Data Scientist, Skai
$130-145k
+ Quarterly bonus
Omnichannel marketing platform
Be an early applicant
Omnichannel marketing platform
501-1000 employees
Be an early applicant
$130-145k
+ Quarterly bonus
501-1000 employees
Company mission
To empower businesses with data they can trust, insights they can use, and impact they can measure.
Role
Who you are
- The ideal candidate should have strong data analysis and programming skills, excellent analytical and problem-solving skills, a good understanding of AI concepts, and the ability to coherently describe complex mathematical concepts to a non-technical audience
- The candidate should also demonstrate a consultative approach to addressing client needs
- Strong analytical and problem-solving capabilities
- Experience leveraging AI/ML/GenAI methods to solve business challenges
- Experience with Python
- SQL capabilities - experience querying data from relational DB engines
- Good working knowledge of statistics, modeling, and NLP
- Ability to thrive in an unstructured environment, working autonomously on a strong team to find opportunities and deliver business impact
- Strong written and verbal communication skills - be able to take complex math and analytical concepts and explain to working teams and client executives
- Passionate about communicating an effective data story
- Strong teamwork - internally with our teams as well as with clients
- Prior experience in the internet marketing industry is a plus
- Knowledge and experience in A/B testing would be a plus
- BS/BA required, having an advanced degree is a plus. Ideally in a relevant field to analytics (finance, business, engineering, information systems, math, science, etc)
- 2+ years in consulting/data science/marketing analytics roles
What the job involves
- The role of the Data Science team is to build AI proof of concepts to advance the Product roadmap and empower customers to leverage Skai's suite of algorithmic products
- This role will report to the CTO and will be positioned in Skai's New York City office
- Build and own proof of concepts from ideation to productization, demoing solutions to clients and iterating quickly on feedback
- Represent Skai Research in conversations with clients and partners. Advocate for our algorithmic solutions, data-driven approaches, and provide consultation on how to best set up and leverage Skai's optimization products
- Have a full understanding of Skai's optimization capabilities and relevant products, for customers and internal training and support
- Be part of our research team to provide both client feedback and analysis to help guide data-driven decision making to advance the product roadmap
- Perform analysis of customer data using ML and statistical methods to provide clients with an understanding of how to read AB test results, compare attribution strategies and more
- Help build internal tools that allow the automation of data analysis to provide both proactive and reactive support for Skai's optimization products
Our take
With increased demands for advertisements on mobile, CTV, and other digital platforms, businesses are facing pressure to find omnichannel marketing solutions. Although this is becoming easier due to omnichannel-focused ad bidding platforms, data must still be leveraged to target and optimize the engagement of each advertisement.
Skai provides a data-driven marketing platform focused on omnichannel advertisement analytics, helping to provide businesses with the insights they need to drive powerful brand growth. In addition to providing measurement tools for cookieless proprietary data, the platform also includes campaign creation and management tools, as well as strategic tools for identifying trends, consumer sentiment, and other business intelligence datasets.
Whilst the omnichannel marketing platform landscape is growing, Skai stands out by focusing on data strategies, whereas its competitors prioritize simpler tasks such as media bidding. In 2023 it released the first-of-its-kind "omnichannel platform for unified performance advertising", which boasts new AI-powered capabilities and bundled solutions, showcasing its dedication to remaining at the forefront of innovation in the field.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-11% employee growth in 12 months
Company
Company benefits
- Offices in cities across the world
- Professional growth stipend
- Diversity and inclusion programs
- Company outings and volunteering
- Health and wellness initiatives
- Stock option plan
- Transportation benefits
- Exclusive perks and discounts
- Stocked kitchens and happy hours
Company HQ
China Basin, San Francisco, CA
Leadership
Yoav Izhar-Prato
(Co-Founder & CEO)Founder and CEO of Kenshoo. Experience as Vice President of Marketing, Business Development, and Sales for CellPay Ltd. Founder and Chairman of Beijing PrePay from 2004 to 2006.
Nir Cohen
(Co-Founder & CTO)Experience as Developer for Amdocs. Co-founded Skai as CTO in 2006.
Alon Sheafer
(Co-Founder & CSO)Experience as CEO of Bazman from 2003 to 2006. Co-founded Skai as CSO in 2006.
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