Data Scientist-Director Level Resource-Philadelphia PA OR New York, NY

Job Title : Data Scientist-Director Level Resource
Location : Philadelphia PA OR New York, NY
Position Type : Full Time
Salary : DOE $80K/Year - $140K/Year
Interview Process : Phone followed by Face to Face

Green Card, U.S Citizens

• Diving into huge, noisy, and complex real-world behavioral data to produce innovative analysis and new types of predictive models of customer behaviors and TV product performance
• Unleashing your creativity to find hidden gems that improve our understanding of TV and internet that will drive actionable business decisions
• Collaborating with executive leaders and business owners, leading teammates to solve business problems using broad spectrum of data science tools, packages and visualization techniques
• Using you deep knowledge of the big data ecosystem to build efficient and scalable analytical solutions
• Discovering and implementing new tools and technologies to keep current with the trends and advances in the data science community
• Serving as a subject matter expert in the capabilities of Data Science.
• Working closely with data and software architects to operationalize obtained analytical solutions and create analytical/business intelligence products.

Requirements:

• Expert knowledge of machine learning, data mining and natural language processing algorithms with special emphasis on advanced algorithms like neural networks, SVM, random forests, bagging, gradient boosting machines, k-means++, etc.
• Solid experience in practical predictive modeling. Forecasting is a plus.
• Good understanding of the experimental design, simulation, optimization, mixed methods and market research.
• Exposure to representation learning including deep learning.
• Advanced knowledge of two or more of the analytics languages/toolkits such as R, SAS, SPSS, Matlab or Python with analytical extensions.
• SQL and advanced data processing.
• Proficient in at least one programming/scripting language like Python, Scala, Julia, Ruby, or Java, C#, etc.
• Strong understanding of big data concepts and knowledge of big data languages/tools such as Hive, Pig, Mahout or Spark.

Educational Level and Experience

• PhD (preferred) or Master degree in Computer Science, Applied Mathematics, Statistics, Econometrics, Quantitative Social Sciences or related field.
• Principal Data Scientist- At least 8-12 years of experience depending on educational level and relevance
• Lead Data Scientist-6-10 years
• Senior Data Scientist- 4-8 years
• Data Scientist-2-5 years

Core responsibilities:

• Leads development of analytical models using statistical, machine learning and data mining models. Defines model development tactics.
• Defines requirements for exploratory and ad hoc data analysis. Generalizes ad hoc analysis to develop new solutions and products.
• Introduces new classes of business metrics.
• Defines feature engineering and extraction tactics.
• Collaborates with the data architects of various data platforms (big data, relational and non-relational) to define requirements for data architecture enhancements and new data ingestion.
• Utilizes Hadoop, SQL and NoSQL languages, tools and technologies to extract and process data for analytical needs. Designs and architects data processing pipelines.
• Utilizes Big Data Analytical tools and packages to build highly scalable analytical models
• Leads the analysis and formalization of the business problems. Collaborated with business owners.
• Leading the team in adoption of new analytical algorithms, tools and technologies.
• Designs and implements new methodologies and algorithms.
• Stays up to date in understanding and contributes to the company and organization strategy.
• Consistent exercise of independent judgment and discretion in matters of significance.
• Regular, consistent and punctual attendance. Must be able to work variable schedule if necessary.