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Job title: Principal Analyst, Applied Data Science
Company: Oracle
Job description: Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.
Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
Leading contributor individually and as a team member, providing direction and mentoring to others. Work is non-routine and very complex, involving the application of advanced technical/business skills in area of specialization. 8 years relevant work experience. BS/BA preferred.
Colorado Pay Range: From $105,217 to $200,534 per annum
Eligible for bonus and equity
Oracle offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Flexible paid time off (unlimited or accrued vacation and sick leave)
9. Paid parental leave
10. Employee Stock Purchase Plan
11. Adoption assistance
12. Financial planning and group legal
13. Voluntary benefits including auto, homeowner and pet insurance
Oracle is an Affirmative Action-Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veterans status, age, or any other characteristic protected by law.
Qualifications
Moat by Oracle is a measurement and marketing analytics suite designed to help advertisers, publishers, and platforms measure media performance across the breadth of their digital and TV advertising campaigns. It operates as part of Oracle Advertising, a division of Oracle chartered to empower advertisers to maximize performance and drive better outcomes through high-quality targeting data, innovative contextual technology, and powerful measurement solutions.
In support of achieving MOAT measurement business objectives, the Applied Data Science Team conducts product and client research and provides direct client support to drive product adoption. By developing best practices for campaign execution we provide the guidance that helps digital advertisers grow their business.
We are seeking an experienced data science professional who has delivered successful research programs that drive the product insights and industry knowledge to drive client satisfaction and product growth. This person will be a primary architect of the applied research agenda for the and will also build the internal tools needed to scale their distribution and application across our organization. They will also play an important project management role that includes internal stakeholder management and coordination of project work across a team of 2-3 data scientists.
Logistics:
- Title: Principal Analyst, Applied Data Science
- Location: Remote, with local office options of Broomfield, CO or New York City, NY (both are currently closed due to COVID-19)
- Hours: full time, 40 hours per week, generally 8 am – 5 pm, Monday – Friday
Responsibilities:
- Manage the prioritization and execution of research initiatives in partnership with our Product Development and Go-to-Market organizations.
- Craft insight-led narratives and develop advertiser best practices for the execution and optimization of digital/TV advertising campaigns through the use of
. * Lead the development of internal data pipelines and tools designed to aid in the scaling of all research efforts, including the efficient collection, manipulation, synthesis and distribution of data and insights to Oracle Sales and Account Management teams. Internal tools should save countless hours of time normally spent on data collection and manipulation.
- Provide recommendations to Product Development teams on how to translate relevant research learning directly into new product features for MOAT measurement products.
- Empower Oracle Go-to-market teams to effectively and persuasively communicate the value proposition of our research learning and their application via MOAT Measurement product usage.
- Provide strong project management oversight to ensure multiple projects can progress, including the coordination of work tasks among other Applied Data Science team members.
If you do these things well, you will play an instrumental role in positioning Oracle Advertising as a thought leader in the AdTech industry and will drive MOAT Measurement product adoption!
Desired Qualifications:
- 10+ years of demonstrated experience and achievement in one or more of the following quantitative disciplines — data science, statistics, applied mathematics, computer science, economics, operations research, marketing analytics
- Technical, hands-on experience executing ‘big data’ research programs using mainstream data-science tools such as Python, SQL, R, Hive, Spark, Hadoop and Scala.
- Relevant knowledge of applied statistics (i.e. the profession of analyzing data, not limited to specific tools or applications) and experience using machine learning techniques such as logistic regression, random forest regression/classification modeling, clustering/segmentation techniques and statistical inference/analysis to complete research are critical needs.
- Excellent verbal and written communication skills, with an ability to bridge the gap between data science and business management.
- Strong project management skills and attention to detail, complimented by an ability to understand and articulate the ‘big picture’ to internal and external stakeholders.
- Ability to diagnose and troubleshoot underperforming data workflows – we need you to identify opportunities to streamline and automate the work we do.
- Someone who demonstrates boundless intellectual curiosity will thrive in this role.
- Collaborative approach to working with others and extending your influence into areas where you lack prescribed authority.
- Industry experience working in the media analytics and advertising and marketing technology (AdTech, MarTech) sector preferred but not required.
Oracle offers a comprehensive benefits package which includes the following:
- Medical, dental, and vision insurance, including expert medical opinion
- Short term disability and long-term disability
- Life insurance and AD&D
- Supplemental life insurance (Employee/Spouse/Child)
- Health care and dependent care Flexible Spending Accounts
- Pre-tax commuter and parking benefits
- 401(k) Savings and Investment Plan with company match
- Flexible paid time off (unlimited or accrued vacation and sick leave)
- Paid parental leave
- Employee Stock Purchase Plan
- Adoption assistance
- Financial planning and group legal
- Voluntary benefits including auto, homeowner and pet insurance.
Oracle is an Affirmative Action-Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status, age, or any other characteristic protected by law.
Expected salary: $105217 – 200534 per year
Location: New York City, NY – Colorado
Job date: Sun, 28 Feb 2021 03:31:03 GMT
APPLY NOW!
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