As a Senior Data Scientist, you will design and deploy machine learning models, drive ML experiments, optimize data processes, and collaborate with engineering teams on data architecture.
About airSlate
airSlate is a global SaaS technology company that develops no-code workflow automation, electronic signature, and document management solutions. Our award-winning products - SignNow, pdfFiller, DocHub, airSlate WorkFlow, Instapage, and US Legal Forms - serve over hundreds of millions of users and more than one million customers worldwide, helping organizations of every size digitize processes, improve efficiency, and transform how they work.
We’re in an exciting phase of growth and transformation, with teammates in more than 20 countries across three continents and main hubs in the United States, Poland, Romania, Ukraine and Philippines.
At airSlate, we’re building value for customers and a culture where growth and innovation go hand in hand. We’re looking for people eager to shape products, scale a company, and thrive in a fast-moving environment.
About Machine Learning Team:
We're passionate about AI and its potential. Data is crucial to our journey, driving our AI and ML efforts. We're seeking a talented Senior Data Scientist to join us and help us become self-reliant in our AI endeavors. This role offers a unique opportunity to dive into the heart of AI development, a crucial focus for our company's growth.
As a Senior Data Scientist, you will work with modern machine learning approaches, contribute to building scalable data and ML processes, and solve big data challenges that directly influence product strategy and business outcomes.
Seize this opportunity to drive the future of data architecture and make an impact that resonates across our organization!
Responsibilities:
- Take part in the design, development, and deployment of machine learning models using advanced statistical, predictive, and deep learning techniques.
- Drive hands-on ML experimentation, feature engineering, modeling, and model optimization using Python and major ML libraries (scikit-learn, pandas, NumPy, PyTorch)
- Build and optimize ETL/ELT processes, ensuring data quality, lineage, and reliability.
- Use AWS services for ML development and data analysis
- Write advanced SQL queries to support data preparation, feature development, diagnostics, and validation activities.
- Collaborate with engineering teams on data architecture and pipeline enhancements.
- Take part in the development of data processes, workflows, and pipelines, ensuring they are standardized, scalable, governed, and aligned with organizational best practices.
Requirements
- 6+ years in Data Science or Machine Learning
- Good knowledge of Python for analytics, ML, and automation.
- Strong understanding of machine learning algorithms, statistical modeling, feature engineering, and model optimization.
- Strong understanding of Big Data fundamentals
- A solid foundational understanding of AI/LLM models (such as BERT, GPT, Qwen, Llama) or similar large-scale architectures
- Advanced SQL skills and experience with large-scale structured and unstructured datasets.
- Experience with AWS, SageMaker for end-to-end ML development and deployment.
Will be a plus:
- Experience with Kafka, Spark
- Experience with feature stores and model registries.
- Bachelor's, Master’s in a quantitative field.
- English Upper-Intermediate
If you’re looking for a dynamic environment that values creativity, collaboration, and continuous growth, you’re in the right place. Join us in transforming how organizations work and making a positive impact on millions of people worldwide.
What we offer
Flexible working environment - Our teams operate across the globe. We value in‑person collaboration in our hubs, but we also embrace remote and hybrid working. You can work from one of our offices in the United States, Poland, Romania or Ukraine, or remotely from many countries.
Competitive compensation and stock options - We offer salaries that reflect local market conditions and experience, plus a performance-based bonus system and stock options so you share in the company’s growth.
Professional growth and learning - We invest in your development through courses, conferences, and access to learning resources. We encourage career growth and internal mobility, supporting teammates who want to explore new opportunities within airSlate.
Health and well‑being - We provide comprehensive benefits tailored to each country, including health coverage, wellness programmes and access to fitness options. We also dedicate quarterly company-wide Mental Health Days, when everyone takes time off to rest and recharge.
Family‑friendly culture - Family life is part of who we are, and we embrace it in many forms. From flexibility for parents to our airSlate Junior Club for kids, to company-wide family days and our pet-friendly approach, we’re committed to making work and life easier to balance.
Giving back - We support charitable initiatives around the world through the airSlate Care programme. Our current focus includes humanitarian aid in Ukraine and other regions, matching employee donations and supporting causes chosen by our teams.
Open communication - We encourage transparent dialogue at all levels. From team discussions to company-wide Q&A sessions with our CEO, we make sure everyone has the chance to be heard and to influence how we grow.
It is airSlate's policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual’s race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. airSlate's policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. airSlate is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, airSlate will consider for employment qualified applicants with arrest and conviction records.
Read our Recruitment Privacy Notice to Learn how we process your personal information.
Top Skills
AWS
Kafka
Numpy
Pandas
Python
PyTorch
Sagemaker
Scikit-Learn
Spark
SQL
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