What your day will look like:
Be part of the founding data-science team, implementing new and exciting features, end-to-end, along with the product team, focusing on the algorithmic and machine learning aspects embedded in all our products.
As part of the founding team, you will be able to grow as a data scientist and define the theoretical and technical directions, and you will enjoy a lot of autonomy, responsibility, and ownership.
Apply your scientific knowledge and creativity to analyze large volumes of diverse and unstructured data and develop algorithmic solutions and models to solve complex problems.
Characterize and break down product use-cases effectively, choosing the right formalization and tools to best tackle them.
Research, design and apply advanced data processing technologies and methodologies, from a research playground to production. Contribute best practices to our backend applications and help pick the right frameworks and tooling for Axonius's next product.
Work closely with other team members, such as backend developers, product managers and data engineers, across all Axonius groups and departments.
Build and promote quick prototypes/POC/demos to conceptualize innovative ideas
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms and machine-learning models in a production environment and then monitoring and maintaining them.
Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the company’s revenue.
Our culture and Benefits:
Axonius is committed to ensuring that each team member has a clear and attainable long-term career path. To support this, we allocate a yearly budget to every employee, enabling them to invest in their own growth and learning according to their specific needs and aspirations.
We understand the importance of maintaining a healthy work-life balance. That's why we provide our employees with three long weekends throughout the year, giving them the opportunity to rejuvenate, spend quality time with loved ones, and invest in their own well-being. In addition, we created a special parental leave policy which allows both primary caregiver and secondary caregiver to spend substantial time with their newborn. We’re also proud to offer extra vacation days for the following important life events: marriage, birth of a grandchild, special milestones related to your children, loss of pregnancy and bereavement.
We see you. As part of our culture, our employees' well-being is important to us. That’s why we offer psychological support services and support services.
While we have physical offices in the United States, Brazil, and Tel Aviv, we embrace a flexible working culture. The majority of our employees work remotely, regardless of their location around the globe. This flexibility allows us to tap into a diverse talent pool and enables our team members to work in a way that suits their individual preferences and circumstances.
As a global company, we strive for excellence in everything we do. To support our employees in communicating effectively across borders, we provide English lessons as part of our commitment to their success.
Reach out if you have:
Proven expertise (5+ years) as a data scientist and machine-learning researcher
Proven expertise (5+ years) in Python, with a production-level design and coding skills and hands-on experience with coding machine learning / statistical modeling based solutions
M.Sc. in Computer Science, Mathematics, Engineering or a related field, with strong theoretical background in supervised & unsupervised modeling and various other statistical modeling techniques
High-level experience with databases approaches, such as SQL and document-oriented (e.g. MongoDB) and big data
Experience in data analysis and visualization
Strong problem solving and critical thinking skills
Can-do approach
Background in Cybersecurity - an advantage