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Data Scientist
Ref No.: 18-00033
Location: New York, New York
Position Type:Direct Placement
Start Date: 01/31/2018
Client is looking for an experienced Data Scientist that will hold a crucial leadership position in the company's Advanced Analytics Program. The Data Scientist will have advanced capabilities in data mining techniques, statistical analysis, algorithm design, and building high quality predictive systems. In addition to advanced analytical skills, the Data Scientist is expected to be proficient at integrating and
preparing large data sets, architecting specialized data bases and computing environments, and communicating results. The Data Scientist will work closely with marketing, finance, other analytics/BI teams, and other IT teams to turn big data into critical information, insights, and models that can be used to further our subscription business.

Note: This job specification should not be construed to imply that these requirements are the exclusive standards of the position.
Incumbents will follow any other instructions, and perform any related tasks, as may be required by their supervisor.

Duties and Responsibilities:
• Collaborate with the Marketing, Finance, analytic teams, and IT Departments to understand Company requirements, initiate new advanced analytics projects, and devise analytical solutions that lead to the delivery of actionable insights necessary to impact the Business' objectives.
• Research, design, develop and test hypotheses and models. Conduct advanced data analyses that inform highly complex algorithms.
• Identify what data is available and relevant, including internal and external data sources. Leverage new data collection processes, like vehicle backchannel, Call Miner, Lifecycle Events, and social media. Collaborate with subject matter experts on the selection of relevant data sources.
• Develop innovative and effective approaches to solve analytics problems and communicate results and methodologies. Work in an iterative process with counterparts and validate findings.
• Develop experimental design approaches to validate findings or test hypotheses.
• Identify and create appropriate algorithms to Client patterns and insights.
• Work with data stewards to ensure that the information used is in compliance with
regulatory, security, and OEM/Partner agreements.
• Communicate results and ideas to key decision makers through advanced visualization and data
story telling techniques in easy to understand terms for stakeholders.
• Keep up-to-date with latest technology trends, big data computing methodologies, and best practices for Advanced Analytics as a Service.
• Educate the community on new approaches, research initiatives, and the respective ROIs to each business partner.
• Actively participate in the Advanced Analytics Center of Excellence to share best practices and promote knowledge transfer among other Data Scientists, Data Analysts, Data Engineers and Architects across the Company.

Minimum Qualifications:
• Minimum of a Master's Degree in Computer Science, Statistics, Applied Math or computational field and/or equivalent combination of education and experience. PHD degree preferred.
• 8+ years' practical experience with relevant quantitative research. Solid knowledge of statistical techniques as well as algorithm design and implementation.
• The ability to come up with solutions to loosely defined business problems through advanced analytics performed on large un-unified datasets.
• 5 + years experience with:
  • Strong programming skills in the big-data space (Hadoop, MapReduce, Java, Python, or other big data frameworks)
  • Machine learning, algorithms, and statistical modeling (k-NN, Nai ¨ve Bayes, SVM, Decision Forests, NLP, etc.)
• 8+ years' experience with common data science toolkits (R, MatLab, SymPy, SciPy, SAS, etc.)

Incumbents will follow any other instructions, and perform any related tasks, as may be required by their supervisor.
• Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms (such as linear/logistic regression, clustering, text analytics, Bayesian models, supervised/unsupervised learning).
• 4 years with data visualization tools (D3, Tableau, Qlik, DataMiner, Adobe Analytics, etc.)
• Able to understand various data structures and common methods in data transformation and synthesis.

Requirements and General Skills:
• Good public speaking and presentation skills.
• Interpersonal skills and ability to interact and work with staff at all levels.
• Excellent written and verbal communication skills.
• Ability to work independently and in a team environment.
• Ability to project a professional image over the phone and in person.
• Commitment to "internal client " and customer service principles.
• Willingness to take initiative and to follow through on projects.
• Spelling, grammar, proofreading and editing skills.
• Strong organizational skills and attention to details.
• Excellent time management skills, with the ability to prioritize and multi-task, and work under shifting deadlines in a fast-paced environment.
• Must have legal right to work in the U.S.

Technical Skills:
• Experience with data in a variety of formats (parquet, json, .wav files, relational, non-structured, etc.) and types (web and application traffic data, domain-specific metadata, customer data, transactional data, product data, etc.).
• R, MatLab, C, Python, Perl, Scala or similar object-oriented programming languages.
• SQL, SSIS, Drill, SAS or other querying and ETL tools.
• Experience with big-data storage and processing tools like AWS, Hadoop, Drill, Spark, etc.
• Visualization tools such as Tableau, Qlik, Adobe Analytics.
• Thorough knowledge of MS-Office Suite (Word, Excel, PowerPoint, Access).