Data Scientists (m/f/d)
- Wilhelmstraße 18, 10963 Berlin, Germany
- Employees can work remotely
SmartRecruiters is a values-driven, global-minded, and well-funded tech employer on a mission to connect people to jobs at scale. As a global leader in enterprise recruitment software, SmartRecruiters offers a cloud-based global Hiring Success platform that allows teams to attract, select, and hire the best talent. 4,000 companies worldwide rely on SmartRecruiters to achieve hiring success—including brands like Bosch, LinkedIn, Skechers, and Visa—using recruitment marketing, CRM, AI, ATS, and a marketplace of 600+ connected vendors all within one scalable platform.
SmartRecruiters was recognized by Forbes as one of the Best Employers in 2020. We are proud to offer a collaborative, diverse, and remote-friendly work environment, as well as competitive salaries and generous equity. We believe in promotion from within, so high performance can lead to upward mobility. Needless to say, we make sure you’re taken care of. Our inclusive office environment welcomes and respects all.
We are looking for experienced Data Scientists to join our AI team that builds innovative, data-driven recruiting services. You’ll solve complex data science problems like predicting how well a candidate will fit a job. Working closely with dedicated software engineers, you’ll create classifiers and machine learning models to clean up and categorize raw data. It will be your responsibility to constantly analyse and experiment with prediction quality and find new ways to make sense of data to better support recruiting processes.
We partner and collaborate with R&D leaders, product managers, engineers, and business leaders to design and develop data-driven solutions that have the power to significantly change the way people find career opportunities, and how companies hire best talent.
We rely on collaborative, self-organizing teams and lean software development processes. We use a variety of tools and technologies to achieve this. Our products are used by a large number of customers and affect the experience of millions of job candidates.
As a key member of our team you’ll have a unique opportunity to help us achieve our goals using cutting-edge technology.
Lead data initiatives and foster a data culture, encourage and advocate for a team-wide data-first mindset by connecting data projects to business goals, teams, and stakeholders
Help develop product features that communicate actionable data insights to recruiters and candidates (Data Storytelling)
Conduct data investigations and exploratory data analysis for innovative products
Partner with R&D and Product Management, ensure SmartRecruiters stays ahead of the latest advances in Data Science (ML/NLP)
Define data formats in ElasticSearch indexes and write performant queries
Synthesize complex and diverse datasets, e.g. resumes, job description, user behaviour, industry data, etc, to build and improve product features
Support in planning data projects by providing technical guidance and facilitating smooth releases
Continuous improvement of existing systems by actively monitoring models in production
Master’s/PhD degree in Statistics, Applied Mathematics, Computer Science or a related field
Practical experience with relevant topics such as Data mining, Text/Natural Language Processing, Data Modelling, Exploratory Data analysis and Statistical Inference
Good proficiency in Python, including go-to libraries within Python tool stack (Numpy, Pandas, Scikit-Learn, Tensorflow)
Habit of writing clean, readable, well-organized, and well-tested code
Experience with ElasticSearch indexing and querying
Knowledge of statistical and machine learning approaches to NLP
Experience with Recommender Systems
Desire to work in a high-paced, agile development environment
Excellent communication skills in English
Ideally, experience with graph databases and the semantic web
Ideally, experience with Apache Spark and AWS EMR
SmartRecruiters is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.