Senior Data Scientist/ML engineer

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, Django. Some ML related tools can be picked by engineers.

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

Team: 7 Data scientists including Lead. Distributed between the USA and India. Tech lead is in India, Manager is in California.

As a qualified expert, You will

• Working and professionally communicating with the customer’s team
• Taking up responsibility for implementation and delivering of ML solutions
• Participating in requirements gathering & clarification process, proposing optimal architecture solutions, owning the implementation
• Building and tuning 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
• Visualization of data
• Continuous learning

We’re looking for you if you have

• Proficiency in ML development (feature engineering, algorithm selection, statistics)
• Experience in FinTech, E-Commerce or Retail domains
• Strong skills in applied mathematics, data analysis and statistics
• Understanding of modern machine learning techniques and algorithms
• Proficiency in Python and SQL
• Experience in building REST API applications
• Understanding of microservices architecture
• Experience with model implementation and tuning using popular Machine Learning frameworks such as PyTorch, Keras, TensorFlow

also

• English level: Upper-Intermediate or higher
• Working location: outside Ukraine
• Online availability overlap with US Pacific time zone till 12:00 PST

Bonus Points

• Experience working with Fraud prevention or Risk modeling
• Experience with Big Data Processing frameworks (Apache Spark, Hadoop etc)
• Experience with Django framework
• Experience with AWS cloud
• Having a Kaggle profile

Interview steps:

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

What’s in it for You

Reveal great tech solutions

Join the team of individuals who care about what they do and how they do it and are accountable for the result and high performance. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions.

Experience an agile and flexible working environment

Work fully remote or from our office hubs or in a hybrid work model. Enjoy 20 business days of paid vacation, unlimited sick leave, 4 days of emergency leave.

Feel cared about

Prioritize your well-being with a medical insurance yearly budget / financial reimbursement of expenses on medical services outside Ukraine. Get compensation for sports, equipment, massage, and rehabilitation, along with access to our well-being program, corporate loan, and tax and legal support.

Embrace the opportunity for personal and professional growth

Take advantage of individual learning and certification budget, career paths and personal development plans, company-wide tech and cultural events, educational leave, language courses, access to our corporate library, and more.