TL;DR

Lead Data Scientist (Marketing Analytics): Developing and optimizing data-driven solutions for marketing channels and campaigns with an accent on audience segmentation, multi-touch attribution, and journey orchestration. Focus on building machine learning models from ideation to deployment, collaborating with clients, and deriving actionable insights from consumer data.

Location: Remote (United States)

Salary: $157,000–$165,000 Annually

Company

%hirify_global% is a premier end-to-end digital transformation consultancy partnering with ambitious brands to create digital solutions.

What you will do

Translate business objectives into short and long-term data solutions for audience segmentation, multi-touch attribution, and journey orchestration.
Produce model-driven solutions using best-practice regression and classification techniques with a focus on marketing strategy.
Collaborate with internal teams and clients to identify opportunities for data-driven solutions and improve digital maturity.
Aggregate and analyze disparate datasets, including web analytics, customer, and marketing data, to deliver actionable insights.
Contribute to a collaborative data science team through brainstorming, peer reviews, and knowledge transfer.

Requirements

Bachelor's degree demonstrating skills in quantitative and scientific methods; advanced degrees or certifications are a plus.
7+ years experience in digital marketing consulting and analytics, with 3+ years applying machine learning algorithms for clients.
Extensive experience building machine learning solutions in a cloud stack (GCP, AWS, or Azure).
Depth of knowledge in digital marketing data, including paid media and web analytics datasets.
Advanced SQL skills (partitioning, nesting, regex, etc.) and high proficiency in Python with a data science toolkit (Sklearn, Tensorflow).
Some experience with data visualization and productionizing ML systems (e.g., exposing via API).

Culture & Benefits

Award-winning culture cemented in core values.
Engagements with world-class, Fortune 500 clients.
Professional growth opportunities with time and support for ongoing learning and certifications.
Flexible working hours coordinating with clients and teams across time zones.
Competitive benefits package supporting team members' needs.
Take-what-you-need vacation policy for rest and relaxation.
Willingness to sponsor eligible candidates for employment visas.