Data Scientist

About Us:  

Nitro is a global document productivity company accelerating digital transformation in a world that demands the ability to work from anywhere, anytime, on any device. As a global player in the eSign and workflow productivity market, Nitro enables organisations to drive better business outcomes through 100% digital document processes and fast, efficient workflows. The Nitro Productivity Platform offers comprehensive SaaS business solutions, including highly secure eSigning and e-ID, powerful PDF productivity and industry-leading analytics, all supported by a superior customer success team. Nitro has over 3 million licensed users and 13,000+ Business Customers in more than 150 countries, including over 68% of the Fortune 500 and three of the Fortune 10. Nitro is headquartered in San Francisco with nine global hubs.  

How We Work: 

We Aim To Create An Environment Where Talented Individuals Are Empowered To Excel. How We Collaborate, Innovate, And Engage With One Another Is Important To Us. Our Work Is Driven By 5 Key Principles:

• One team, One mission Our collective dedication to Nitro's mission defines us. Together, we are building an environment where everyone feels like a valued part of something bigger than themselves.
• Own it We take full ownership of our actions and decisions. We empower one another to lead with confidence, creativity, and a solutions-focused mindset.
• Accountable to our customers We are dedicated to our customers and take our commitments seriously. We do what we say we are going to do.
• Excellence in execution Driven by passion and precision, we exemplify excellence in our delivery with innovative, top-quality results.
• Be bold, fail fast, learn faster We learn as we grow, dare to try, and bravely question. We are not chasing perfection but forever iterating towards it.

These guiding values shape our approach to work, fostering a culture where everyone is inspired to contribute their best.

Why Nitro Engineering:  

Engineering is a critical function at Nitro, developing the products and services at the heart and soul of our business today, and helping us realize our vision of smarter documents in the future. We have an incredibly talented and diverse Engineering team that cares, with a strong culture that believes in building the right things and building them the right way.  

The Role :

We're looking for a Senior Data Scientist to join our Data Science & Analytics team in Dublin. You will use your skills in machine learning and data science to build intelligent document processing solutions and exploit our data to enable data driven decision making across the organisation. The role has a focus on both building modelling solutions that can make it in to use in the company and internal modelling and analysis solutions that make a positive impact on our business.

What You'll Be Doing :

• Using Machine Learning techniques to develop solutions that can determine the structure and content of PDFs, particularly identifying structured data and extracting it
• Delivering analyses to extract actionable business insights
• Building data models to optimise sales and marketing predictions and activities
• Working closely with a tightly-knit team, helping to guide the development of our data products
• Working with our data engineers to define good data structures to enable good data analysis
• Build on LLMs (ChatGPT) to provide applications to external users (using RAG) or internal applications (prompt engineering)
• Working with massive data sets, you will build strong domain knowledge and help identify gaps in our data
• Using state of the art, cloud based technologies primarily on AWS
• Helping to establish best practice
• mentoring more junior data scientists
• Identifying how to use AI to drive our vision of making documents smarter

What We're Looking For:

• BSc, MSc or Phd in Computer Science, Statistics, Applied Math or related
• 5+ years of experience in data analytics, delivering data insights and using machine learning techniques
• Experience working with open problem statements and mapping business problems into data science opportunities
• A strong background in statistical analysis and data mining
• Strong proficiency with a scientific computing language, Python
• Strong SQL skills and experience extracting datasets from disparate sources
• Experience with analysis and visualization tools (such as jupyter notebooks, Zeppelin, SuperSet, QuickSight, Tableau, etc.)
• Enthusiasm, passion, strong collaboration skills and a desire to explore large datasets
• Other skills: Experiment Design, Behvaioural Segmentation, Uncertainty quantification in practical scenarios
• Supervised and unsupervised data science techniques

Traits That Will Distinguish The Ultimate Candidate :

• Experience with DeepLearning Modelling on Images or Documents (Tensorflow, Pytorch)
• Prototyping experience with Generative Language models
• Independence and autonomy as regards data modelling and working beside and within Engineering environments
• Experience with version control and data modelling environments (e.g. DBT)
• Proven Track record of coaching, mentoring, and guiding individuals in their analytics professional growth
• Expertise and an interest in natural language processing and text analysis
• Experience using machine learning approach in a commercial environment
• Blogging or presenting at conferences on data science/analytics topics

Why Nitro?

Along With Our Regular Benefits And Programs (including Health, Dental, Vision, And Retirement As Standard), We Are Also Very Proud To Offer a Few Additional Initiatives To Future Nitronauts:

Flex Time Off

Work-life balance is important at Nitro, and we understand that there are events that we cannot plan for. We are proud to offer Flex Time Off to be used for holidays, spending days with your family, or appointments.

Hybrid Work

Our team embraces the hybrid work model, appreciating its blend of flexibility and structure. We combine three days of in-person collaboration at our global offices in Toronto, Dublin, Antwerp, Porto, and Melbourne with the convenience of two days of remote work each week.

Benefits:

Nitro provides all employees with a comprehensive benefits package that includes health insurance, dental and vision coverage, and wellness perks. We also offer pension/401k matching, along with many other country-specific benefits.

Nitro strongly encourages applications from everyone regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status. We provide an accessible candidate experience and invite you to request any accommodations or adjustments throughout the interview process and beyond.