Director, Data Science & Data Platforms

Position: Director, Data Science & Data Platforms
Location: New York, United States
Remuneration: $ 170000.00 - $ 210000.00 per annum
Who is hiring?
My client offers a proven, early-stage learning program that provides the best educational start possible for our youth. Their product offers personalized, fun, and proven to learn products for kids ages 2-8 to help build confidence, mastery, and a love of learning. They are deeply committed to their members and to their children and are building a creative and strategic team to develop a portfolio of early learning products that support learning everywhere.
As the Director of Data Science and Data Platform, you will be responsible for leading a world-class team of Data Scientists, Data Platform Designers, and Data Engineers that work with our partners in Product, Marketing, Strategy, and Operations to help with the mission of being a leading data-driven organization.

You will also lead and support the design and development of their advanced analytics solutions working closely with the VP of Data & Insights to help develop meaningful and impactful advanced analytics solutions for the organization. Finally, you will assist with mentoring and guiding cross-functional teams and helping to assist with their own career development. If you are passionate about leveraging data to support business decisions, we want to hear from you!
What will you be doing?
You will:
  • Lead the data science and data platform development of multiple engagements
  • Help to drive the analytical scope and method for projects, including formulating and shaping model development and model solution design
  • Lead the development of our Enterprise Data Lake and our BI Solutions
  • Work with business stakeholders and leaders across the organization to translate their needs/goals around advanced analytics into tangible use cases for Data Science Projects and to develop a Data Platform that meets their Business Intelligence needs
  • Collaborate and lead teams in a multi-disciplinary environment mixing highly skilled people in data science, data engineering, product, marketing, strategy and design
  • Help grow and shape an elite team of world-class data scientists
  • Assist with executing analytics projects, applying appropriate statistical and machine learning techniques to produce key insights and actionable takeaways, and presenting findings and recommendations to key stakeholders
  • You will also ensure that our applications and operational data remain in synch and all integrations are flowing with no data errors
  • Provide guidance and expertise on data validation at the point of entry to enhance data quality and drive adoption of best practices
  • Assist with and lead root cause analysis, prioritize and manage data quality and remediation, and ensure data integrity to all downstream data systems
  • You will be an expert on understanding how data is collected, maintained, and interpreted and be knowledgeable on the official sources of data in scope to address use case requirements and business needs
Must Haves:
  • 5-8 years of experience in managing and leading teams developing data platforms and machine learning solutions from POC to Operationalization of models
  • Bachelor’s degree in a quantitative field (mathematics, quantitative methods, computer science, engineering, economics, finance etc.); Advanced degree is a plus
  • Skilled in rapid prototyping and quick experimentation
  • Extensive familiarity with managing and guiding teams working on cloud platforms (AWS experience is preferred)
  • Team leadership, mentoring, and project managements skills
  • Practical experience with machine learning methods such as Linear Regression, Decision Tree, Random Forest, Deep Learning approaches etc. and strong familiarity with machine learning libraries such as pandas, scikit-learn, and matplotlib
  • Programming experience in at least two of the following languages: R, Python, Scala, SQL
  • Experience in applying data science methods to solving business problems
  • Experience in applying advanced analytical and statistical methods in the commercial world, under tight deadlines
  • Strong data management skills with a focus on database design, data quality management, and data analysis of large datasets, including hands-on-experience with SQL, no-SQL, and ETL software
  • Knowledge of technologies such as Hadoop/ MapReduce and working on cloud infrastructure such as AWS, Azure, GCP
  • Exceptional communication skills with the ability to communicate and simplify analytical and technical content to a range of technical and non-technical audiences
  • Strong interpersonal skills with the ability to work collaboratively and self-driven in a diverse team environment, under tight deadlines, and changing priorities
  • Team leadership, mentoring and project management skills
  • Experience working in a top tier management consulting firm, preferably as a data scientist
  • Experience or Education in Human Centered Design or Design Thinking
  • Familiarity with NoSQL databases such as MangoDB or Graph Databases such as Neo4j
  • Experience in creating dashboards and charts using visualization libraries such as Bokeh or Dash in Python or for the web with React, Angular, or Bootstrap
  • Practical experience in Deep Learning Approaches and Algorithms
We like people who:
  • Are passionate about data, love getting their hands dirty with data and shaping it into information
  • Are meticulous, thorough, and display excellent attention to detail
  • Are intellectually curious and comfortable working with new or unconventional technologies
  • Have an entrepreneurial mindset and can proactively think about potential improvements on how things are done
  • Are self-starters with superior independent project management skills with the ability to prioritize and manage multiple projects simultaneously
  • Are passionate about our industry (education) and our consumers (children, parents and educators)
Why you shouldn’t miss this opportunity?
Data Science(Data Scientist), Amazon Web Services (AWS)

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