Marketing Data Science Manager Job at Myticas Consulting

Manager in Marketing Analytics & Data Science

Join Ekimetrics, a leading data science and AI solutions provider, as a Manager ...

Location

United States , New York

Salary:

140000.00 USD / Year

Chat3D

Expiration Date

Until further notice

Requirements

Strong knowledge and experience in Marketing Mix Modeling/Optimization (MMM/MMO) or marketing and/or media measurement and effectiveness
Understanding of media variables/econometrics and prior modelling experience across large data sets
Knowledge and/or understanding of coding languages such as Python (preferable) or R
Experience working with clients and account management
Strong ability to develop new and long lasting client relationships at senior levels (including business leaders) within the sector and a focus on complex analytic issues
Team oriented and collaborative working style, both with clients and those within the organization
Capacity to develop high impact thought leadership that articulates a forward thinking view of the market
Excellent communication and presentation skills - especially translating complex technical findings into insights and stories for stakeholders
Demonstrated ability to develop younger talent and build a high performing team

Job Responsibility

Ownership on the client relationship of the managed accounts. Promote a confidence and proximity relationship with blue chip clients at EXEC Level
Ensure the day-to-day operational management of key accounts and coordinate several projects simultaneously
Cultivating your external network with a client centric approach
Responsible for the production of statistics and econometrics modeling
Ensure the respect of Ekimetrics standards of Excellence on the strategic recommendations delivered
Ability to manage data scientists
Lead strategic consulting missions for key clients around the company portfolio. The ideal candidate will bring real value into our projects by helping top management to define marketing & business strategic direction and implement changes needed to achieve sustainable performance improvement
Broad client relationships at VP level in order to achieve new business opportunities
Recruit and align resources to hire, develop staff, manage performance, and create/enhance data scientists at all levels
Actively work with the team to improve team’s engagement, retain top performers and support the development of future leaders at Ekimetrics

What we offer

Medical insurance, dental and vision
An emphasis on work-life-balance and generous PTO
Dynamic environment with a strong culture and great offices
Close-knit team with friendly environment, bi-monthly team events and more
Creative and entrepreneurial start-up environment with vertical mobility
Best-in-class methodologies and cutting edge technologies
Unique training package with 70+ sessions
Growth to develop a double profile in data science and strategic consulting
Client exposure up to the executive level
Opportunities for international mobility

Fulltime

Manager in Marketing Analytics & Data Science

Join Ekimetrics, a leading data science and AI solutions provider, as a Manager ...

Location

United States , New York

Salary:

140000.00 USD / Year

Assessfirst

Expiration Date

Until further notice

Requirements

Strong knowledge and experience in Marketing Mix Modeling/Optimization (MMM/MMO) or marketing and/or media measurement and effectiveness
Understanding of media variables/econometrics and prior modelling experience across large data sets
Knowledge and/or understanding of coding languages such as Python (preferable) or R
Experience working with clients and account management
Strong ability to develop new and long lasting client relationships at senior levels (including business leaders) within the sector and a focus on complex analytic issues
Team oriented and collaborative working style, both with clients and those within the organization
Capacity to develop high impact thought leadership that articulates a forward thinking view of the market
Excellent communication and presentation skills - especially translating complex technical findings into insights and stories for stakeholders
Demonstrated ability to develop younger talent and build a high performing team

Job Responsibility

Ownership on the client relationship of the managed accounts. Promote a confidence and proximity relationship with blue chip clients at EXEC Level
Ensure the day-to-day operational management of key accounts and coordinate several projects simultaneously
Cultivating your external network with a client centric approach
Responsible for the production of statistics and econometrics modeling
Ensure the respect of Ekimetrics standards of Excellence on the strategic recommendations delivered
Ability to manage data scientists
Lead strategic consulting missions for key clients around the company portfolio. The ideal candidate will bring real value into our projects by helping top management to define marketing & business strategic direction and implement changes needed to achieve sustainable performance improvement
Broad client relationships at VP level in order to achieve new business opportunities
Recruit and align resources to hire, develop staff, manage performance, and create/enhance data scientists at all levels
Actively work with the team to improve team’s engagement, retain top performers and support the development of future leaders at Ekimetrics

What we offer

Medical insurance, dental and vision
An emphasis on work-life-balance and generous PTO
Dynamic environment with a strong culture and great offices
Close-knit team with friendly environment, bi-monthly team events and more
Creative and entrepreneurial start-up environment with vertical mobility
Best-in-class methodologies and cutting edge technologies
Unique training package with 70+ sessions
Growth to develop a double profile in data science and strategic consulting
Client exposure up to the executive level
Opportunities for international mobility

Fulltime

Data Science Manager

As a Data Science Manager within the Customer Development XOPS team in Data Foun...

