Senior Data Scientist

About The Role

As a Senior Data Scientist, you will play a key role in transforming data into actionable insights and driving strategic decision‑making. You will use advanced analytics techniques — statistical modelling, machine learning, and data mining — to extract value from large, complex datasets. Working closely with cross‑functional teams, you will design and implement data‑driven solutions that optimise processes, improve customer experiences, and contribute to company growth.

About The Role

As a Senior Data Scientist, you will play a key role in transforming data into actionable insights and driving strategic decision‑making. You will use advanced analytics techniques — statistical modelling, machine learning, and data mining — to extract value from large, complex datasets. Working closely with cross‑functional teams, you will design and implement data‑driven solutions that optimise processes, improve customer experiences, and contribute to company growth.

Key responsibilities

• Model development & analysis: Build and refine predictive models, machine-learning algorithms, and statistical analyses to address business challenges.

• Data exploration & cleaning: Collect, preprocess, and analyze large datasets from multiple sources to identify trends, patterns, and anomalies.

• Collaboration: Partner with product managers, engineers, and stakeholders to identify opportunities for leveraging data to drive business solutions.

• Data visualization & reporting: Present findings via compelling visualisations and dashboards to both technical and non-technical audiences.

• Continuous improvement: Stay updated on the latest data-science methodologies, tools, and best practices. Proactively recommend improvements.

• Mentorship: Provide technical guidance and mentorship to junior data scientists and analysts, fostering a collaborative environment.

Requirements

Education & experience

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. PhD is a plus.

• 5+ years of experience in a data science, analytics, or related role.

Technical skills

• Proficiency in programming languages such as Python or R.

• Solid understanding of statistical modelling, machine-learning algorithms, and data-mining techniques.

• Experience with data visualization tools (e.g., Tableau, Power BI) and cloud platforms (AWS, Azure, GCP).

• Familiarity with database technologies (SQL, NoSQL) and data warehousing.

Analytical & problem-solving

• Excellent quantitative skills to analyse complex datasets and develop actionable insights.

• Strong ability to break down complex problems into clear, logical steps.

Communication & collaboration

• Proven ability to communicate technical concepts effectively to non-technical stakeholders.

• Experience working in cross-functional teams and managing multiple priorities in a fast-paced environment.

Leadership

• Prior experience leading data-science projects or mentoring junior team members.

• Demonstrated ability to drive innovation, set team goals, and influence strategic initiatives.

About Perspix.ai

Perspix.ai is a Karlsruhe-based AI company specializing in tailor‑made AI solutions. Our focus is to create systems that process requirement documents and data more efficiently, transparently, and sustainably. We rely on cutting‑edge technology and a deep understanding of our customers' challenges to deliver smart automation and analysis tools — simplifying complex processes and helping businesses operate in a resource‑conserving, future‑oriented way.

At Perspix.ai, we strive to make AI tangible for organisations of any size, so they can benefit from data-driven insight and thrive in an increasingly digital world.