Lead Data Scientist (AI)

Location: Boston, United States

Salary: USD $112,290–$172,032 annually

Company

hirify.global is a networked experience agency delivering data, technology, creative, media, and strategy solutions for leading global brands.

What you will do

• Own end-to-end analytical projects spanning data engineering, data mining, data modeling, and business strategy.
• Develop and implement inferential and predictive models, machine learning algorithms, and AI solutions.
• Address marketing and business challenges including cross-channel media and customer experience optimization, segmentation, targeting, and business strategy.
• Integrate, process, and manipulate data from multiple sources using distributed systems and customer data pipelines.
• Collaborate with internal and external stakeholders to define analytical objectives, approaches, and timelines.
• Visualize, communicate, and document analytical concepts, processes, and results for technical and non-technical audiences.

Requirements

• 7+ years of professional experience in data science or analytics.
• Strong expertise in statistical methods, machine learning, AI, distributed computing, and/or open-source programming.
• Experience integrating diverse data sources, methods, and applications to achieve analytical objectives.
• Experience with statistical and machine learning methods, including hypothesis testing, feature transformation, dimensionality reduction, supervised and unsupervised learning, and model validation.
• Proficiency in Python or R, SQL, and distributed computing systems such as Hadoop or AWS.
• Ability to communicate complex technical concepts to non-technical audiences and apply analytics to marketing problems.

Nice to have

• Familiarity with Linux and/or Spark.
• Experience with prompt-based interaction and generative AI tools such as ChatGPT, Google Gemini, DALL·E, or Midjourney.

Culture & Benefits

• Fast-paced environment with a flat structure.
• Medical, dental, vision, and disability coverage.
• 401(k), paid time off, parental and family care leave, and family-forming assistance.
• Tuition reimbursement and flexible time off.
• Inclusive workplace focused on belonging and equitable experiences.