Location

United States , Hoboken

Salary:

103000.00 - 154400.00 USD / Year

Unilever

Expiration Date

Until further notice

Requirements

Degree qualified in a relevant technical discipline (Data Science, Computer Science, Engineering, Mathematics, Statistics, Econometrics, or similar)
Proven experience leading data science teams working on complex analytics initiatives in a commercial or product-driven environment
Strong background in data science modelling, with deep expertise in several of the following: Econometric modelling (Regression, Bayesian approaches) especially in the context of pricing and promotions in the CPG/Retail space
Time series forecasting
Simulation and optimisation tools
Experience designing and industrialising machine learning solutions at scale
exposure to agent-based AI systems is a strong advantage
Advanced proficiency in Python, Spark, and modern analytics stacks
hands-on experience with Databricks and Azure
Strong people leader with experience coaching and developing talent in multidisciplinary teams

Job Responsibility

Own and shape the data science roadmap for products within our Customer Development (CD) portfolio, aligned to commercial priorities and business outcomes
Lead the design, development, and deployment of diagnostic, predictive, and prescriptive analytics solutions, ensuring robustness, scalability, and interpretability
Set modelling and analytical standards across the team, covering classical statistical methods, machine learning, and emerging Generative and Agentic AI capabilities
Ensure solutions are industrialised and production-ready, leveraging cloud platforms (Azure, Databricks) and aligned with MLOps best practices
Lead, coach, and develop a team of data scientists, supporting both technical growth and career progression
Foster a culture of high ownership, continuous improvement, and learning, encouraging experimentation while maintaining delivery discipline
Provide technical guidance and review, acting as a mentor and escalation point for complex analytical challenges
Partner closely with Product, Engineering, and Business stakeholders to shape problem definitions, prioritise initiatives, and drive adoption of data science solutions
Translate complex analytics into clear, actionable insights for senior stakeholders, supporting data-driven decision-making
Balance short-term delivery with long-term capability building, ensuring alignment between local market needs and global product strategy

What we offer

Health insurance (including prescription drug, dental, and vision coverage)
retirement savings benefits
life insurance and disability benefits
parental leave
sick leave
paid vacation and holidays
access to numerous voluntary benefits

Fulltime

Senior Data Science Manager

Location

United Kingdom , London

Salary:

Not provided

Genius Sports

Expiration Date

Until further notice

Requirements

A BSc, MSc or PhD in Data Science, Mathematics, Computer Science, Computational Statistics, Machine Learning or other STEM subject
Strong leadership skills with a proven track record of successful delivery of high impact solutions to complex data science problems
Mentoring and Staff Development
Expert knowledge of probability and statistics
Expertise in a broad range of data science / machine learning algorithms (Monte Carlo simulation, neural networks, logistic regression, random forest, etc.) with a proven track record of delivering solutions to complex problems
Proficiency with Python or other scripting/programming languages (R, Matlab, etc)
Ability to bring clarity to complex domains, rapidly developing a deep understanding and challenging unclear requirements
Familiarity with sports rules and strategies (football, American football, basketball, tennis, ice hockey, baseball, etc.)

Job Responsibility

Lead a team of data scientists developing the next generation of Genius Sports’ market leading sports models
Oversee the implementation of predictive models across many sports
Lead your team in the development of algorithms to calculate the probabilities of sporting outcomes

Fulltime

Principal Product Manager, Data Science & Market Research

We're building the data-driven intelligence layer for the Windows Platform & Dev...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Job Responsibility

Define and own the data science and market research strategy for the Windows Platform & Developer organization, aligning research priorities to business and product goals.
Build and maintain analytical frameworks that track platform health, developer adoption, ecosystem growth, and competitive positioning across Windows, macOS, Linux, and web/cross-platform alternatives.
Deliver actionable market intelligence on developer trends, framework adoption and enterprise modernization patterns.
Partner with engineering, product, and leadership teams to define KPIs, instrument telemetry, and build dashboards that drive data-informed decision-making.
Lead primary and secondary research—developer surveys, competitive analysis, win/loss studies, and ecosystem assessments—to surface opportunities and risks.
Translate complex data into clear, compelling narratives for senior leadership to support investment decisions, roadmap prioritization, and executive reviews.
Engage with developer communities, enterprise customers, ISV partners, and internal stakeholders to validate hypotheses and ground insights in real-world signals.

Fulltime

Executive Manager - Marketing Data & Analytics

This is the primary Analytics partner that supports the US-based eCommerce Marke...

Location

India , Hyderabad

Salary:

Not provided

Pepsico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in a quantitative field (e.g. statistics, economics, mathematics, business administration, marketing)
Masters degree preferred
10+ years of experience in marketing/media strategy & analytics and measurement
preferably in the CPG/FMCG space and for a Global company in the digital media space
Experience in omnichannel marketing, attribution, A/B and Multivariate test design and implementation, and ROI measurement
Robust experience in the languages of data manipulation (e.g. SQL, R) and in visualization (e.g. Tableau, Datorama)
High proficiency in Microsoft Excel and PowerPoint. Mastery of data, ingest, manipulate and model data
Strong organizational skills, with the ability to effectively manage projects and communicate effectively
Strong communication skills (both written and verbal) and the ability to distill complex ideas down to clear and concise business findings and recommendations
Requires a high level of regular/daily interaction and co-ordination with several teams

