Business Data Scientist, gTech Ads Professional Services
Company: Google Inc.
Location: Los Angeles
Posted on: October 18, 2024
Job Description:
Business Data Scientist, gTech Ads Professional
Servicescorporate_fare Google place Chicago, IL, USA; Atlanta, GA,
USA; +3 more; +2 moreMidExperience driving progress, solving
problems, and mentoring more junior team members; deeper expertise
and applied knowledge within relevant area.ApplyThis role may also
be located in our Playa Vista, CA campus. Note: By applying to this
position you will have an opportunity to share your preferred
working location from the following: Chicago, IL, USA; Atlanta, GA,
USA; Los Angeles, CA, USA; Seattle, WA, USA.Minimum
Qualifications:
- Master's degree in Statistics, Mathematics, Bioinformatics,
Economics, a quantitative field, or equivalent practical
experience.
- 2 years of experience in a data science field.
- Experience with statistical software (e.g., R, Python, MATLAB)
and database languages (e.g. SQL).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 delivering insights from ML to customers (problem
scoping/definition, modeling, interpretation).
- Experience using or deploying digital analytics and measurement
solutions.
- Proficiency with data extraction and modeling tools (SQL,
Python), and a good understanding of the statistical algorithms
typically used in Marketing Analytics.
- Proficiency in Computer Vision and NLP in the context of
marketing analytics, and the ability to bring cutting edge
generative AI technologies to customer problems in marketing.About
the JobThe gTech Ads Marketing Data Science team helps measure and
optimize marketing ROI for Google's largest clients. We build
bespoke models that address client's key business challenges. We
are multi-disciplined professionals, PhDs, statisticians,
economists, engineers, and former consultants with deep experience
in Data Science, Machine Learning, and Marketing Analytics. We
learn the innovative technologies that drive Google products and
bring those innovations to life in the context of specific client
needs.In this role, you will be responsible for applying best data
science practices to solve our ads customers' complex problems in
marketing. You will be passionate about bringing the best of
Google's ML capabilities to build innovative solutions that address
our customer's problem-space. You'll be responsible for executing
on gTech's strategy and vision to deliver applied data science to
Google's largest ads customers.Google creates products and services
that make the world a better place, and gTech's role is to help
bring them to life. Our teams of trusted advisors support customers
globally. Our solutions are rooted in our technical skill, product
expertise, and a thorough understanding of our customers' complex
needs. Whether the answer is a bespoke solution to solve a unique
problem, or a new tool that can scale across Google, everything we
do aims to ensure our customers benefit from the full potential of
Google products.The US base salary range for this full-time
position is $127,000-$187,000 + bonus + equity + benefits. Our
salary ranges are determined by role, level, and location. The
range displayed on each job posting reflects the minimum and
maximum target for new hire salaries for the position across all US
locations. Within the range, individual pay is determined by work
location and additional factors, including job-related skills,
experience, and relevant education or training. Your recruiter can
share more about the specific salary range for your preferred
location during the hiring process.Please note that the
compensation details listed in US role postings reflect the base
salary only, and do not include bonus, equity, or
benefits.Responsibilities
- Lead data science aspects of client engagements in the area of
marketing effectiveness and marketing portfolio management - with
deep knowledge of 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 an end-to-end 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 customer and internal teams to translate data and
model results into tactical and strategic 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 DS team, employing methods
which create opportunities for scale, proactively helping to drive
innovation.Google is proud to be an equal opportunity and
affirmative action employer. We are committed to building a
workforce that is representative of the users we serve, creating a
culture of belonging, and providing an equal employment opportunity
regardless of race, creed, color, religion, gender, sexual
orientation, gender identity/expression, national origin,
disability, age, genetic information, veteran status, marital
status, pregnancy or related condition (including breastfeeding),
expecting or parents-to-be, criminal histories consistent with
legal requirements, or any other basis protected by law.Google is a
global company and, in order to facilitate efficient collaboration
and communication globally, English proficiency is a requirement
for all roles unless stated otherwise in the job posting.To all
recruitment agencies: Google does not accept agency resumes. Please
do not forward resumes to our jobs alias, Google employees, or any
other organization location. Google is not responsible for any fees
related to unsolicited resumes.
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Keywords: Google Inc., Pico Rivera , Business Data Scientist, gTech Ads Professional Services, Other , Los Angeles, California
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