- Lead the development of graph-based technical solutions by developing and implementing algorithms and methodologies to extract insights from complex networks and interconnected data sources
- Development of prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets
- Contribute to product features like offers, personalization, and recommender by analyzing complex data sets and developing algorithms to produce results that increase customer engagement
- Drive innovation by exploring new experimentation methods and data analytics techniques that could sharpen or speed up product decision-making processes
- Develop and deploy testing hypotheses and analyze test results, providing the necessary analytical rigor to ensure data quality, consistency, repeatability, and accuracy of insightsCross-trains other team members on technologies being developed, while also continuously learning new technologies from other team members
- Interacts with engineering teams and ensures that solutions meet customer requirements in terms of functionality, performance, availability, scalability, and reliability
- 5+ years of experience as a Data Scientist/ML Engineer/Data Engineer/Big Data Developer with a proven track record of leveraging analytics to drive significant business impact2+ years contributing to production deployments of large backend data processing and analysis systems
- Expertise in Graph-based Learning Techniques
- Experience with Graphene (graphene-python) – GraphQL framework for Python
- Experience in Machine Learning (. regression and classification algorithms such as random forest, boosting)
- Deep Learning techniques
- Hands-on experience coding in Python with solid CS fundamentals including data structure and algorithm design
- High proficiency with Python libraries (Pandas, NumPy, scikit-learn, PyTorch)
- Experience in processing and analyzing big data setsHands-on implementation experience working with Spark (PySpark, Spark ML)
- Previous background with cloud data platform AWS (AWS Sage Maker, AWS Glue)
- Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
- BSc or equivalent in Mathematics, Statistics, Computer Science, Economics, or another related field
- Experience in Web AdsExperience in TelecommunicationsUse of ML in Digital Marketing
- Fluent English – spoken and written
- German knowledge (is a plus)
- Collaborative, willing to help, talkative, able to clearly express and discuss ideas
- Curious mind and willingness to work with client in consultative manner to find areas to improve
- Good analytical skills
- Good team player, motivated to develop and solve complex tasks
- Self-motivated, self-disciplined and result-oriented
- Strong attention to details and accuracy
- Care: your mental and physical health is our priority. We ensure comprehensive company-paid medical insurance, life insurance and Multisport card
- Tailored education path: boost your skills and knowledge with our regular internal events (meetups, conferences, workshops), Udemy license, language courses and company-paid certifications
- Growth environment: share your experience and level up your expertise with a community of skilled professionals, locally and globally
- Flexibility: Own your schedule – you are the one to decide when to start your working day. Just don't miss your regular team stand-up
- Opportunities: we value our specialists and always find the best options for them. Our Internal Mobility Program helps change a project if needed to help you grow, excel professionally and fulfill your potential
- Global impact: work on large-scale projects that redefine industries with international and fast-growing clients
- Welcoming environment: feel empowered with a friendly team, open-door policy, informal atmosphere within the company and regular team-building events
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Lead Data Scientist - Gdańsk, Polska - Ciklum
Opis
Description
Ciklum is looking for a Lead Data Scientist to join our team full-time.
We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.
About the role:
As a Lead Data Scientist, you'll become a part of a development team working for our client, who is focused on data-driven solutions in the advertising industry and develops technical solution to efficiently address target groups with first-class target group segments and intelligent solutions for retargeting and new client acquisition.
Responsibilities
Requirements
Desirable
Personal skills
What's in it for you