The Data Science team builds production machine learning models that are the core of Signifyd’s product.  

We help businesses of all sizes minimize their fraud exposure and grow their sales.  We also improve the e-commerce shopping experience for individuals by reducing the number of folks’ orders that are incorrectly declined and by making account hijacking less profitable for criminals. 

The Data Science team has end-to-end ownership of our decisioning engine, from research and development to online performance and risk management.  

We value collaboration and team ownership -- no one should feel they’re solving a hard problem alone.  

Together we help each other develop our skill sets through peer review of experiments and code, group paper study to deepen our ML and stats understanding, and frequent knowledge-sharing via live demos, write-ups, and special cross-team projects.

The Data Science and Engineering teams at Signifyd have always had a strong contingent of remote folks, individual contributors as well as team leads.  The challenges of working remotely aren’t new to us and we have a track record of iterative improvements to our remote culture.

You’ll be on a horizontally-focused team that’s laser-focused on stopping fraud in its tracks. You will be leading and planning algorithmically-driven solutions, testing whether and how those strategies will be effective, and getting them into production. 

Here you’ll have the opportunity to:

• Concept, plan, and develop strategies for identification and remediation of fraud attacks. 
• Devise algorithmic approaches with the right evaluation frameworks, and how to apply them in end-to-end systems 
• Build production machine learning models that stop fraud rings
• Write production and offline analytical code in Python, SQL, and Java
• Collaborate with engineering teams to strengthen our machine-learning platform
• Communicate complex ideas to a variety of audiences

Past experience you’ll need:

• A degree in computer science or a comparable quantitative field
• 4+ years of post-undergrad work experience
• Experience leading projects, designing experiments, and collecting data
• Building production machine learning models (they don’t need to have been related to fraud)
• Experience with graph-based frameworks, spark, pandas, sklearn, numpy, and other core Python DS libraries
• Hands-on statistical analysis with a solid fundamental understanding
• Writing production code and reviewing others’ in a shared codebase, preferably in Python
• Practical SQL knowledge
• Familiarity with the Linux command line

Bonus points if you have:

• Previous work in fraud, payments, or e-commerce
• Passion for writing well-tested production-grade code
• A Master's Degree or PhD 

Check out howData Science is powering the new era of Ecommerce

Check out our Director of Data Science featured inBuilt In

#LI-Remote

Benefits in our US offices:

• 4-day workweek
• Discretionary Time Off Policy (Unlimited!)
• HeadSpace Health Online Therapy Membership
• Dedicated learning budget through Learnerbly
• 401K Match
• Stock Options
• Annual Performance Bonus or Commissions
• Paid Parental Leave (12 weeks)
• Health Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Account (FSA)
• Short Term and Long Term Disability Insurance
• Life Insurance
• Company Social Events
• Signifyd Swag

We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

EquipmentShare is Hiring a Data Scientist (Operations Research).

EquipmentShare is searching for a Sr Data Scientist specializing in Operations Research (OR) to join our team. This position is fully remote.

Primary Responsibilities

Despite having been fundamentally altered by earlier industrial revolutions, the construction industry has hardly budged with the computer revolution. In fact, since 1970, labor productivity in the US construction industry has actually declined, despite it more than doubling in the rest of the economy. This has contributed to housing shortages and the parlous state of infrastructure in some places, and is sanding the gears of carbon reduction efforts.

We think the industry is ripe for change, and we’re pushing the leading edge of that change with our next generation T3 Platform, the OS for Construction. Through T3, we help contractors to coordinate humans and (increasingly smarter) machines to build more effectively.

As a Sr Data Scientist specialized in OR in our small and quickly growing team, you will play a major role in this effort. In particular, you will

• Create and enhance fleet management practices across the company through analytical 
  techniques
• Develop, from scratch, simulation experiments that lead to implemented optimization 
  algorithms to solve our complex supply chain problems
• Assist in identifying key KPIs and metrics to measure our company’s supply chain 
  effectiveness
• Help to identify the highest value next opportunities for OR within a big greenfield space,
  work cross-functionally to plan and build, and measure your significant business impact
  via experimentation

Why We’re a Better Place to Work

• Competitive compensation packages 
• 401 (k) and company match
• Health insurance and medical coverage benefits
• Unlimited paid time off
• Generous paid parental leave
• Volunteering and local charity initiatives that help you nurture and grow the communities you call home
• Stocked breakroom and full kitchen (corporate HQ)
• State of the art onsite gym (corporate HQ)/Gym stipend for remote employees
• Opportunities for career and professional development with conferences, events, seminars, continued education

About You 

Our mission to change an entire industry is not easily achieved, so we only hire people who are inspired by the goal and up for the challenge. In turn, our employees have every opportunity to grow with us, achieve personal and professional success and enjoy making a tangible difference in an industry that’s long been resistant to change. 

