We are seeking a skilled and motivated Data Scientist with expertise in Databricks to join our dynamic Adastra team - Join the people who see data in everything!
- You will be responsible for designing and implementing automated tools for collecting and transferring data from multiple source systems to the Azure cloud platform, supporting Databricks analytics and machine learning models.
- Our primary clients are international companies including Banking, Telecommunications, Consumer Financing, Automotive and others.
- You will be working on design and development of large-scale data processing and analysis projects and consulting the customers of Adastra.
- The job will offer you opportunities to participate in wide variety of international projects.
- We are looking for people who share with us the passion that working with data and people is fun and a “mission”, not a “job”.
Please note that this position is open only to applicant in Slovakia, Czechia and Ukraine.
Status: Employee contract (3000 EUR brutto) or B2B Contract. Salary expectation depends on the seniority level and we are open to speak about it.
Key Responsibilities
- Perform large-scale data analysis, exploratory data analysis (EDA), and statistical modeling using Databricks to uncover trends, insights, and patterns.
- Create and implement custom data analysis workflows using PySpark or SQL within Databricks.
- Fine-tune, validate, and optimize machine learning models using Databricks MLFlow for model versioning and management.
- Collaborate with data engineers to design and optimize data pipelines and architectures using Databricks, Spark, Delta Lake, and other cloud services
Required skills
- 3+ years of experience as Data Scientist or closely related role.
- Expertise in Databricks: Handson experience with Databricks platform, including Spark, Delta Lake, MLFlow, and Databricks Notebooks.
- Programming: Proficiency in PySpark, Python, SQL, and/or Scala for data manipulation, modeling, and pipeline development.
- Cloud Platforms: Familiarity with cloud technologies like AWS, Azure, or Google Cloud (preferably Databricks on one or more cloud providers).
- Machine Learning: Proven experience with machine learning algorithms (e.g., regression, classification, clustering, NLP) and tools like scikit-learn, TensorFlow, or PyTorch.
- Data Processing: Experience with distributed computing and big data technologies such as Apache Spark, Hadoop, etc.
- Prediction modelling: Hands-on experience developing, validating, and optimizing predictive models.
- Database Skills: Knowledge of relational databases (SQL Server, MySQL, PostgreSQL)
- Demonstrated experience working with banking or financial services data
- Analytical thinking, well organized, consulting spirit, willingness to learn
Employee perks, benefits
You will have an immense opportunity and our support to grow professionally, working on leading data analytics projects and technologies.
You will work in an environment which will stand behind you, support you in your growth, and which will value your work through competitive salary.
Information about the selection process
We look forward to working with you, and you becoming an Adastran! In case of interest, do not hesitate to send us your Curriculum Vitae in English language. We will contact only candidates who match the profile we are looking for. Thank you for your understanding!
