Job ID:
J36993
Specialized Area:
Data Science
Job Title:
Data Scientist
Location:
Palo Alto,CA
Duration:
6 Months
Domain Exposure:
IT/Software
Work Authorization:
US Citizen, Green Card, OPT-EAD, CPT, H-1B,
H4-EAD, L2-EAD, GC-EAD
Client:
To Be Discussed Later
Employment Type:
W-2 (Consultant must be on our company payroll. C2C is not allowed)
Role: Digital Marketing - Data Scientist
Job Role and Responsibility
You will support Digital Marketing and work independently in building models across a multitude of projects, such as B2B funnel analysis, forecasting, lead scoring and campaign sequencing and attribution modeling, using R, Python or other language/machine learning libraries. Develop and maintain reports on the effectiveness of models.
You will be a strategic partner and work with business stakeholders on identifying analytic needs, and develop analytic solutions that are actionable (from a business perspective) & deployable (from a systems perspective).
You will develop deep knowledge of VMware s data assets, extract and prepare data for modeling from Hadoop and Enterprise Databases, using SQL and other tools, deriving and sharing insights from visualizations, correlations and other statistics with the greater analytics team. The insights would be used to shape the decision-making in Digital Marketing.
You will improve code portfolios across SQL, R or Python for increased process efficiency, drive innovation by developing new experimentation methodologies, statistical techniques, and causal-inference approaches that could sharpen our marketing decision-making process.
Required Skills
Total Indicative Experience: 4-7 Years (or equivalent education) with experience in Digital Marketing specifically.
Hands-on experience with one or more of the primary data science tool-sets: R, SAS, SPSS, Python, and models such as ARIMA.
Hands-on experience with Adobe Analytics, Tableau and/or Power BI.
Experience using advanced analytics techniques to tackle digital marketing business
problems, such as, pre-funnel behavior analysis to predict insights in the digital journey
prior to web form conversions, insights across tactics, multi-touch attribution, campaign
sequencing, ROI analysis for paid campaign efficacy, and forecasting for pipeline metrics.
Working knowledge of methods such as regression, cohort analysis, hypothesis testing,
cluster analysis with hands-on experience translating raw data from relational databases and Hadoop into modeling data sets (using Excel, SQL, SAS or other coding tools) is desired.
Good business & technical communication skills, both verbal and written. Ability to explain and present analytics concepts to non-technical audiences. Ability to establish & cultivate relationships with all stakeholders.
Proven project management and organizational skills. Ability to effectively prioritize time, manage expectations and deliverables. A self-starter, who proactively looks for new and better ways of doing things. Shows drive, passion and a sense of ownership.
Graduate degree in data sciences, advanced analytics, statistics or related fields is preferred, or equivalent on-the-job experience (experience in high-tech enterprise business-to-business industry is ideal, as is prior experience from a reputed analytics firm doing similar work).
DIGITAL TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. DIGITAL TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will DIGITAL TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract