Senior Data Scientist

Location: Dublin, County Dublin

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Are you eager gain new insights from analyzing company data? Are you passionate about using large data sets to find opportunities for product and process optimization? Are you a person who loves using models to test the effectiveness of different courses of action?
Look no further than EPAM where we live and breathe technology. Make your next career move with us!

What You’ll Do

  • Perform statistical analysis, hypothesis testing and experimentation
  • Conducting analysis and building predictive and ML models across a broad range of industries
  • Provide unique insights from large volumes of data
  • Create model pipelines for feature engineering, missing value treatment and/or outlier detection
  • Work with ML cloud technologies such as Sagemaker to automate training and monitoring of models
  • Writing high quality Python code according to PEP-8 guidelines
  • Tackle a large range of ML problems from: NLP, deep learning, computer vision, optimisation, risk/fraud, anomaly detection, demand forecasting
  • Tell stories back to the business through stunning data visualisation
  • Work in an agile environment
  • Work with version control systems
  • Provide hands-on leadership, coaching and mentoring to junior members of staff
  • Translate requirements and acceptance criteria into ML implementations
  • Provide estimates for ML activities

What You Have

  • 3+ years of experience working in a similar role
  • Strong academic background
  • Good programming skills in Python and SQL (other programming languages are a bonus, e.g. R, SAS, Julia)
  • Knowledge of Spark is a plus
  • Familiarity with one of the following: Microsoft Azure, AWS or GCP with specific knowledge of their ML functionality
  • Good understanding of the Data Science Life Cycle
  • Experience with a range of visualisations libraries (matplotlib, seaborn, plotly, bokeh)
  • Solid understanding of common statistical and ML techniques, both classical and deep learning
  • Speciality in one of: classification/regression (GBMs, SVMs, GLMs), forecasting, NLP, deep learning, optimisation
  • Experience with end-to-end ML systems in the cloud, including data processing, feature engineering and tuning of ML models in training and production, with both structured and unstructured data is a plus
  • Knowledge of industry specific third-party data (digital marketing, clickstream, consumer credit risk corporate and sovereign risk, etc.)
  • Understanding business requirements and ability to translate it to ML approaches
  • Ability to take initiative and lead engagements as required

We offer

  • Competitive compensation depending on experience and skills
  • Opportunity to work on leading edge platforms, working in a fast-paced, agile, software engineering culture
  • Knowledge-sharing with colleagues from EPAM's global tech communities
  • Unlimited access to LinkedIn learning solutions
  • Regular performance feedback and salary reviews
  • Opportunities for professional growth


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