Data Science & Machine Learning Engineer (f/m/d) // HeyJobs at HeyJobsPosted on: 06/29/2021
Location: Berlin, Germany (ON-SITE)
Would you like to use your skills to help non-academic talent to have the same career opportunities you have? **Join the Heyvolution!** We use a rich data set we collect along the hiring processes of many companies & machine-learning technologies to connect people to their next job. On the other side, with the HeyJobs platform, we enable recruiters - our customers - who are desperately looking for talent, to get their open positions filled quickly with perfectly matching candidates. With more than 1700 customers and a team of 135+, our vision is to become the trustworthy career advisor for talent in Europe - making exhausting and non-transparent application processes a thing of the past. **Your role:** * You bring technical and scientific impact to our Budget and Recommendations (BAR) team. * Direct business impact: Our budget and recommendations products are key components of the core value creation process at HeyJobs; a strong delivery by the BAR team is critical for our success. * End to end responsibility: You will be in charge of designing, prototyping, deploying and maintaining data science / machine learning solutions for our marketing optimization processes but also further areas of the growing business. * The role reflects a wide scope. It encompasses the entirety of the DS/ML life cycle: from data gathering and exploratory analysis, to training and evaluating models, to deployment and monitoring. * Aside from marketing optimization, upcoming projects include recommender systems, information extraction and enrichment using NLP and more. * In your role, you will report directly to the teamlead DS/ML. **You have:** * A degree in Data Science, Machine Learning, Computer Science, Mathematics, Physics or a related field * 3+ years experience in developing, deploying and maintaining Machine Learning applications * A good understanding of the concepts and statistics behind Machine Learning algorithms * Solid Python software engineering skills, including best practices like CI/CD and Git * Proven experience in contributing to data science teams in industry: you have successfully solved business problems through data-driven solutions - from conception to production (solving machine learning cases for Kaggle or academia is not enough**)** * Experience conducting exploratory data analysis, descriptive or prescriptive analytics * Exposure to cloud technologies for modern on-demand data science (we use AWS) * Strong communication skills: you are good at explaining your choices, enjoy collaborating, and present ideas in a clear and structured manner * A hands-on mindset, willingness to propose new ideas and take ownership * Strong analytical and problem-solving skills with an eye for detail * The ability to work self-organized in an agile environment * Fluency in English **Bonus:** * Experience in algorithmic marketing * Experience with AWS * Experience with Docker and Airflow * Experience with modern NLP techniques **You will** * Contribute to the research and development of machine-learning-powered solutions in the scope of marketing mix optimization, recommendation engines and data enrichment * Collaborate with other data scientists and data engineers on the full conception to production lifecycle * Enjoy constantly learning and growing with us **Why Heyjobs?** * **Great product with purpose: To help people get the right job to live a fulfilling life. Learn more here.** * **Welcoming company culture:** Our values - Teamwork, Entrepreneurship, Drive - are integrated in all areas of our organization and build the core for a respectful and people-focused culture. Learn more. * **Diverse Team:** 23 different nationalities, 47% women (50% women in leadership), 38% of employees working in tech, LGBT+ champion * **Modern technology stack:** Check out our Stack. * **High-quality equipment:** Electric standing desk, MacBook of choice, etc. * **Career development:** Clear 7-step career path supported by In-house trainings and personal development budget for external trainings/conferences * **Secure Job: Over 1’000 large clients, proven business model & over 20M€ financing** * **Work-Life Balance:** Flexible working hours, paid sabbaticals, several weeks/year full remote work, 3 home/remote days/week * **Perks & Benefits:** Mila Health, weekly team lunch, annual company retreat, sports membership, employee stock options, fresh fruit & great drinks and much more * **Great Office:** Air-conditioned office in Berlin-Kreuzberg, Paul-Lincke Ufer - great lunch options and food markets * **Relocation Package:** we will support your relocation financially and with practical organisation to make you feel at home soon **Want to know more about us?** We are proud to have been continuously ranked as one of Berlin's best tech employers! See for yourself: Top Tech Employer in Berlin, Kununu, Glassdoor, Top 25 LinkedIn Startups. Check out our blog, LinkedIn, or our tech blog to find out more about us.