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Data Scientist - Bellevue

companyRESULTICKS
locationBellevue, WA, USA
PublishedPublished: 6/14/2022
Full Time

Job Description

JOB DESCRIPTION - Data Scientist

Title:                            Data Scientist

Job Function:             Product

Role Type:                   Full time

Location:                     Bellevue, WA

Reporting to:              Head Data Scientist

Stakeholders:             Project Managers/Head of Product

About Resulticks

Resulticks is a fully integrated, real-time marketing automation platform designed to help brands worldwide reach, acquire, and retain satisfied customers. Built from the ground up by experts in marketing, technology, and business management, Resulticks enables brands to make a transformational leap to conversion-driven, growth-focused personalized engagement. With an advanced CDP at its core. Resulticks offers AI-powered omnichannel orchestration, complete analytics, next-best engagement, attribution at the segment-of-one level, and the world’s first marketing block chain.

Resulticks has been named to the Gartner’s Magic Quadrant 2022 for Multichannel Marketing Hubs for six years in a row and has been awarded with the Microsoft “Elevating Customer Experience with AI” award.

Headquartered in Singapore and New York City, Resulticks is one of the top global martech solutions servicing both B2B/B2B2C and B2C segments. Resulticks’ global presence includes the United States, India, Singapore, Indonesia, Malaysia, Vietnam, Thailand, and the Philippines.

Watch video on RESULTICKS - https://www.youtube.com/watch?v=G_OwGy6unP8

Candidate Profile

Resulticks seeks an optimistic, experienced data scientist who can analyze data and deliver insights on a regular basis to join our team.

The ideal candidate will have mathematical and statistical experience while also having a creative mind. Problem-solving is an integral skill for this position for interpreting various data sets and making clear recommendations based on that.

You must also have the ability to work in a team with members from multiple disciplines to solve any issues that may arise or improve on any processes where there is scope. The ideal candidate must be confident to present their findings and recommendations in front of senior management who will be involved in big business decisions.

Key Responsibilities

  • Work with large, complex data sets and solve problems by applying advanced analytical methods. 
  • Conduct end-to-end analysis which includes data gathering, processing, visualization, etc.
  • Develop comprehensive understanding of data structures and metrics, advocating for change where needed.
  • Build and prototype analysis pipelines iteratively to provide insights at scale.
  • Work closely with engineers to identify opportunities for improved design and suggest improvements to products.
  • Make business recommendations by presenting your findings to multiple levels of stakeholders.
  • Research and develop forecasting, and optimization methods to improve the quality of our user facing products.
  • Interact cross-functionally with a wide variety of people and teams.

Pre-Requisites

  • 5 years of relevant work experience in data science
  • Proficiency with data mining, mathematics, and statistical analysis
  • Experience with Tableau, SQL, Excel, PowerPoint, and programming languages
  • Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects.

Desirable Skills

  • Experience with statistical software and database languages.
  • Skills in selecting the right statistical tools given a data analysis problem
  • Two or more years of project management experience
  • Professional certification.

Experience and Academic Qualifications

  • At minimum, MSc statistician degree in a quantitative discipline
  • Advanced marketing degree, or MBA is a plus

Must have authorization to work in the United States

Resulticks is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

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