Data Scientist (f/m/d)

Nitcservices; Berlin; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

think-cell, a Berlin-based innovator since 2002, develops powerful software solutions that streamline productivity for professionals worldwide. Our tools integrate with Microsoft Office, empowering users to create impactful presentations, charts, and diagrams with ease.

We are a dynamic, international team that thrives on creativity, collaboration, and technical excellence, committed to fostering an environment where innovation truly makes a difference.

Qualifikationen

• Proactive and results-oriented mindset with ability to identify opportunities and drive impact.
• Ability to translate complex business/product challenges into structured data science problems.
• Experience owning end-to-end data science solutions from concept to deployment.
• Proficiency in predictive/diagnostic modeling and extracting insights from diverse data.
• Strong analyses design to uncover drivers, validate assumptions, quantify uncertainties.
• Experience creating/managing reusable analytical assets (models, features, evaluation frameworks).
• Exceptional collaboration and communication with cross-functional teams (Product, Marketing, Commercial).
• Desire to work in autonomous, high-trust environments with senior peers.

Aufgaben

• Translate complex product and business questions into structured analytical, statistical, and machine-learning approaches.
• Develop predictive and diagnostic models and derive robust signals from customer, product, and behavioral data.
• Own solutions end to end - from outcome definition, feature engineering, and validation to operationalization, monitoring, and continuous improvement.
• Design analyses that identify meaningful drivers, test assumptions, and quantify uncertainty.
• Create reusable analytical assets, including models, scores, features, and evaluation frameworks.
• Partner with Product, Marketing, Commercial, and other teams to turn complex questions into actionable insights.

Kenntnisse

Translate problems to analytics

End-to-end data science

Collaborative skills

Data-driven action

Reusable analytical assets

Jobbeschreibung

Data Scientist (f/m/d)

Company

Think Cell

Location

Global

Type

Full-time

Commensurate with experience

Who are we looking for?

• Experience in translating complex business questions into analytical/ML approaches


• Proven ability to develop


• own


• and improve end-to-end data science solutions


• Proactive mindset for identifying opportunities and driving data-driven action


• Strong collaboration skills with cross-functional teams


• A track record of creating reusable analytical assets

Data Scientist (f/m/d) at think-cell

Professional Overview

Join think-cell, a Berlin-based innovator since 2002, where we develop powerful software solutions that streamline productivity for professionals worldwide. Our tools seamlessly integrate with Microsoft Office, empowering users to create impactful presentations, charts, and diagrams with ease. We are a dynamic, international team that thrives on creativity, collaboration, and technical excellence, committed to fostering an environment where innovation truly makes a difference.

We're seeking a proactive and experienced Data Scientist to join our unique Data Team. Operating like a scaleup within a well-established company, our team offers unparalleled ownership, swift decision-making paths, and ample room to shape impactful solutions without corporate bureaucracy, yet with the resources of a mature business. This role is ideal for senior individual contributors who value autonomy, constructive challenge, and close collaboration with peers across technical and business domains.

As a Data Scientist at think-cell, you won't just analyze data; you will drive strategic outcomes. You will be instrumental in identifying critical gaps, inefficiencies, and opportunities, building foundational analytical frameworks, and ensuring that stakeholders not only receive insights but are fully equipped to act upon them. This is an environment built on trust, offering significant learning opportunities from seasoned experts and the chance to truly influence product and business strategy.

Key Responsibilities

• Translate complex product and business questions into structured analytical, statistical, and machine-learning approaches.


• Develop predictive and diagnostic models and derive robust signals from customer, product, and behavioral data.


• Own solutions end to end - from outcome definition, feature engineering, and validation to operationalization, monitoring, and continuous improvement.


• Design analyses that identify meaningful drivers, test assumptions, and quantify uncertainty.


• Create reusable analytical assets, including models, scores, features, and evaluation frameworks.


• Partner with Product, Marketing, Commercial, and other teams to turn complex

Eligibility & Requirements

While specific technical requirements are not detailed in this snippet, the ideal candidate for this senior role will possess:

• A proactive and results-oriented mindset, keen to identify opportunities and drive measurable impact.


• Demonstrated ability to translate complex business and product challenges into structured data science problems.


• Extensive experience in developing and owning end-to-end data science solutions, from initial concept to operationalization and continuous improvement.


• Proficiency in developing predictive and diagnostic models and extracting robust insights from diverse datasets.


• A strong track record of designing sophisticated analyses to uncover key drivers, validate assumptions, and quantify uncertainties.


• Experience in creating and maintaining reusable analytical assets (e.g., models, features, evaluation frameworks).


• Exceptional collaboration and communication skills, with the ability to partner effectively with cross-functional teams (Product, Marketing, Commercial).


• A desire to work in an autonomous, high-trust environment, learning from and constructively challenging experienced peers.