Data Scientist - Full Time at Newark

Job Description : Data Scientist

Experience, qualification, and soft skills, have you got everything required to succeed in this opportunity Find out below.

Location : Newark

The Data Scientist will harness vast amounts of data to optimize business results. He / she will exercise their knowledge of descriptive and multivariate statistical techniques and applications, and database analysis tools and techniques to develop strategic insights to drive business goals.

Works hard at advancing the state-of-the-art in how data is applied to solve problems in the Public Transportation industry.

Will also be responsible for teaching data analysts and software engineers how to work effectively with vast quantities of data.

Responsibilities :

• Work with cross departmental teams to define metrics, guidelines, and strategies for effective use of algorithms and data.
• Identify, design, and build appropriate datasets for identification of complex data patterns and analytics.
• Create data mining and analytics architectures, coding standards, statistical reporting, and data analysis methodologies.
• Establish links across existing data sources and find new, interesting mash-ups.
• Coordinate data resource requirements between analytics, application teams, and business stakeholders.
• Work with product managers, engineers, and analytics team members to translate prototypes into production.
• Assist in the development of data management policies and procedures.
• Develop best practices for analytics instrumentation and experimentation.
• Conduct research and make recommendations on big data infrastructure, database technologies, analytics tools, services, protocols, and standards in support of procurement and development efforts.
• Drive the collection of new data and the refinement of existing data sources.
• Develop algorithms and predictive models to solve critical business problems.
• Analyze historical data, identify patterns, and come up with predictive, prescriptive, descriptive, and cognitive analytics.
• Develop tools and libraries that will help analytics team members more efficiently interface with huge amounts of data.
• Analyze large, noisy datasets and identify meaningful patterns that provide actionable results.
• Create informative visualizations that intuitively display large amounts of data and / or complex relationships.
• Provide and apply quality assurance best practices for data science services across the organization.
• Collaborate with database and disaster recovery administrators to ensure effective protection and integrity of data assets.
• Manage and / or provide guidance to junior members of the analytics team.
• Develop scalable, efficient, and automated processes for large scale data analyses and model development, validation, and implementation.
• Collaborate with internal and external business and data teams, data engineers, and analysts.

Qualifications :

• Minimum 5 years' experience in modeling and analysis with a graduate or post-graduate university degree in computer science, mathematics, statistics, Data Science, or equivalent work experience.
• Well versed with CRISP-DM methodology and reference model.
• Proven track record of successful Data Science implementations, preferably in the Public Transportation and Travel industry.
• Advanced knowledge in one or more of the following : Linear and Non-Linear Models, Time Series Analysis, Random Forest, SVM, Neural Networks, Unsupervised Methods (Dimensionality Reduction, Clustering, etc.).
• Machine Learning, including Deep Learning.
• Advanced knowledge in R, Python, and SQL.
• Ability to perform impact data analysis and data profiling on source data systems.
• Experience with data visualization tools (ggplot, Tableau, ThinkCell, etc.).
• Good written and oral communication skills.
• Strong technical documentation skills and interpersonal skills.
• Highly self-motivated and directed with keen attention to detail.
• Ability to effectively prioritize and execute tasks in a high-pressure environment.
• Experience working in a team-oriented, collaborative environment.

Salary : This is a fairly senior and specialized position, so we could go as high as $120,000 - $140,000 for this role (Salary + Benefits).

Please send your most updated resume in Word format with your details.

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