Director, Data Science - Publicis Groupe
Philadelphia, PA
About the Job
Company Description
Digitas Health is the Agency of Now: the first global connected-health agency, purpose-built for marketing today. Digitas Health specializes in helping health brands navigate a complex and shifting media environment to create deeper, more relevant connections with their consumer and professional customers. With offices in Philadelphia, New York, San Francisco, and London, it is a member of the world’s largest healthcare communications network, Publicis Health. As a member of this elite network, Digitas Health is also a member of the Paris-based Publicis Groupe S.A. (Euronext Paris: FR0000130577), the world’s third-largest communications group, second-largest media counsel and buying group, and a leader in digital communications.
Web: www.digitashealth.com | Facebook: www.facebook.com/digitashealth | Twitter: www.twitter.com/digitas_health
Job Description
You will manage all phases of data analytics, (data extraction, analysis, manipulation, synthesis & interpretation, and summary) along with the development, validation, testing, and maintenance of analytic tools, models, and algorithms for client projects and operational projects. You enjoy identifying statistically significant causal relationships, are comfortable working with big data, and fascinated by consumer behavior.
This is a hybrid role, requiring three days in-office each week. If you are contacted for an interview, your recruiter will discuss specifics with you, inclusive of any necessary reasonable accommodations. #LI-Hybrid
Your Impact:
+ You will design the data management and analytics environment to promote industry-leading analytic solutions.
+ Supervise department data scientists/statisticians.
+ Identify and develop solutions to add to INSAGIC’s advanced analytics portfolio.
+ Provide advanced analytic support for and share statistical best practices with department analysts.
+ Identify statistical methods and test designs for specific analytic needs.
+ Participate in the development, validation and delivery of algorithms, statistical models and reporting tools.
+ Work in a team environment, working with multiple departments including internal and external customers.
+ Analyze large datasets to extract applicable insights and inform experimental design and model development.
+ Mentor and help train junior level team members.
+ Translate business questions and apply statistical models and analyses to answer questions in an actionable and reproducible manner.
+ Promote automation of reoccurring reports and model monitoring systems.
Qualifications
+ Bachelor's degree in statistics, mathematics, or equivalent required, with master’s degree preferred.
+ At least 10 years of experience in statistical analysis or data mining environments such as R, Python, or equivalent.
+ At least 5 years of supervisory experience
+ Expert proficiency in statistical analysis software applications such as SAS, Stata, SPSS, or equivalent.
+ Expert proficiency in AI powered tools such as Data robot or equivalent
+ Expert proficiency in multivariate analytics, econometric modeling, Bayesian probability, and analysis of variance, with advanced knowledge of data management concepts and SQL.
+ Project management skills with a demonstrated ability to execute against multiple projects.
+ Strong communication and interpersonal skills; ability to work in team environment; experience communicating with client stakeholders and senior leadership on complex topics.
+ Ability to work independently and manage a team of direct reports, with guidance from the GVP.
+ Mastery of best practices regarding sampling, multivariate methods, and tests of statistical significance
+ Expert ability to identify appropriate statistical procedures to address specific business or data insight challenges.
+ Advanced data hygiene & architecture knowledge with the ability to perform complex queries in a SQL Server environment.
+ Expert knowledge of deterministic and stochastic modeling concepts and their applications in predictive modeling24-12137
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 .
All your information will be kept confidential according to EEO guidelines.
Digitas Health is the Agency of Now: the first global connected-health agency, purpose-built for marketing today. Digitas Health specializes in helping health brands navigate a complex and shifting media environment to create deeper, more relevant connections with their consumer and professional customers. With offices in Philadelphia, New York, San Francisco, and London, it is a member of the world’s largest healthcare communications network, Publicis Health. As a member of this elite network, Digitas Health is also a member of the Paris-based Publicis Groupe S.A. (Euronext Paris: FR0000130577), the world’s third-largest communications group, second-largest media counsel and buying group, and a leader in digital communications.
Web: www.digitashealth.com | Facebook: www.facebook.com/digitashealth | Twitter: www.twitter.com/digitas_health
Job Description
You will manage all phases of data analytics, (data extraction, analysis, manipulation, synthesis & interpretation, and summary) along with the development, validation, testing, and maintenance of analytic tools, models, and algorithms for client projects and operational projects. You enjoy identifying statistically significant causal relationships, are comfortable working with big data, and fascinated by consumer behavior.
This is a hybrid role, requiring three days in-office each week. If you are contacted for an interview, your recruiter will discuss specifics with you, inclusive of any necessary reasonable accommodations. #LI-Hybrid
Your Impact:
+ You will design the data management and analytics environment to promote industry-leading analytic solutions.
+ Supervise department data scientists/statisticians.
+ Identify and develop solutions to add to INSAGIC’s advanced analytics portfolio.
+ Provide advanced analytic support for and share statistical best practices with department analysts.
+ Identify statistical methods and test designs for specific analytic needs.
+ Participate in the development, validation and delivery of algorithms, statistical models and reporting tools.
+ Work in a team environment, working with multiple departments including internal and external customers.
+ Analyze large datasets to extract applicable insights and inform experimental design and model development.
+ Mentor and help train junior level team members.
+ Translate business questions and apply statistical models and analyses to answer questions in an actionable and reproducible manner.
+ Promote automation of reoccurring reports and model monitoring systems.
Qualifications
+ Bachelor's degree in statistics, mathematics, or equivalent required, with master’s degree preferred.
+ At least 10 years of experience in statistical analysis or data mining environments such as R, Python, or equivalent.
+ At least 5 years of supervisory experience
+ Expert proficiency in statistical analysis software applications such as SAS, Stata, SPSS, or equivalent.
+ Expert proficiency in AI powered tools such as Data robot or equivalent
+ Expert proficiency in multivariate analytics, econometric modeling, Bayesian probability, and analysis of variance, with advanced knowledge of data management concepts and SQL.
+ Project management skills with a demonstrated ability to execute against multiple projects.
+ Strong communication and interpersonal skills; ability to work in team environment; experience communicating with client stakeholders and senior leadership on complex topics.
+ Ability to work independently and manage a team of direct reports, with guidance from the GVP.
+ Mastery of best practices regarding sampling, multivariate methods, and tests of statistical significance
+ Expert ability to identify appropriate statistical procedures to address specific business or data insight challenges.
+ Advanced data hygiene & architecture knowledge with the ability to perform complex queries in a SQL Server environment.
+ Expert knowledge of deterministic and stochastic modeling concepts and their applications in predictive modeling24-12137
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 .
All your information will be kept confidential according to EEO guidelines.
Source : Publicis Groupe