Lead Data Scientist: Marketing Analytics & AI Strategy

UNAVAILABLE; Boston (MA); On-site; USD 112,000 - 172,000; Full time

Job summary

Digitas seeks a Lead Data Scientist to deliver analytic solutions across client applications, including models and AI-driven insights for marketing and business challenges. You will own end-to-end analytics, from data engineering to storytelling for clients, across cross-channel media and customer experience optimization.

You will apply statistical methods, ML, and open-source tools, collaborating with stakeholders to define objectives and timelines, and translating results for diverse audiences.

Qualifications

• 7+ years of experience in data science or analytics.
• Strong expertise in statistical methods and machine learning.
• Experience with AI and distributed computing.
• Proficiency in Python or R, SQL, and big data tools.

Responsibilities

• Owning end-to-end analytical projects involving data engineering, data mining, data modeling, and business strategy.
• Providing internal expertise in statistical methods, machine learning, AI, distributed computing, and open-source programming.
• Providing thought leadership in process, technique, and implementation.
• Collaborating with stakeholders to establish clear analytical objectives, approaches and timelines.
• Summarizing and communicating analytic concepts and results for technical and non-technical audiences.
• Sharing knowledge to advance the Data Science practice.

Job description

Digitas seeks a Lead Data Scientist to deliver analytic solutions across client applications, including models and AI-driven insights for marketing and business challenges. You will own end-to-end analytics, from data engineering to storytelling for clients, across cross-channel media and customer experience optimization.

You will apply statistical methods, ML, and open-source tools, collaborating with stakeholders to define objectives and timelines, and translating results for diverse audiences.