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Data ScientistPublicis Groupe Holdings B.V • United States
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Data Scientist

Publicis Groupe Holdings B.V
  • +1
  • +7
  • US
    United States
  • +1
  • +7
  • US
    United States
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À propos

Company description
Digitas is the Networked Experience Agency, built on the vision that we create magnetic experiences that earn the right for brands to exist in human networks. Today, and tomorrow. We deliver Networked Experiences by leveraging comprehensive data, technology, creative, media and strategy capabilities. Digitas delivers ambitious outcomes via unique solutions that include Creative Experiences, Integrated Media, Addressable Relationships, Social Marketing and Total Commerce. Celebrated by Ad Age as Data and Insights Agency of the Year, U.S Campaign's Brand Experience Agency of the Year, Media Network of the Year and celebrated by Forrester and Gartner, Digitas serves the world's leading brands through a global network comprised of more than 5,500 employees across over 65 offices in 43 countries.
The Digitas culture is made up of fearless, inventive and generous Unicorns of all kinds.
Overview
Employer:
Digitas, Inc.
Job Title:
Data Scientist
Job Requisition:
6630.6346.7
Job Location:
40 Water St, Boston, MA 02109, Required to work from Company Office (Boston, MA) certain days per week. Telecommuting allowed for balance of week.
Job Type:
Full Time
Rate of Pay:
$123,500 - $129,675
Actual compensation within the range will be dependent upon, but not limited to, the individual's skills, experience, qualifications, location, and applicable employment laws.
Responsibilities
Duties:
Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data oriented programming languages and visualization software. Translate marketing and business questions into data queries. Provide product insights and analytics solutions, and design fully automated data pipelines. Conduct exploratory analysis to identify relevant insights and useful transformations. Apply quantitative techniques to uncover latent patterns in the data. Interpret data, analytical results, and visuals to generate conclusions and recommendations. Test scalable data pipelines or models for real-time applications. Ensure that analytic tasks and results meet established objectives and timelines. Connect business goals with MTA (Multi-Touch Attribution) model results. Analyze log-level data and provide customer journey analysis insights and evaluations of media channel performance. Develop and implement multi-faceted solutions for complex marketing and business challenges from cross channel media and customer experience optimization to segmentation, targeting and business strategy. Involved in data engineering and data cleansing techniques to ensure data quality using Google Cloud platform and SQL techniques. Build new models and apply advanced analytics using machine learning techniques to help existing capabilities and strive for improvement. Build new customer states by accessing trends through market research and presenting the results using Tableau. Guide analytics team to interpret large data and recommend analytical solutions.
Qualifications
Requirements:
Employer will accept a Master's degree in Computer Science, Data Science, Engineering, Marketing, or a related field and two years of experience in the job offered or two years of experience in any occupation in which the required experience was gained. Experience must include one year in each of the following:
1. Build propensity models using Python. 2. Analyze log-level data with R under the AWS framework. 3. Utilize SQL and Google Cloud platforms for data engineering and data cleansing techniques to ensure quality. 4. Build new models and apply advanced analytics using machine learning techniques to help existing capabilities and strive for improvement. 5. Use Tableau to build new customer states by accessing trends through market research and presenting the results. 6. Interpret large data using SQL.
Required to work from Company Office (Boston, MA) certain days per week. Telecommuting allowed for balance of week.
Contact:
In order to be considered for this position must reference job 6630.6346.7.
Additional information
Our Publicis Groupe motto "Viva La Différence" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.
Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.
If you require accommodation or assistance with the application or onboarding process specifically, please contact USMSTACompliance@publicis.com.
Compensation Range: $72,390 - $104,720. 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 the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 04/01/2025 .
All your information will be kept confidential according to EEO guidelines.
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Compétences idéales

  • AWS
  • Data Visualization
  • Machine Learning
  • Python
  • R
  • SQL
  • Tableau
  • United States

Expérience professionnelle

  • Data Scientist

Compétences linguistiques

  • English
Avis aux utilisateurs

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