Optimizely on cord

Optimizely

Senior Statistician

External position
London, UK
Hiring internally for Optimizely?
Software
Empower people to unlock digital potential
Posted
a month ago
Checked
cord regularly checks that external positions are still open
2 days ago

Skills & Experience

Job roles: Data Scientist
Experience level: Senior
Core skills considered: Machine Learning, Python, SQL, Data Analysis
Other skills considered: Artificial Intelligence, Data Modeling, Data Mining, Deep Learning

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Hybrid
Visa sponsorship: Not available

Job Description

Rigorous statistical analysis is a core to all experimentation products at Optimizely. You will get on customer calls to articulate how we maintain statistical accuracy in our products as well as triage questions around statistical inference. You will educate internal and external stakeholders about fundamental as well as cutting edge statistics concepts via webinars, speaking engagements, blog posts, and white papers. You will also have the opportunity to work with our product and engineering teams to build new statistics/ML features for all of Optimizely's products. You will have also have the opportunity to partner with experts in academia and research to explore and identify the latest trends and next great innovations that Optimizely should invest in.


Job Responsibilities

Product and Feature Development

  • Collaborate with product managers and engineering teams to design and implement new statistical and machine learning features across Optimizely's product suite.
  • Conduct rigorous testing and validation of new statistical methods and ensure seamless integration into the platform.
  • Analyze product performance data to optimize existing features and provide actionable recommendations for improvement.
  • Leverage AI agents to deploy new statistical capabilities.

Research and Innovation

  • Partner with academic and industry researchers to explore cutting-edge statistical methods and machine learning innovations.
  • Identify emerging trends in experimentation and statistics that could enhance Optimizely's offerings.
  • Propose and prototype advanced statistical techniques to solve challenging business problems faced by customers.

Quality Assurance and Compliance

  • Develop and enforce statistical standards and best practices for all experimentation processes.
  • Monitor and evaluate statistical algorithms to ensure accuracy, reliability, and scalability.
  • Provide internal stakeholders with guidance on statistical compliance and methodologies to safeguard the credibility of experiment results.

Education and Thought Leadership

  • Develop and deliver educational content on statistics, including webinars, blog posts, white papers, and public speaking engagements.
  • Simplify complex statistical concepts for both technical and non-technical audiences to promote understanding of experimentation best practices.
  • Represent Optimizely at conferences and industry events, showcasing expertise in experimental design and statistical analysis.

Customer Engagement and Support

  • Conduct customer calls to explain how statistical accuracy is maintained across Optimizely's experimentation products.
  • Triage and resolve customer inquiries related to statistical inference and experimentation methodologies.
  • Assist customers in designing statistically valid experiments tailored to their needs and objectives.

Cross-Functional Collaboration

  • Partner with sales, customer success and onboarding teams to offer statistical expertise during customer onboarding and key engagements.
  • Serve as a statistical advocate within the organization, fostering a culture of rigorous data-driven decision-making.
  • Collaborate with marketing teams to showcase Optimizely's statistical capabilities in external communications.

Knowledge and Experience

  • 3+ years of industry or educating experience with experimentation, data science, analytics, etc.
  • Understanding of and ability to explain experimentation, randomized control trials, and inference, particularly aspects of high throughput testing such as multiple hypothesis testing, sequential testing, reinforcement learning, robustness, data mining of experiments
  • Demonstrable experience of at least one of the following subjects:
  1. Classical statistical inference (fixed horizon tests, sequential tests);
  2. Bayesian statistical inference;
  3. Causal inference (potential outcome framework, randomized controlled trials, observational studies) and experiment design;
  4. Reinforcement learning (e.g., multiarmed bandit).
  • Demonstrable working experience of python and SQL, (knowing R is also helpful).
  • Experience collaborating on applied statistical research or designing commercial statistical features/applications
  • Experience with AI applications

Education

Advanced degree in Statistics, Computer Science or a closely related field such as bioinformatics, econometrics, economics or applied mathematics

Senior Statistician at Optimizely
Position posted a month ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
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