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.
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
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.
This job comes with several perks and benefits
Get your caffeine fix to get you started and keep you going.
Want to be a partner? Look no further.
Break a leg! Seriously, we got you covered in our company healthcare plan.
Kids are the future, go spend time with them.
Enjoy a free catered lunch with your colleagues, every day.
We take care of you, even when you are old and wrinkly.