Skills & Qualifications 

Minimum Qualifications:

• Graduate degree or equivalent practical experience in statistics, computer science,
  applied math, operations research or related field
• 4+ years working on technology-powered products and projects within the OR, supply 
  chain optimization, or data science roles
• Demonstrated understanding of the techniques and methods of modern algorithm
  development
• Strong cross-functional communication skills
• Must be qualified to work in the United States - we are not sponsoring any candidates at 
  this time

EquipmentShare is committed to a diverse and inclusive workplace. EquipmentShare is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

#LI-Remote

Come join our Artificial Intelligence team

Our AI team will work across product boundaries to rapidly prototype the AI products and features that will define the future of technical interviewing for Karat, create a competitive moat for our business, and allow our customers to source, hire, and retain the right talent with increased predictivity, less bias, and previously unimaginable efficiency.

What you will do

As a Senior Data Scientist on the AI team at Karat, you will drive innovation by extracting key insights from our data, and providing actionable recommendations for innovative products that can be built into the Karat platform as we scale. Collaborating with a small team of Engineers, you will innovate on top of the Company’s internal and external data, leverage cutting-edge AI technology like LLMs, carry complex analysis, build proofs-of-concept and prototypes, create insight, and build models and products that serve a variety of key end-users in the Interviewing Cloud space.

This is a Salary, Exemptposition. Immigration sponsorshipis notavailable.

• Lead projects in close partnership with engineering teams to increase the signal captured during technical interviews, maximizing the product value provided to clients.
• Work hands-on in coding, data preprocessing, feature engineering, model development, and exploratory data analysis.
• Lead projects and mentor teammates working in the Data Science and AI realms across all teams and products.
• Partner with business stakeholders to understand the Company’s business challenges, develop hypotheses, and propose data-driven solutions to those challenges.
• Present complex findings and insights to non-technical audiences, influencing decision-makers across the organization.
• Stay abreast of the latest advancements in Data Science, Machine Learning, and AI, and proactively identify opportunities to apply emerging technologies to Karat’s business needs.
• Lead the dialogue within Karat about AI, Data Science and Machine Learning.

The experience you will bring

• 5+ years of tech industry experience in Data Science, Machine Learning, AI, or other related roles
• Strong expertise in programming languages such as Python, and proficiency in using relevant data science libraries and frameworks
• Experience with cloud platforms (e.g., AWS, Azure, GCP), data engineering pipeline and tools such as dbt, airflow, and model deployment process
• Proven track record leading Data Science, Machine Learning or AI projects that have delivered significant business impact
• Exceptional problem-solving skills with the ability to translate business challenges into data-driven solutions
• Deep understanding of statistical analysis, data manipulation, and data visualization techniques
• Excellent communication skills, with the ability to communicate complex technical concepts to both technical and non-technical audiences

SUPERHUMAN ????

We exist so that professionals end each day feeling happier, more productive, and closer to achieving their potential.

Today we are…

• The fastest email experience in the world
• Loved and adored: see what our customers say

Our customers get through their inboxes twice as fast; many see inbox zero for the first time in years.

Come shape the future of email, communication, and productivity!

BUILD LOVE ????

At Superhuman, we deeply understand how to build products that people love. We incorporate fun and play; we infuse magic and joy; we make experiences that amaze and delight.

It all starts with the right team — a team that deeply cares about values, customers, and each other.

CREATE MASSIVE IMPACT ????

We're not solving a small problem, and we're not addressing a small market. We're going after email; the one activity that consumes more of our work day than any other.

Our ambition doesn't stop there. Next: calendars, team collaboration, notes, contacts, and tasks. We are building the productivity platform of the future.

