We are looking for a full-time

Data Scientist

Are you a Data Scientist with experience in Deep Learning and Machine Learning? Join us to innovate in existing and new ambitious ML projects.
You will act as a practical expert within our expanding Artificial Intelligence and Machine Learning (AI/ML) team. This is an excellent chance to feel the heartbeat of one of the largest and most data-driven online retailers on the US market, and make a direct impact on the company's success.

Primary Duties and Responsibilities:

  • Build pragmatic and statistically rigorous solutions for E-commerce customer-facing web and mobile applications by leveraging statistical and machine learning methodologies.
  • Work cross-functionally to define problem statements, collect data, and build ML models.
  • Build and maintain data-driven optimization models, experiments, forecasting algorithms, and machine learning models.
  • Leverage tools like Python and its existing ecosystem of libraries and frameworks for deep learning, machine learning, and data processing to drive efficient business's problem solving.
  • Contribute to existing projects covering different areas of expertise such as Recommender Systems, NLP, Time Series analysis, A/B testing, and others.
  • Work in a team with other experts to efficiently deliver business value.

Qualifications & Requirements:

  • Experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, A/B testing, anomaly detection, NLP, time series analysis.
  • Experience developing production-level ML products.
  • Data extraction, cleaning, analysis, and presentation of large datasets skills.
  • Good knowledge of Python.
  • Experience with scientific computing and analysis packages such as NumPy, SciPy, Pandas, Scikit-learn.
  • Proficiency in statistical methods such as forecasting, time series, hypothesis testing, classification, clustering, or regression analysis.
  • Data visualization skills with libraries such as Matplotlib, Plotly, or any other.
  • Knowledge of deep learning frameworks such as TensorFlow, Keras, or Jax.
  • Experience applying ML models in E-commerce business’s problem solving is a big plus.
  • Experience with databases such as BigQuery, SQL Server, MySQL is a big plus.
  • Advanced degree (Master's, PhD) in a quantitative field (e.g., Computer Science, Mathematics, Statistics, or similar), with experience in machine learning related work or research is considered a plus.
  • Strong written and verbal English language skills

We provide:

  • Agile culture, continuous improvement process
  • Friendly and highly-qualified colleagues
  • Challenging international projects
  • Competitive salary, yearly reviewed
  • Real possibilities of growth
  • Direct employment by Latvian company with full social-security, paid vacations & sick leaves
  • Flexible work schedule, option to combine work with studies
  • Remote Work possibilities
  • Excellent working conditions
  • Modern top-floor spacious office in Riga with large terrace
  • Lounge zone in the office with ping-pong, gaming console and other entertainment
  • Powerful hardware, best software/tools
  • Company paid office parking, bicycle parking available
  • Free snacks and variety of drinks in the office
  • Monthly company events
  • Large Summer & Winter parties
  • Potential business trips to USA
  • Learning and innovations - internal demos & trainings, individual mentorship
  • Ability to attend local & international conferences
  • Free Office Library and ability to order books
  • Premium Health insurance

Salary range: 2 500 - 4 500 EUR gross (before taxes)


Updated: 16.11.2021

Apply for position

If you would like to work in a great team with the latest technologies on really challenging international projects, we look forward to seeing your resume.

Contact Us

IntechSystems, SIA
Vienibas Gatve 109 - 6.1 (Sector A, 6th floor),
Riga, LV-1058
Latvia

Phone: +371 6747 12 77
Working hours: Mon-Fri, 10:00-19:00

Registration Number: 40103226777
VAT Number: LV40103226777
Bank: A/S "Swedbank"
SWIFT Code: HABALV22
Account: LV36HABA0551025128092

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