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Data Scientist - 1

Company:
Absolute Opportunities
Location:
New York, New York, 10004, United States
Posted:
November 14, 2018

Description:

Data Scientist - 1

New York, NY 10004

Who We're Looking For

We are seeking an innovative and passionate Data Scientist to join our growing team to help promote our analytical culture, while leveraging data to maximize marketing performance and deliver a best-in-class experience for the clients we serve.

The ideal candidate will apply analytical rigor and data driven reasoning to guide the development and execution of marketing strategies and experiential initiatives across the organization. This individual will bring a sense of curiosity to seek out opportunities for improvement through internally and externally sourced data. This person will play a critical role in providing thought leadership, building statistical models to understand consumer behavior and intent, and identifying optimization opportunities across programs.

This is an opportunity to grow with a diverse team and have a measurable impact on a rapidly growing organization. It is a great fit for an entrepreneurial professional with a strong background in statistical modeling and a passion for translating data into actionable insight.

Key Responsibilities

Develop and implement advanced statistical models to guide business strategy and deliver incremental growth and value throughout the company.

Perform analysis of structured and unstructured data to solve complex business problems.

Use statistical techniques to build marketing segments, evaluate scenarios, predict future outcomes, and optimize performance.

Lead complex research and analytics projects across teams.

Research, test, and validate new modeling techniques as appropriate for specific solutions.

Present and depict recommendations so that stakeholders can make data-informed decisions.

What We Offer

We believe in a team-first culture, full of rewards and recognition for our employees. We are dedicated to our employees’ success and growth within the company, through our employee mentorship and leadership programs.

Our extensive benefits package includes:

Medical, Dental, and Vision Benefits

401(k) Match

Paid Holidays, Sick Days, and Vacation

6 Weeks Paid Parental Leave

Pre-tax Transit Benefits

Discounted Gym Membership

No-cost Life Insurance Benefits

Required Knowledge, Skills, and Abilities:

1. 3+ years of experience as a data scientist conducting data mining and building and implementing complex models in a fast-paced, marketing-driven environment.

2. Experience working with large internal and external data sets covering new and existing client programs to include direct mail, TV, radio, search engine marketing and email preferred.

3. Undergraduate degree in a quantitative discipline (i.e. Statistics, Mathematics, Computer Science or equivalent quantitative discipline), advanced degree is preferred.

4. Expert knowledge of R/Python and SQL or similar industry standard tools use for large-scale data analysis and modeling.

5. Experience linking multiple data platforms with data visualization tools is a plus.

6. In-depth knowledge and experience in data mining ans statistical modeling techniques (regression, decision tree, time series, etc.)

7. Knowledge of optimization theory and statistical model application are also preferred.

8. Strong analytical and problem-solving skills with the ability to interpret large amounts of data with business insight to support growth.

9. Strong consultative acumen with responsibility for analytical project design, management, and presentation of results to internal and external stakeholders.

10. Ability to clearly present statistical solutions to non-statistical people, articulating value and insights to the business.

11. Strong project management skills with a proven ability to set clear goals and design detailed plan against tight timelines. Evidence of self-motivated initiatives, high productivity, and good team work is desired.

13. Salary Expectation?

14. Must be a US Citizen or Green Card holder?

15. Current complete address: