(Senior) Data Scientist

vor 6 Monaten


BerlinKreuzberg, Deutschland Good Hood GmbH Vollzeit

**(Senior) Data Scientist (f/m/d)**

We are a fast growing social business. At Good Hood GmbH we help people feel at home in their neighbourhood. With our platform nebenan.de we enable people to connect and support each other in daily life so strangers become neighbours. We believe that by revitalizing neighbourhoods and encouraging exchange, shared activities and mutual assistance among neighbours we can contribute to a positive change in society towards a more humane, sustainable and secure living environment that offers a higher quality of life for everyone.

Join our excellent international team now as **(Senior) Data Scientist**.

**Your role with us**
- Spearhead the development of our data science strategy and define business needs in collaboration with stakeholders.
- Utilize advanced statistical techniques and machine learning algorithms to extract insights and patterns from large datasets.
- Design, develop, and implement predictive models to support decision-making and drive business outcomes.
- Perform data preprocessing, feature engineering, and exploratory data analysis.
- Develop a framework for content classification and prediction of content relevance for users and collaborate with software and machine learning engineers to deploy models into production environments.
- Communicate complex analytical findings and recommendations to both technical and non-technical stakeholders.
- Stay up-to-date with the latest trends and advancements in data science, machine learning, and artificial intelligence.
- Share knowledge with your team and take an active role in team professionalization.

**Your profile**
- You have a minimum of 4 years of relevant experience.
- You are driven by curiosity and willing to make a difference by providing insights that guide business decisions.
- You’re solution-oriented and a creative problem solver.
- You have a strong knowledge in statistical analysis and machine learning techniques.
- You have experience designing, developing and optimizing recommender systems.
- You’re proficient in SQL and have solid knowledge of programming languages (preferably Python), with experience in data wrangling/manipulation and modeling libraries.
- You can effectively communicate complex findings in a clear and concise manner using data visualization.
- You have excellent communication skills in English, both spoken and written.
- You have experience mentoring more junior team members or would like to do so.
- Experience in deploying machine learning algorithms to production environments and knowledge of infrastructure technology are a plus.

**What we offer**
- A meaningful job We create a great product with real social impact.
- Collaboration in a great, experienced and international team that exchanges ideas and learns from each other
- Insight into the entire work process of nebenan.de as well as the nebenan.de foundation
- Responsibility and great opportunities to get actively involved
- A flexible vacation policy - take as much vacation as you need. We also offer the option of a sabbatical.
- Your nebenan.de Spendit Card - per month you receive an additional income of 35 Euro, which you can use for things of your choice.
- A strength-based development culture (we work with the Gallup StrengthsFinder)
- A workplace in Berlin-Kreuzberg, in a cheerful team and regular events such as lunch & learn / yoga / back courses
- A company pension plan
- Flexible working hours and option to work from home part-time.

Diversity means collaboration - at nebenan.de we are happy about every dimension of diversity that enriches our team. We live equal opportunities and support them.

Art der Stelle: Vollzeit, Festanstellung

Arbeitszeiten:

- Montag bis Freitag

Flexible Sprachanforderungen:

- Keine Deutschkenntnisse erforderlich

Leistungen:

- Betriebliche Altersvorsorge
- Betriebsarzt
- Empfehlungsprogramm
- Flexible Arbeitszeiten
- Homeoffice-Möglichkeit
- Kostenlose Getränke
- Mitarbeiter-Rabatt
- Sabbatical
- Unbegrenzte Urlaubstage

Arbeitsort: Zum Teil im Homeoffice in 10997 Berlin-Kreuzberg


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