my team helps us stay aligned, and I am open to feedback, adjusting our strategy as needed to meet deadlines.

I embrace continuous learning by staying updated on industry trends through online courses, webinars, and reading latest publications. I actively participate in data science communities and collaborate with peers to share experiences. This commitment to growth allows me to enhance my skillset and apply cutting-edge techniques in my work.

Balancing technical skills and business understanding is essential in my role. I ensure my analyses align with business objectives by continuously engaging with stakeholders to comprehend their goals. This dual focus allows me to translate complex data findings into actionable insights that drive strategic decisions and maximize business impact.

When building dashboards, I start by identifying the key metrics and insights that stakeholders need. I prioritize a user-friendly design, incorporating interactive elements to enhance usability. I also gather feedback throughout the development process to ensure the final product effectively communicates the necessary information in a straightforward manner.