Senior Analyst, Data Science

Annalect; New York (NY); Hybrid; USD 84,000 - 120,000; Full time

Job summary

Annalect is seeking a Senior Analyst in Data Science to utilize innovative data science methods for market research. You will collaborate with teams to create advertising signals and insights, leveraging your expertise in machine learning and data management. Join a dynamic team focused on delivering actionable analytics and fostering marketing strategies in a fun, collaborative environment.

Benefits

Generous PTO

Collaborative environment

Flexible work arrangements

Qualifications

• 3 to 5 years of relevant experience.
• Hands-on expertise in Python; SQL proficiency preferred.
• Experience with cloud computing and analytics on servers.

Responsibilities

• Create actionable insights from market research data.
• Participate in machine learning projects and maintain data libraries.
• Build tools for data processing and visualization.

Skills

Data management

Machine learning

Statistical modeling

Data storytelling

Education

Bachelor’s degree in statistics, mathematics, economics, or related fields

Advanced quantitative degree or intensive bootcamp experience

Tools

Python

SQL

AWS

Google Cloud Platform

Job description

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Global Talent Acquisition @Omnicom Media Group | Annalect

About Annalect

Annalect is the Data & Technology arm of Omnicom Media Group

Annalect’s 4,000+ innovators leverage data and technology to help clients across Omnicom build relationships that matter — whether that means fostering consumers’ trust in brands, building new experiences, or delivering advanced analytics where it’s most needed. Annalect is the driving force behind Omni, Omnicom’s unique open operating system, which works hand-in-hand with clients’ and partners’ data and tools, to orchestrate better marketing outcomes.

Annalect’s unique approach to data and technology – one that relies on transparency, neutrality, and interoperability – allows us to deliver purpose-built and scalable solutions that make data actionable. Our advanced teams of product leaders, data scientists, consultants, and engineers enable us to meet the business goals of our internal and external clients.

Team Overview

We are a team of engaged, data-curious professionals who continuously seek new and improved ways to learn from our extensive data assets. We share ideas, code, outcomes, and credit for our collective efforts. We're looking for explorative, independent data scientists to grow with us as we tackle ever-changing challenges.

Join our dynamic and diverse team at Annalect – data solutions for marketers, by marketers.

Position Overview

As a member of the Annalect Data Science team, your primary responsibility will be to make market research results actionable using industry leading data science methods. The successful candidate will directly work with and support the research team to create new adverting signals to be used in building out advertising audiences. You will work with the rest of the data science team to build new utilities, improve existing solutions and explore a wide variety of datasets.

Responsibilities

• Utilize a deterministic approach to creating advertising signals from market research. Participate in small sample size machine learning classification projects from data munging and wrangling through model fit, model scoring, model monitoring and maintenance.
• Translate quantitative results back into actionable insights and interesting storytelling
• Use data management skills to maintain a library of market research data used to develop signals. Library used to mine industry specific insights utilized by clients to develop marketing and advertising strategies.
• Work with and combine data from multiple event-based media sources (ad servers, DSPs and tag management solutions) and user-based files (client customer data, panel data, 3rd party datasets) warehoused on multiple platforms (AWS Redshift, AWS Athena, and Google Cloud Platform)
• Hands-on machine learning and statistical modeling
• Build and maintain tools to process, visualize and analyze data
• Utilize machine learning and cluster analysis to create audience segmentations
• Document and sharing knowledge with a wide variety of Annalect and Omnicom teams
  

Education & Experience

• 3 to 5 years of relevant experience
• Bachelor’s degree in statistics, mathematics, economics, engineering, information management, social sciences or business/marketing related fields. Advanced quantitative degree or intensive bootcamp experience is preferred.
• Must have hands-on expertise in Python, SQL proficiency preferred as well
• Experience with cloud computing such as AWS or Google Cloud Platform and others
• Experience with analytics on servers preferred.
• Experience leading and directing data scientist efforts
  
  

Perks of working at Annalect

• Culture! We have an incredibly fun, collaborative environment that encourages engagement and work/life balance
• Generous PTO that includes vacation days, personal days, a fantastic Summer Friday program and extended time off around the holiday season.
• As part of Omnicom, we have the backing and resources of a global billion-dollar company, but also have the flexibility and pace of a “startup” - we move fast, break things, and innovate.
  
  

This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health insurance, vision insurance, dental insurance, 401(k), Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account, vacation days, sick days, personal days, paid parental leave, paid medical leave, and STD/LTD insurance benefits.

Compensation Range

$84,000—$120,000 USD

This role is hybrid, requiring three (3) days per week in the office. The remaining two (2) days may be worked remotely. Specific in-office days will be discussed during the interview process, with flexibility to align with team needs. Please note that the number or required in-office days may be adjusted over time, potentially increasing the number of required in-office days based on business needs.

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Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Advertising Services

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