Mid/Senior Data Scientist

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bValue Fund

📍Remote - Worldwide

Job highlights

Summary

Join Dataplace, a Polish-Portuguese startup in geoanalytics and machine learning, as a Mid/Senior Data Scientist! We help major retail, media, FMCG, and banking companies make strategic business decisions using location data from millions of mobile users. You will work on large datasets, machine learning models, and spatial data within our SaaS products, client projects, and a large R&D project. Your responsibilities include model creation and maintenance, geospatial analysis, Python programming, Big Data processing, R&D contributions, documentation, and team support. Dataplace offers competitive salary, fully remote work, flexible hours, unlimited vacation, and opportunities for professional development.

Requirements

  • Experience (at least 3 years) in data science, including solving business problems based on data exploration and machine learning
  • Knowledge of methods for creating predictive models
  • Practical knowledge and skills in working with databases using SQL
  • Knowledge and experience in programming in Python
  • Knowledge of PySpark in the context of working with large datasets (on the Databricks platform)
  • Knowledge of econometrics and statistics
  • Ability to cooperate with clients to understand their needs and business correlations of the analyzed data
  • Ability to select methods and tools for data analysis, visualization, and presentation
  • Ability to expertly draw conclusions based on numbers and communicate them to the business
  • Independence, commitment and sense of responsibility for the analyses created
  • Knowledge of English allowing for fluent communication (spoken and written)

Responsibilities

  • Work with machine learning models – create, implement, and maintain machine learning models using linear and logistic regression algorithms, classification, decision trees, etc
  • Geospatial analytics – work with location-based data to identify dependencies and insights that will enrich clients' decision-making processes
  • Object-oriented programming in Python – develop and maintain our Location Intelligence platform
  • Work with Big Data – process large amounts of data using technology and tools such as PySpark, SQL, Databricks, AWS S3
  • Participation in R&D work – participate in research work on the development of our spatial data processing technology
  • Develop and maintain project documentation
  • Technical support for junior members of the Data Science team
  • Close cooperation with the Sales team – proposing analytical solutions, presenting recommendations, estimating resource requirements
  • Preparing and presenting the results of the analyses carried out, also through their visualization
  • Sporadic conducting of workshops for new and existing clients

Preferred Qualifications

  • Experience working with AWS
  • Ability to work on Snowflake
  • Experience working with spatial data

Benefits

  • Salary commensurate with experience – when applying, share your expectations with us. We prefer a B2B contract or employment contract
  • Work with people who like what they do and each other :)
  • Possibility of fully remote work – we work from Portugal, Vienna or Giżycko, but if you prefer to come to the office, we invite you to our Warsaw location
  • Flexible working hours – we catch up on statuses, define goals and deadlines, but you decide when you start and finish work (we jointly establish the rules)
  • Unlimited vacation – you take as much vacation as you want, it's important that we jointly deliver the tasks we agree on
  • Work on ML and Data Science projects for the largest companies in Poland
  • Work on an innovative location intelligence product, in whose development you will have a real part
  • Individually tailored benefits package; tell us what you expect and we will tell you what we can offer you
  • Possibility of continuous professional development – you choose which training is most needed for you

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