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Executive Director - Data Science

Executive Director - Data Science

Job Title: Executive Director - Data Science
Contract Type: Permanent
Location: Manhattan, New York
Industry:
Salary: £400000.00 - £500000.00 per annum + Bonus + Benefits
Reference: HQ00067475_1518621728
Contact Name: Michael Georgiou
Contact Email: m.georgiou@lawrenceharvey.com
Job Published: February 14, 2018 15:22

Job Description

Position Title:Artificial Intelligence/Data Science Operating Executive
Functional / Industry Experience:Advanced Analytics Artificial Intelligence Function
Position Overview:
Seeking highly qualified Advanced Analytics Leader with a track record of leading data analytics, machine learning and data architecture initiatives. As a member of the AI Practice, the Advanced Analytics Leader will work with my portfolio of 30+ companies across multiple functions and be the primary source of leading analytics innovation efforts in conjunction with businesses. This person will be responsible for developing analytics strategies and solutions that differentiate the organisation and portfolio companies from their competition and create top line growth while maintaining cost effectiveness through multiple business cycles. My client are seeking a "player/coach" with the adaptability and flexibility to develop strategies but also get into the weeds and write code.
Responsibilities:
Design and build scalable machine learning models; build and deploy predictive models
Interact with CxOs at portfolio companies organization to articulate the value of data science approaches, different service offerings and implementation approach
Collaborate with internal and portfolio company stakeholders in a broad range of sectors to identify business use cases and develop solutions in driving impact through data science and analytics
Manage and execute the successful delivery of the algorithms, statistical models and reporting tools to meet business needs
Develop complex algorithms and statistical predictive models and determine analytical approaches/modeling techniques to evaluate scenarios and potential future outcomes
Perform analyses of structured and unstructured data to solve multiple and complex business problems utilizing advanced statistical techniques, mathematical analyses and specialized expertise in the organization and/or industry
Apply analytical rigor & statistical methods to analyze large amounts of data using advanced statistical techniques. ? Manage large & complex analytical projects: data exploration, model building, performance evaluation & testing
Business Knowledge / Technical Skills:
Knowledge & Experience
10+ years professional work experience as a data scientist or on advanced analytics / statistics projects
Extensive experience analyzing and modeling structured data using machine learning / predictive modeling (Regression, Clustering, Time Series, Survival Analysis etc.)
Deep experience in data warehousing, data architecture, data quality processes, data warehousing design and implementation, table structure, fact and dimension tables, logical and physical database design, data modeling, reporting process metadata, and ETL processes
Proven experience in developing analytics strategy, roadmap and delivering major change initiatives ? Proven experience in negotiating contracts, license optimization, service levels & managing vendors
Ability to set and manage priorities judiciously
Expert knowledge of: Python data science ecosystem: Pandas, Numpy/Scipy; coding best practices (git/stash usage); R; Java; writing production and modular code
Personal Attributes
Excellent written & oral communication skills
Strong English language communication skills; able to distill complex technical concepts/issues into simple frameworks ? Excellent interpersonal skills and keen attention to detail
Strong negotiating skills and drives issues to closure
UPDATED: DECEMBER 15, 2017875 THIRD AVENUE NEW YORK, NY 10022
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Ability to present ideas in business-friendly and user-friendly language
Exceptionally self-motivated and ability to motivate in a team-oriented, collaborative environment.
Can change tactics quickly to maximize return and ensure value
Superior analytical, evaluative, and problem-solving abilities ? Exceptional service orientationp
Other Qualifications:
Demonstrated Expertise
Relevant and substantive operating or functional experience
Demonstrate a flexible, creative approach; understand risk and can quickly assess, propose, and adapt solutions unique to each situation
"Doer"
Demonstrate high energy coupled with a positive, decisive "get the job done" attitude
Working positions i.e., not consulting or commentary roles
Accountable to management and owners
Entrepreneurial, flexible, nimble, "hands on", with a very strong grasp of the details and a sense of urgency; take a proactive approach and able to lead resolution to very complex high risk situations
Demeanor
'Work with,' not 'talk at' colleagues
Sit on the same side of the table as management
Confident in her/ his own abilities and talent but without arrogance or pretense; demonstrate a team orientation and a collegial / collaborative mindset
Appreciate that the success of others ultimately translates to the individual's success
Education:
Bachelor's degree.
Master's degree in in Computer Science, Statistics, Economics, Physics, Engineering, Mathematics, or other closely related field
PhD preferred
Other Requirements:
This position will be based out of New York City. The role will require significant travel and presence at a portfolio company's site for the duration of each assignment § US work authorization
About Organisation
My client is one of the world's leading private investment firms. They have more than US $30 billion under management invested in three complementary strategies: private equity; global credit opportunities (which includes non-performing loans, corporate credit and distressed debt, mortgage securities and assets, and direct lending); and real estate. From its headquarters in New York City and network of affiliate and advisory offices in the U.S., Europe and Asia, they have the on-the-ground presence to invest in multiple asset classes globally.

They are one of the largest and most experienced teams of operating executives and functional experts in alternative investing.
Consists of approximately 110 professionals from a wide spectrum of industries and business disciplines that assist by sourcing opportunities, conducting highly informed due diligences, executing acquisitions, and improving the performance of portfolio investments. Executives often hold senior leadership and director positions at the portfolio companies, and teams are regularly deployed to provide practical assistance to help drive operational and strategic transformations.

Lawrence Harvey is acting as an employment agency in regards to this position.
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