Senior Data Engineer, Workstream
+ Equity
HR and payroll solutions built specifically for restaurants
Job no longer available
HR and payroll solutions built specifically for restaurants
201-500 employees
Job no longer available
+ Equity
201-500 employees
Company mission
To help businesses hire faster and smarter, so they can focus on supporting their team and serving their customers.
Role
Who you are
- Entrepreneurial spirit with a passion for building data-driven and ML-powered products
- Experienced in working closely with SaaS product teams
- Able to quickly master complex multi-product data models
- Excellent communication skills, capable of translating complex analytical concepts into clear, actionable insights for non-technical stakeholders
- Strong organizational skills, capable of managing multiple projects in a fast-paced environment
- Able to translate the company’s strategy into success factors/metrics and use data to guide business/product decisions
- A Bachelor's degree in a quantitative field with significant prior experience in data science or machine learning roles
- Expert in SQL who can navigate and analyze complex data structures
- Proficient with dashboarding/data visualization tools
- Proficient with Python and able to write big data pipelines for ETL and modeling (Spark/Airflow/etc) as well as modern tools and frameworks for building and managing ML pipelines
- Familiarity with data lakes and data warehousing concepts
- Expert in experimental design and analysis
- Strong background in NLP and text mining, with experience in topic modeling
What the job involves
- As a Data Scientist at Workstream, you will leverage your deep expertise in Python, SQL, and machine learning (ML) to push forward our data-driven product initiatives. You will be working closely with our product teams to help them understand our customers needs and drive growth through innovation and data insights
- You will be building and maintaining ML pipelines to enhance our product offerings and customer experience. Your role is critical in synthesizing complex multi-product data into actionable insights, directly influencing our strategic direction and product development
- Be the champion for a data-driven culture at Workstream
- Participate in end-to-end business intelligence and ML projects from requirement scoping to rolling out clean, well-produced user-facing products and internal dashboards that inform business decisions
- Conduct advanced analyses to uncover insights that inform product development and strategy
- Design, build, and maintain ML pipelines, with a strong focus on NLP, text mining, and recommender systems to support product innovation
- Engage in continuous learning and development to stay ahead of the latest trends in data science and machine learning
- Adopt industry best practices and tools to work efficiently at scale
Our take
Recruiting new staff can be a slow andf frustrating process for HR teams, especially in industries that rely on hourly workers. Roles often need filling quickly, turnover can be high, and managers don't always have time to sit at a desk sorting through applications and emails. So, chasing candidates, scheduling interviews, and keeping people engaged can take hours each week, often delaying businesses , leaving them short-staffed when they need people most.
Workstream is a HR and hiring platform built specifically for hourly workers, with text messaging at the centre of how it works. Instead of forcing candidates to apply through long online forms or emails they may never check, Workstream allows people to apply, communicate, schedule interviews, and even complete parts of onboarding directly through their phone. And for employers, the platform automates most of the hiring process, so managers can source, screen, hire, and onboard staff with ease.
Whilst the company operates in a competitive HR software market, its carved out a strong position by focusing on deskless and hourly workers, a group often overlooked by traditional HR tools. Its growing list of customers also span quick-service restaurants, retail, logistics, and other hourly-heavy industries, and the company has attracted significant investor backing as a result. Competition may remain strong but Workstream's clear focus, steady expansion, and continued product adoption give it a strong foothold in the market.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Sep 2022
$60m
SERIES B
Aug 2021
$48m
SERIES B
Total funding: $118m
Company benefits
- Health and wellness: We care about the physical and mental health of each of our team members. We offer every employee comprehensive medical, dental and vision plans, and access to a generous number of fully-paid counseling sessions with licensed therapists every year.
- Competitive compensation (and equity): As a company, we have ambitious goals with a high-potential financial upside—and we share that with every employee through competitive market compensation and generous stock.
- Flexible time off: We believe team members do their best work when their life feels balanced. We promote work-life harmony through flexible PTO and paid parental leave.
- Professional development: We believe in becoming 1% better each day. That’s why we offer a quarterly learning reimbursement that can be used toward continuing education, books, subscriptions and more.
Company HQ
SoMa, San Francisco, CA
Leadership
Desmond Lim
(Co-Founder & CEO)Prior to co-founding Workstream in 2017, Desmond was a Product Manager at MIT Media Lab and WeChat.
Max Wang
(Co-Founder & CTO)Previously, Max co-founded VC.CN where he served as the CTO for 5 years.
Lei Xu
(Co-Founder & CSO)Lei previously co-founded Emote where he served as the CTO for 2 years. Prior to that, he spent 3 years at Google in Revenue Acceleration and Software Engineering roles.
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