Who You Are :
We are looking to hire a Staff Data Scientist (India) to help lead and drive our AI / ML initiatives. You will be a part of a global all-remote Data Science and Engineering organization, and will play a key role in defining and enabling our data-driven strategies and solutions.
As a Staff Data Scientist, you’ll work closely with the Director of Data Science and Engineering, Product Managers, Finance and Business Analysts, Data Scientists, and Data / Software Engineers as you help define our data development roadmap.
You will help lay the foundation for supporting and scaling our data science and machine learning initiatives. Eager to jump into a pivotal role that's essential in enabling data-informed decisions? It’s time to apply!
Who We Are :
Spiceworks Ziff Davis is a global organization with a Work From Anywhere approach to getting the job done. We help the world’s businesses find, adopt, and manage the latest technologies.
We also help technology brands build, market, and sell better products and services. Millions of technology buyers and hundreds of brands later, we’ve built the platforms they use to get their jobs done and make them better at what they do, every day.
The Spiceworks Ziff Davis ( SWZD) ecosystem touches over 90% of all technology spending... Think about the impact of that!
What You’ll Do
Lead the data science vision by design and developing the next generation of marketing technology, models, and data products
Closely collaborate science and engineering leadership to relentlessly drive innovation and agility of our engineering teams
Provide technical leadership and mentorship to junior data scientists
Collaborate with product team and contribute to proof of concepts, model selection, and solution design
Work on state-of-the-art large-scale data analytics and machine learning projects
Build and operationalize predictive models leveraging recent advances in AI / ML, Deep Learning, and NLP
Help develop data science standards and best practices that support experimentation, reproducibility, quality assurance, and MLOps
Continuously evaluate the latest AI / ML technologies, packages, and frameworks in the data science ecosystem
Contribute to the consolidation of our data and empower other teams with self-serve analytics
Work closely with stakeholders on the data supply side (e.g. application engineers) and data demand side (e.g., BI analysts, data scientists, product managers, and other engineering teams)
What You Need
10+ years of experience designing, developing, and deploying production-grade data science solutions
Graduate degree (data science, statistics, applied math, etc.)
Excellent verbal and written communication skills
Excellent understanding of science fundamentals (experimental design, hypothesis testing, reproducibility)
Expert-level Python and SQL
Expertise is predictive modeling and machine learning
Experience in big data technology and cloud-based development (prefer AWS)
Specialization (Deep Learning, NLP, OR, RL, Time Series, MLOps, etc.)
Experience using a wide range of data science and engineering tools and technologies (Matillion, Snowflake, PySpark, Kubernetes, Tableau, Open Source packages, etc. )
Experience leading and mentoring data scientists
Perks and Benefits
Unlimited flexible time off
Volunteer paid time off
Generous holidays
Recognition Programs - yes there are multiple, AND prizes!
Remote-first work experience and a work from anywhere culture
Weekly coffee chats with leaders
Wellness and mindfulness programs
Career advancement opportunities
Sick days
Generous Paid Parental Leave
Bi-weekly Townhalls
Regional holiday celebrations
Community give-back celebrations
Transportation Assistance for night-shift employees
Unwavering commitment to diversity and inclusion
Employee stock purchase program
and more!
In terms of logistics, all interviews will take place over phone or video due to the ongoing coronavirus pandemic
Spiceworks Ziff Davis is a safe, inclusive workplace for people of all backgrounds and walks of life. Some candidates may see a long list of job requirements and feel discouraged because they don't match every single bullet point - we suggest, please apply anyway.
We're flexible on location wherever possible - we are a Work From Anywhere company. We don't believe in a "perfect" candidate because we believe in our core value, "Evolve and Adapt Quickly".
If you believe this is a role that you'll be excited to work in every day, want to be a part of a culture like ours, and will be relentless about pushing boundaries to succeed, please apply.