Job Responsibility

Partner with Customer & Brand Marketing teams on various analysis: A/B testing, Campaign impact measurement, Investment strategy, Financial forecasting, and retailer data partnerships. CONSULT, EXECUTE
Partner with Search Marketing team on various analysis: Search incrementality experiments, Search strategy/investment recommendations. CONSULT, EXECUTE
Partner with Data Science and Tech teams to consult on retailer data warehousing and architecture, automated reporting/dashboards, and ROI engine. CONSULT, EXECUTE
Lead ROI Engine process on behalf of eComm Marketing – collect, clean, and submit all Customer and Search Marketing campaign data
validate data and reporting output at various stages of ROI Engine model
Lead & Build RMN sufficiency modelling to feed into critical PEP processes i.e. AOP
This role embodies a mixture of CONSULTING (being the Subject Matter Expertise for various cross-functional teams) and EXECUTION (leading/conducting deep analysis to guide business decisions)

Fulltime

Senior Manager Marketing Science Ops

Location

United States , Thousand Oaks

Salary:

137144.95 - 185549.05 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

Doctorate degree and 2 years of experience in data acquisition, digital media, data governance or analytics, ideally within a regulated industry
Master's degree and 4 years of experience in data acquisition, digital media, data governance or analytics, ideally within a regulated industry
Bachelor's degree and 6 years of experience in data acquisition, digital media, data governance or analytics, ideally within a regulated industry
Associate's degree and 10 years of experience in data acquisition, digital media, data governance or analytics, ideally within a regulated industry
High school diploma / GED and 12 years of experience in data acquisition, digital media, data governance or analytics, ideally within a regulated industry

Job Responsibility

Lead and mentor Data Engineering Leads and global teams (Portugal and India), driving a culture of accountability, reliability, and continuous improvement
Own day-to-day Data engineering operations, ensuring consistent, high-quality delivery aligned to KPIs, SLAs, and enterprise priorities
Oversee intake, prioritization, and execution through Jira and agile workflows, ensuring transparency and predictable delivery
Partner with internal and external stakeholders to align on priorities, set clear expectations, and ensure timelines are well understood and adhered to
Oversee data vendor governance, ensuring accountability for quality, timeliness, and other key performance metrics to maintain reliable data pipelines
Proactively communicate delays, risks, and unforeseen issues to stakeholders to ensure transparency and informed data usage
Partner with stakeholders to understand business needs and translate them into data and pipeline requirements
Support implementation of KPI definitions within data models and pipelines
Ensure alignment between business logic and data engineering outputs
Oversee end-to-end delivery of data pipelines, transformations, and data models

What we offer

A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models where possible

Fulltime

Manager, Data Science

Intuit is the global financial technology platform that powers prosperity for th...

Location

Canada , Toronto

Salary:

168000.00 - 227500.00 USD / Year

Intuit

Expiration Date

Until further notice

Requirements

7+ years of experience applying data science, advanced analytics, or quantitative methods to marketing, growth, or lifecycle use cases
Experience leading and developing teams of data analysts or data scientists, with a demonstrated ability to coach both technical and business skills
Strong expertise in statistics, experimental design, and causal inference, including A/B testing, multivariate testing, and incremental lift measurement
Hands-on experience building or operationalizing machine learning models (e.g., propensity, segmentation, churn, personalization) in partnership with engineering or platform teams
Proficiency with SQL and Python (or equivalent) for data analysis, experimentation, and modeling
Proven ability to lead cross-functional analytical projects end-to-end, from problem framing through execution and executive readout
Strong data storytelling and influence skills, with experience presenting insights and recommendations to senior leaders
Domain experience in lifecycle marketing, CRM, fintech, SaaS, or marketing technology preferred

Job Responsibility

Lead a team of marketing data scientists in defining and executing end-to-end data science roadmaps that support lifecycle marketing across QuickBooks Services (Capital, Payroll, Payments, Bill Pay) and Mailchimp, aligned to short- and long-term business outcomes
Own the measurement, experimentation, and modeling strategy for lifecycle marketing initiatives, including onboarding, attach, upsell, retention, and active use, leveraging causal inference, experimentation frameworks, and advanced analytics
Design, evaluate, and scale incrementality measurement approaches, including randomized experiments, holdouts, and quasi-experimental methods, to quantify the true impact of lifecycle marketing across Email, IPD, Push, SMS, Web, and cross-channel programs
Drive development and adoption of machine learning models for lifecycle marketing use cases such as propensity scoring, churn risk, personalization, and next-best-action, in partnership with central DS and ML platform teams
Translate complex analytical findings into clear, data-backed perspectives on marketing and business performance, with actionable recommendations tied to customer growth, revenue, and retention
Partner closely with Lifecycle Marketing, CRM Analytics, Product, GTM, and Finance to ensure strong metric definitions, data quality, and alignment between marketing performance and financial outcomes
Shape forward-looking data science capabilities by identifying gaps in experimentation, modeling, and data infrastructure, and influencing investments that improve learning velocity and decision-making
Manage a team of data scientists and contractors, including coaching on technical rigor, experimental design, modeling best practices, and data storytelling, while owning prioritization, intake, and delivery

Fulltime

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Marketing Data Science Manager

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