Staff Data Scientist

**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

**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**_