Technical Manager

United StatesFull Time Contractmid

Product ManagementOtherTechnical Product Manager

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Quick Summary

Overview

Ekimetrics is a global leader in Marketing & Commercial effectiveness and AI-powered solutions. Since 2006,

Technical Tools

Product ManagementOtherTechnical Product Manager

Ekimetrics is a global leader in Marketing & Commercial effectiveness and AI-powered solutions. Since 2006, we’ve been helping businesses optimize marketing and operations by combining AI with business and tech expertise across 4 domains: Marketing & commercial effectiveness, Customer analytics, Operational excellence, ESG & sustainability.

With a full in-house team and offices in Paris, London, New York, Hong Kong, and Shanghai, we deliver tailor-made solutions that turn data into real positive impact, leveraging our unique combination of technology and services.

We excel at delivering AI impact at scale. Our mission is to harness this power to tackle the world’s most urgent issues. We commit to responsibility and frugality in AI, systematic AI impact at scale, and loyalty to our values and DNA.

Responsibilities

~1 min read

As a Technical Manager at Ekimetics, you will design and Implement scalable Data Science solutions. Design, implement and evaluate analytical models. Lead technical delivery across multiple client engagements. Guide junior teams in technical solution implementation. Validate model results and identify any necessary areas for model improvement. Work across cloud platforms (Databricks, GCP, Azure). Act as a technical advisor and thought partner to senior stakeholders. Present complex insights in business terms. Lead technical pre-sales and proposal development for new projects. Develop Go To Market material for internal solutions. Share best practices across company’s global teams. Support internal initiatives such as R&D and thought leadership.

Requirements

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The position of Technical Manager at Ekimetrics requires the candidate to have a Master’s degree in Engineering (Data Science) plus a minimum of 12 months of experience in data science analysis and computational linguistics. The individual must also have a proficiency in Python and a background in machine learning and data science solutions as well as analytical methodology creation for novel problems and solution design.