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Data Scientist

Smith Hanley Associates

Job description
Title: Data Scientist

Location: Boston, MA

Salary: $100,000 – 140,000

Contact: Paul Chatlos,

Top-tier management consulting firms seeks a Data Scientist for rapidly growing Data Science team

Job Responsibilities:

We are seeking a strong candidate with advanced analytics experience to fill an exciting Data Scientist (DS) position within the group. The DS is a valuable expert in Data Science and Analytics and will design and build analytics methodologies, solutions, and products to deliver value to company’s clients in collaboration with case teams. Exceptional candidates will also show an analytical curiosity, going beyond the immediate requirements of the project to find deep insights that others have missed. They will ask questions about outliers, seek to understand the fundamental drivers of advantage and look for clues that may change the basis of competition.

As a Data Scientist you design and build analytics solutions for our clients where data and analytics are at the heart of the question. The team interaction centers on use of statistical programs and others tools to conduct intensive analysis of objective data and open discussion, complemented by objective research into the competitive environment. Responsibilities / duties to include: understand problems from the client’s point of view, build and execute solid analytics work plans, gather and organize large and complex data assets, perform relevant analyses (data exploration and statistical modeling), manage priorities and deadlines, foster teamwork in interactions, develop client relationships with client counterparts, and communicate hypotheses and findings in a structured way.

As the field of advanced analytics is rapidly evolving, the DS is responsible for staying current on leading-edge business applications, tools and approaches, proactively working with the Analytics Leadership to enhance offerings that deliver competitive advantage to the organization.

Basic Job Requirements:

-Strong primary expertise as data engineer or data scientist, with the ability to stretch beyond one’s core field of expertise. Successful candidates share the following requirements:

-PhD or MA/MS + 2-5 years relevant experience as a strong contributor on a data science team

-Relevant degree in Statistics, Math / Applied Math, Geo and special analysis, Operations Research, Computer Science, Economics or Quantitative Finance

-Domain expertise in at least one analytics function: attribution, segmentation, response modeling, churn, propensity, customer LTV, supply chain / logistics, geospatial inference, recommender systems, causal inference, forecasting, pricing, NLP or image processing

-Proficiency in a core programming language, such as: Python, C/C++, Scala, Java, Ruby

-Proficiency in R, particularly to prototype mathematical models

-Proficiency with SQL and/or NoSQL

-Proficiency with Tableau, R-Shiny /or other data visualization tools

-Ability to scope and define data sets needed for specific use cases and identifying data gaps

-Ability to translate scientific insights into product decisions and work streams

-Flexibility to handle directional changes and moving priorities to ensure project success

-Strong oral and written communication skills

-Strong client management skills – ability to lead and persuade, positive energy, relentless focus on business impact

-Travel expected 40-70% of time

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