Ekimetrics

About Ekimetrics

Unlocking data science for sustainable business growth

🏢 Corporate, Management Consulting👥 201-500 employees📅 Founded 2006📍 Faubourg-Montmartre, Paris, France💰 $28.1m4.2
B2BMarketingBusiness IntelligenceSaaSData Analysis

Key Highlights

  • Headquartered in Paris, France with 201-500 employees
  • Raised $28.1 million in funding for international expansion
  • Active in over 50 countries, serving major clients like Facebook and Google
  • Offers 5 PTO days plus holidays and equity options

Ekimetrics, headquartered in Paris, France, specializes in data science solutions that drive sustainable business performance. With over 350 data scientists, Ekimetrics has established partnerships with major companies like Facebook, Google, and Snap, and operates in more than 50 countries. The comp...

🎁 Benefits

Ekimetrics offers equity options, 5 PTO days plus holidays, and a unique internal training program with over 70 sessions available on the Eki.Academy ...

🌟 Culture

Ekimetrics fosters a culture centered around maximizing the potential of data science for immediate business gains. The company emphasizes an 'industr...

Overview

Ekimetrics is hiring a Senior Data Scientist in Marketing Analytics to lead projects optimizing marketing performance using data and AI. You'll work with Python, SQL, and machine learning techniques in New York.

Job Description

Who you are

You have 5+ years of experience as a Data Scientist, particularly in marketing analytics, where you've tackled complex business questions using data-driven approaches. Your expertise in Python and SQL allows you to manipulate and analyze large datasets effectively, and you have a strong understanding of machine learning algorithms and their applications in marketing. You are skilled in data visualization techniques, enabling you to present insights clearly to stakeholders. Your collaborative nature helps you work seamlessly with cross-functional teams, including marketing and business strategy experts.

You are passionate about using data to drive business decisions and have a proven track record of delivering actionable insights that enhance marketing performance. You thrive in environments where you can lead projects and mentor junior team members, sharing your knowledge and fostering a culture of learning. You are also comfortable with ambiguity and can adapt to changing project requirements while maintaining a focus on delivering results.

What you'll do

As a Senior Data Scientist at Ekimetrics, you will lead challenging projects with international blue-chip clients across various industries, including Auto, Beauty, Retail, and Financial Services. You will be responsible for building bespoke marketing mix optimization models that leverage both your analytical skills and the company's proprietary data and AI platforms. Your role will involve collaborating closely with clients to understand their business needs and translating them into data-driven solutions that optimize their marketing strategies.

You will conduct thorough data analysis to identify trends and insights that inform marketing decisions, utilizing advanced statistical techniques and machine learning models. Additionally, you will present your findings to clients, ensuring they understand the implications of your analyses and recommendations. You will also play a key role in developing and refining the company's analytics-as-a-service offerings, contributing to the continuous improvement of Ekimetrics' methodologies and tools.

What we offer

Ekimetrics provides a dynamic work environment where you can grow your skills and advance your career in data science and marketing analytics. You will have the opportunity to work with a diverse team of over 400 data science experts globally, engaging in more than 1000 projects for 350+ clients. We are committed to fostering a culture of innovation and collaboration, where your contributions will have a tangible impact on our clients' success. Join us in our mission to optimize marketing performance and drive sustainable business growth through data science.

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