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VP, Data Science

New York City, NY, USA | 7Park Data

  • Industry:
    Information Technologies
  • Position Type:
  • Functions:
    General Management
    IT / Information Technology
  • Experience:
    7-10 years
Job Description:
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We are looking for a VP, Data Science to lead all of our Data science and R&D efforts to discover the information hidden in vast amounts of data, and help us build incredible data products.You will be joining other extremely passionate data science, product folks and engineers that share a common interest in distributed systems, performance, scale, and solving problems with software and data. Our technologies power the insights for financial service and corporate giants.

Compensation package includes highly competitive salary, bonus, equity interest and the valuable business experiences, challenges and excitement of a fast growing technology startup company.


 Lead, nurture and grow a very talented data science team

Lead discovery processes with stakeholders to identify the product requirements and the expected outcome

Manage multiple projects in parallel and oversee their completion from start to finish, setting goals and project milestones

Conceptualize and plan leading-edge analytic and quantitative tools and modeling techniques to help 7Park Data’ clients gain insights and improve decision-making

Review internal and external analytical techniques, identify what data is available and relevant and source the necessary data

Collaborate with the Engineering team to deploy solutions to production

Make strategic recommendationsto technology, product, and senior management

Be the voice of data science internally and represent 7Park externally


 Master’s Degree from top tier university in Computer Science, Statistics, Mathematics, Economics or similar quantitative discipline. PhD preferred

Minimum 8+ Years of relevant professional experience with a proven track record of leveraging analytics and large amounts of data to drive significant business impact

Extensive experience with data exploration, data cleaning, implementation of advanced statistical and machine learning algorithms (e.g., time-series analysis and forecasting, clustering, and advanced classification and regression techniques such as decision trees, neural networks, deep learning, and ensemble algorithms), as well as rigorous model validation and evaluation

Excellent interpersonal and leadership skills with the ability to develop and guide team members to deliver actionable results

Fluency in R or Python

Modeling/mining large data sets using Apache Spark, Databricks


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