SPD Technology is a place where everyone knows how to develop awesome software, does that great, and wants to do that better. We write more than code, we create solutions with business needs in mind. We want to be a part of innovations. To make that, we’re ready to learn and gain new expertise.
28 вересня 2023

Senior Data Scientist/ML engineer (вакансія неактивна)

за кордоном

At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.

And now we are looking for a Senior Data Scientist/ML engineer to join us as part of our team.

About the project

Big international company whose main business is related to gift cards and their functioning: issuing and distribution of cards, processing of payments, exchanging, refilling, etc. It also operates with many other types of digital content like eGifts, incentive cards, promotions, rewards, etc. The company has several e-commerce sites and platforms that are helping to distribute the gift card products. Also, the company has a bunch of own core services that perform all the management of gift cards in the ecosystem.

Technical stack: AWS, Redshift, Python. Some ML related tools can be picked by engineer.

Processes: flexible schedule, avg 8 hours in a working day, with possible meetings between 5pm and 7pm.

Team: Distributed. Manager is in USA California.

As a qualified expert, You will

  • Working and professionally communicating with the customer’s team
  • Taking up responsibility for delivering major solution features
  • Participating in requirements gathering & clarification process, proposing optimal architecture strategies, leading the data architecture implementation
  • Building machine learning algorithms for solving business problems in E-commerce and Retail
  • Developing AWS machine learning infrastructure to support and maintain model serving and training
  • Analysis of data for patterns
  • Visualisation of data
  • Continuous learning

We’re looking for you if you have

  • 5+ years of experience in data science projects
  • Strong skills in applied mathematics and data analysis
  • Understanding of modern machine learning techniques and algorithms
  • Strong Python, SQL knowledge
  • Experience with Big Data Processing and data processing frameworks (Apache Spark, Hadoop etc)
  • Experience with model implementation and tuning using popular Machine Learning frameworks such as PyTorch, Keras, TensorFlow


  • English level: Upper-Intermediate or higher
  • Working location: outside Ukraine

Bonus Points

  • Experience with general DevOps practices and principles
  • Experience in building data pipelines on AWS cloud
  • Experience with SageMaker
  • Experience in fintech or retail domain
  • Having a Kaggle profile

Interview steps:

  1. Pre-Screening with the recruiter (30 min)
  2. Tech-Interview (up to 1.5 hours)
  3. Client Interview (up to 1 hour)

About SPD Technology

SPD Technology is a custom software product development and IT consulting company with extensive expertise in various industries, including fintech, e-commerce, logistics, insurance, biotech, cybersecurity, and more. Our world-class team of over 600 experts develop web, mobile, AI/ML, and enterprise solutions for world-renowned companies, including Fortune 500 firms and emerging startups. We have 4 development centers in Europe [Ukraine], a representative office in London, the U.K., and remote teams, working worldwide. With over 17 years of experience in designing, building, streamlining, and supporting software products, SPD Technology drives growth of businesses from the US, the U.K., Israel, Switzerland, Mexico, and other countries.

Embrace the opportunity to innovate with us!