At Signifyd we’re creating a new market. We’re constantly improving and expanding the technology that has changed what fraud protection for ecommerce looks like. So we don’t have time for office politics. We understand that different people have different work styles and we thrive on variety while learning from each other. We’re all Signifyers, so we know that what needs to get done will get done.

Signifyd is a place where no one is going to tell you how to do your job. If you want help, you'll get it — from all quarters. But we pretty much figure out what needs to be done, who's in the best position to do it and then let that person roll-up her or his sleeves and have at it. We're protecting retailers from online fraud in a way that's never been done before and we could use your help if you're someone:

- Who believes challenges are best overcome by thinking differently.

- Who knows his or her role, but isn’t confined by it.

- Whose greatest satisfaction comes from helping customers succeed and achieve their dreams.

- Who isn’t afraid to disagree, convincingly, civilly and honestly.

We are growing our data science team and looking for someone with strong Machine Learning skills who excels when given open-ended problems and broadly-defined goals, has an innate desire to discover the patterns and relationships in data that can be leveraged to provide business value.

You will have the opportunity to apply your knowledge of machine learning, statistics and your analytical skills to develop models detecting fraud patterns. You will ideate, test and deploy advanced predictive signals to improve fraud detection performance. You will collaborate with other data scientists and engineers to build data pipelines, do feature prototyping, and write production-grade code to implement analytical algorithms and flexible strategies.

Responsibilities:

• Writing or modifying data pipelines to process and mine historical data

• Processing and analyzing data collected with research prototypes

• Ideation, prototyping, measuring predictive features transforming data into actionable information

• Prototyping and validating models and algorithms to boost model performance

• Writing readable code (python, SQL, etc.) to deliver analytics content

Required Skills and Experience:

• An advanced degree (M.S. or Ph.D) in computer science, applied mathematics, or a comparable analytical field from an accredited institution

• Proven SQL skills in relational databases and data warehouses

• Demonstrated fluency with Python

• Demonstrated ability to develop high-quality code adhering to industry best practices (i.e., code review, unit tests, Gitflow)

• Possession of core analytics skills and expertise (as demonstrated by prior work)

• Knowledge of applied statistics and key concepts underlying statistical inference and inductive reasoning

• Experience designing experiments and collecting data

Desired Skills:

• Experience setting up and using distributed/parallel processing frameworks such as Spark, Hadoop, Storm etc

You’ll receive a benefits package that is one of the most competitive in Belfast:

• A competitive base salary

• An equally competitive equity package

• Bi-annual performance related bonus (10% performance related)

• Pension matched up to 8%

• ‘Day one’ access to private Healthcare, Dental and Optical insurance scheme for you and your whole family

• 25 days of annual leave (plus 10 stat)

• Working from home and flexible working options

• 12 weeks full-pay parental leave for mums and dads!

• Free lunch every day that you’re in the office plus free snacks and drinks

• A LinkedIn Learning account

• Top of the range equipment and lots of Signifyd swag

• Monthly Signifyd social events organised by our social committee

As part of our benefits package, we offer a competitive package of relocation support for this position for successful candidates applying outside Northern Ireland.

We are committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.

Posted positions are not open to third party recruiters/agencies and unsolicited resume submissions will be considered free referrals.