Empleos actuales relacionados con Business and Marketing Data Scientist, gTech Ads - Ciudad de México, Ciudad de México - Google
-
Data Scientist
hace 2 semanas
Ciudad de México, Ciudad de México Within A tiempo completoAbout the Role: We are looking for a versatile Data Scientist with a strong marketing background to join our dynamic team. As part of WITHIN, you will work on innovative end-to-end data solutions that drive growth for some of the most iconic brands in the world. This role is perfect for someone who enjoys thinking critically about complex data problems,...
-
Senior Data Scientist
hace 1 semana
Ciudad de México, Ciudad de México Activate Talent A tiempo completoJob Title: Senior Data ScientistJob Type: Full-time / RemoteTime Zone: PST time zoneOverview We are seeking an experienced Senior Data Scientist to play a key role in advancing our marketing intelligence capabilities. This role bridges the gap between data science, product development, and customer engagement—designing and implementing reliable measurement...
-
Data Scientist
hace 6 días
Ciudad de México, Ciudad de México BHUVI IT SOLUTIONS A tiempo completoThe Role: Mexico to USA with VISA Sponsorship & Green cardYou will be responsible for : Creating predictive and prescriptive models that could have a positive impact on the business.Driving all data analytics activities ranging from conceptualisation, visualisation to operationalisation.Performing statistical analysis on historical data to validate...
-
Business Data Scientist
hace 4 días
Ciudad de México, Ciudad de México Kinaxis A tiempo completoAbout KinaxisElevate your career journey by embracing a new challenge with Kinaxis. We are experts in tech, but it's really our people who give us passion to always seek ways to do things better. As such, we're serious about your career growth and professional development, because People matter at Kinaxis.In 1984, w e started out as a team of three engineers...
-
Business Senior Analyst Ads
hace 4 días
Ciudad de México, Ciudad de México DiDi Global A tiempo completoCompany OverviewDiDi Global Inc. is the world's leading mobility technology platform. It offers a wide range of app-based services across markets including Asia-Pacific, Latin America and Africa, including ride hailing, taxi hailing, chauffeur, hitch and other forms of shared mobility as well as auto solutions, food delivery, intra-city freight, and...
-
Senior Data Scientist
hace 1 semana
Ciudad de México, Ciudad de México Tala A tiempo completoAbout Tala At Tala, we're applying advanced technology and human creativity to solve what legacy institutions can't or won't. We are a global financial infrastructure company on a mission to unleash the economic power of the global majority, recognizing that today's financial infrastructure doesn't work for most of the world's population. Our pioneering...
-
Associate Data Scientist
hace 4 días
Ciudad de México, Ciudad de México Cotiviti A tiempo completoOverviewWe are seeking a highly motivated and detail-oriented Associate Data Scientist to join our innovative team. This entry-level role is ideal for recent graduates or individuals with limited experience in data science but with a strong passion for data and a keen interest in the healthcare industry. The Associate Data Scientist will work under the...
-
Marketing Assistant
hace 1 semana
Ciudad de México, Ciudad de México Spotlight Marketing and Branding A tiempo completoMarketing Assistant - Remote - US CompanyHiring multiple positions. PLEASE SEE an additional hiring step at the bottom. All candidates who apply correctly will be considered.If you love marketing, let's talk We are a US-based agency that is hiring full-time, remote positions.Pay will be in USD, between $1200-$1800 per month.We provide our clients with a...
-
Data Scientist
hace 6 días
Ciudad de México, Ciudad de México ETAP Software A tiempo completoETAP empowers customers to make informed decisions throughout the life cycle of their projects with innovative software solutions for electrical systems. By applying ETAP solutions, customers experience continuous intelligence during design and engineering and into operations and maintenance using a unified electrical digital twin platform. ETAP supports...
-
Lead/Staff Data Scientist
hace 4 días
Ciudad de México, Ciudad de México Salesforce A tiempo completoTo get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategoryDataJob DetailsAbout SalesforceSalesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword —...
Business and Marketing Data Scientist, gTech Ads
hace 3 semanas
Please submit your resume in English - we can only consider applications submitted in this language.
Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Mexico City, CDMX, Mexico; Buenos Aires, Argentina
.
Minimum qualifications:
- Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
- 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
- Ability to communicate in English and Spanish fluently to interact with local stakeholders.
Preferred qualifications:
- 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
- Experience with statistical and quantitative modeling and forecasting.
- Experience with machine learning techniques.
- Experience in data extraction, analysis, and reporting.
- Experience in Data Analysis, Machine Learning, and A/B Testing.
About the job
Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.
The gTech Ads Marketing Data Science team helps measure and optimize marketing Return on Investment (ROI) for Google's largest clients. We help build bespoke models that address client's key business questions. We are multi-disciplined professionals, PhDs, statisticians, economists, engineers, and former consultants with experience in Data Science, Machine Learning and Marketing Analytics. We learn the technologies that drive Google products and bring those innovations to life in the context of specific client engagements.
We are positioned within the gTech Ads Large Customer Sales (LCS) Regional team which takes a creative, collaborative, and customer-centric approach to provide consulting and solutions to advertisers and agency partners. Through technical implementation, optimization, and engineering solutions, gTech Professional Services helps customers achieve their business goals while building long-term tech and marketing capabilities.
Responsibilities
- Lead data science aspects of client engagements in the area of marketing effectiveness and marketing portfolio management leveraging Machine Learning (ML) and statistics.
- Collaborate with customers to unpack their problems and identify the best statistical techniques that can solve the problem; own the development of a modeling framework.
- Engage important stakeholders to assess data and model readiness and be able to scale a proof-of-concept to a larger solution.
- Work with customers and internal teams to translate data and model results into tactical insights that are actionable for decision-making. Co-present to and work with clients to integrate recommendations into business processes.
- Collaborate with Product/Engineering teams to increase and optimize capabilities of our Applied data science team, employing methods which create opportunities for scale, proactively helping to drive innovation.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
