Created about 2 months ago
Bottomline Technologies Bottomline Technologies

Sr. Data Scientist at Bottomline Technologies

Remote in USA

Job details

These are the details of the job, consider each of them before you apply.

  • Company: Bottomline Technologies
  • Salary: Salary to be Agreed
  • Remote?: Yes

Job Description:

Bottomline is at the forefront of digital transformation. We are a growing global market leader uniquely equipped to address the changing needs of how businesses pay and get paid. Our culture of Working with and for each other enables us to delight our customers. We empower our teams to think like owners driving customer satisfaction, helping them grow their business, and win in their markets.

We are looking for Sr. Data Scientist to innovate, win, and grow with us in Portsmouth, NH.

As a leader within our global Data Science team, you will work on exciting Machine Learning and Data Mining projects in the Financial Industry!

Join an established predictive and advanced analytics team to build innovative analytics solutions to solve problems in the financial industry.

We are looking for a Sr. Data Scientist who is passionate about data and delivering value for our business and our customers using this data. The analytics team develops and applies advanced machine-learning techniques and algorithms to solve problems for online payments and financial messaging. This is an exciting time to be joining this team of Data Scientists as it transitions from deployed databases to a full-fledged cloud-based working environment. 

How you'll contribute:

  • Lead, coach and manage a small team of junior data scientists and analysts based in North America
  • Process massive amounts of structured and unstructured data using Spark/SQL/Hive
  • Build advanced supervised and unsupervised machine learning models
  • Research new machine learning solutions to complex business problems
  • Write production code in Python
  • Carry out A/B test experiments
  • Communicate findings to a non-technical audience
What will make you successful:

  • At least 6 years’ professional experience in with major programming languages such as in Java, Python, Scala
  • A completed graduate degree in Computer Science, Engineering or any other heavily numerate subject
  • Understanding of the full software development life-cycle (conduct data analysis and build large-scale machine-learning models/pipelines)
  • Exposure to state-of-the-art data analytics products and solutions.
  • Ability to prototype statistical analysis algorithms
  • Experience in coding structures for storing and processing complex, high volume, and multi-dimensional data
  • Experience in optimizing space/time trade-offs for computationally expensive processes
  • Exposure to different Machine Learning techniques
  • Familiar with Agile software development process
  • A graduate degree in Computer Science or Engineering
  • Experience in Big Data technologies (Hadoop, Spark)
  • Experience in data pre-processing, Machine Learning, and data visualization
  • Experience with large relational and NoSQL databases
  • Experience in quantitative analysis and translation of findings into actionable insights

Interview Information 

  • All candidates will be asked to participate and review a case study, as well as live present to key stakeholders

We are seeking a candidate located in US

You’ll love Botttomline because in everything we do we seek to delight our customers and we are passionate about building a company of which we can all be proud, and this starts with building amazing teams filled with team members that challenge you every day.

Hiring policy
The personal data you provide as an applicant to Bottomline Technologies through this website, shall be transferred by such receiver to Bottomline Technologies under our terms and conditions for application purposes. Consequently, by sending your information through of the website, you consent to the transfer of personal data to third parties, in compliance with the provisions of the Laws for the Protection of Personal Data from each country where has a presence, as the consent is free, prior, express, unequivocal and informed.
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