Senior Data Scientist 🔥
Our mission at Netguru is to help entrepreneurs and innovators shape the world through beautiful software. We care about trust, taking ownership, and transparency. As a Certified B Corporation®, we offer a safe, inclusive and productive environment for all team members, and we’re always open to feedback. If you want to work from home and be a full time employee, great! We want to create the right opportunities for you.
- Requirements: 2 years of experience in Data Science / Machine Learning, deep knowledge about data analytics, data manipulation, statistical analysis, experience in Python, proficiency of SQL and Git
- Paid days off: 20 days for B2B
- Perks & benefits: 1 000 PLN home office bonus, flextime and flexplace, Multisport card, private health insurance, discounts on Apple products, development budget, access to Worksmile Platform and more.
Joining Netguru as a Senior Data Scientist means:
- Using Data to discover relevant insights and build advanced models which are powerful in solving business optimization problems
- Refining, challenging, and supporting requests from stakeholders and creating new data analyses based on commonly defined specifications.
- Analyzing trends in client data and providing insights and explanations to their teams to improve their operations using data.
- Identifying use cases for Predictive and Prescriptive analytics, forming the scope, and discovering the optimal solution with statistical and machine learning methods
- Working in an experienced and knowledgeable team, in an Agile environment.
- Dev-friendly processes like Continuous Integration and Code Review.
- Continuous development of your hard and soft skills (e.g. at internal webinars, external conferences, meetups, etc.).
- Growing yourself and the people around you – you will give and receive regular feedback in a team of open-minded people that will always have your back.
- Ambitious and verified projects – our clients come from all over the world and from different industries.
- Enjoying flextime and flexplace – adjust your daily schedule to your individual needs, work from the office or from home.
- Working on the best equipment – we will provide you with a Macbook and additional accessories for your computer to make your work even more efficient and comfortable.
- A smooth start – your leader and mentor will support you along the way :)
Requirements
Ready to apply? This is what we are looking for:
- At least 2 years of proven experience in Data Science / Machine Learning
- Deep knowledge and understanding of different types of Data Analytics.
- Knowledge and proven commercial experience in:
- data manipulation (ETL, data wrangling, data preparation, feature engineering)
- statistical analysis (EDA, statistical inference)
- machine learning (classification, regression, time series, segmentation, recommender systems)
- Strong experience in Python and its data ecosystem (numpy, scipy, statsmodels, pandas, scikit-learn, matplotlib, seaborn, plotly).
- Proficiency of SQL, git.
- Ability to advise, negotiate, and be proactive in contact with stakeholders.
- Strong analytical skills and attention to detail; the ability to research and to derive insights from large amounts of data.
- Strong critical thinking and problem-solving abilities, questioning the status quo, and assertively striving to implement new solutions.
- Strong verbal and written communication and presentation skills.
- Very good command of written and spoken Polish and English required.
Benefits
Perks & benefits:
- Access to the WorkSmile platform offering benefits adapted to your preferences:
- Multisport card,
- Private health insurance package,
- Life insurance,
- And hundreds of other options to choose from 15 categories (shopping, leisure, travel, food, etc.)
- Support for your growth – a manager’s budget available for individual’s and team’s development initiatives,
- Discounts on Apple products,
- One-time 1000 PLN home office bonus,
- Home office equipment sharing option,
- Various internal initiatives: webinars, knowledge sharing sessions, internal conferences [1].