DO THE BEST WORK OF YOUR LIFE ????

We have created the frameworks for how to build product market fit and redefined the narrative of how to onboard customers successfully. We have shown the world it’s possible to build a premium productivity brand. Our investors include Andreessen Horowitz, First Round Capital, IVP, Tiger Global Management, Sam Altman, and the founders of Gmail, Dropbox, Reddit, Discord, Stripe, GitHub, AngelList, and Intercom.

Looking ahead, we’re swinging beyond the fences and fundamentally rethinking how individuals and teams should collaborate. We are building a household brand and a worldwide organization. We are here to do the best work of our lives, and we hope you are too.

As a Principal Data Scientist, you’ll accelerate our journey to achieving our vision by leading product analytics for our core product experience, partnering closely with Product Managers and our executive team to uncover deep insights about our users and using that information to craft the next evolution of the Superhuman product.

THE ROLE ????????‍????????‍????

Mission: use data to improve outcomes for Superhuman’s users and business

• Partner with our Product, Design, Engineering, and Executive teams to discover insights about our users and craft an even better product experience for them
• Design, execute, and learn from A/B tests; up-level our company-wide A/B testing program
• Democratize a culture of data-informed decision-making in product development
• Coach and mentor other Data Scientists to up-level the Product Analytics craft across the Analytics team

SOUND LIKE YOU? ????

Strong candidates typically have 6+ years of experience in data science and analytics. The most impactful skills to succeed in this role are:

• Empathy: You strive to approach projects from stakeholders’ and users’ point of view in order to produce the best outcome for all parties
• Communication: You recognize that communication and narrative are as or more impactful than analysis itself. You are a concise and direct verbal and written communicator, and are effective at async communication (esp. in Slack, Notion, and of course email)
• Embracing Ambiguity: You thrive with a large scope of ownership, and expertly prioritize which problems to solve, push your work forward even in the face of incomplete information, and offer proactive recommendations to help our product business improve
• Ownership: You autonomously define, roadmap, and deliver large-scale projects, anticipating and resolving roadblocks and cross-functional dependencies
• Growth Mindset: You add value by offering critical feedback to your manager, your team, and stakeholders to help them improve, and you expect and welcome the same from them
• Technical Skills:
  • Expert SQL skills
  • Strong command of the fundamentals of statistics
  • Experience with modern data tools like dbt, Metabase, Looker, etc.

Note on qualifications: if you feel you fit most but not all qualifications listed above, we encourage you to apply anyway! It’s not necessary to check every box perfectly, to be a strong candidate.

COMPENSATION ????

The Principal Data Scientist role spans several internal levels and a wide breadth of experience at Superhuman. Our compensation band reflects the potentially broad range of candidates and experience levels that we are open to hiring for this role.

Our salaries for this role range from $229,000 to $269,000. The salary range does not reflect total compensation, which includes base salary, benefits, and company stock options.

We are open to candidates in the US, Canada, or Latin America. We take a locally informed approach to non-US-based compensation and will be able to share ranges based on your country of residence.

BENEFITS ????

Taking Care of Your Future ????

• Medical, dental, and vision insurance: 100% coverage for you and 75% coverage for all your dependents.
• Voluntary insurance: short-term disability, long-term disability, and life insurance.
• 401(k) plan (we match 75 cents per dollar, up to 4% of your salary).
• Free access to Northstar, a financial wellness platform that provides financial advisors + personal finance tools.

Generous Time Off ????

• Enjoy our generous and flexible Paid Time Off (PTO) policy, with our amazing team members taking an average of 20 days per year.
• 13 additional company holidays, plus your own Care Days, Flexible Holidays, and a company-wide Winter Break.
• Generous parental, caregiver, healthcare, and compassionate leave policies.

Investing in Your Growth ✍️

• $3000 per year towards your professional development.
• Free access to Calm and Taskhuman.
• Allyship education program to help build your best self.

Setting You Up For Success ????????‍????????????‍????

• Custom MacBook Pro.
• $1,000 budget for workstation setup.
• $260/month for your lunches, groceries, or whatever nutrition you need to stay fueled up!
• Flexible spending accounts for commuter costs, dependent care, and healthcare expenses.

At Superhuman, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.