Randstad Data Scientist in Boston, Massachusetts
Tuesday, October 4, 2016
Temp to Perm
Description of Business Area
Technology Solutions is a software development organization within the client responsible for delivering solutions focused on health information technology (HIT) integration, analytics and surveillance capabilities to help drive standardization and accountability enterprise-wide for hospitals and IDNs. Technology Solutions strives to build high quality software applications that delight our customers in a predictable and efficient manner. Capabilities like advanced analytics, product insights, data science, test automation, project/portfolio management, lean-agile software development practices, and automated software development metrics are critical to our success. Technology Solutions provides data products and solutions to our customers using in-depth detailed medical device and hospital data to improve the safety and experiences for all patients. We are seeking a seasoned data mining/predictive analytics expert to help drive innovation using HIT information and build new products using algorithmic techniques to support our company s mission.
General Position Descriptors
Demonstrates in-depth knowledge of respective scientific discipline
Demonstrates proficiency in the product development process
Understands intellectual property, competitive landscape and regulatory requirements for the related products
Typically PhD level or with equivalent experience
Leads product development projects
Independently applies scientific knowledge and skills within respective discipline to product development projects
Develops and implements detailed experimental plans to drive product development
Provides guidance to other Product Development Scientists and may supervise direct reports
Capturing, documenting, analyzing and balancing project related information from multiple sources
Facilitate resolution of project related issues
Build product development plans and ensure that contingency plans are in place
Has in-depth experience, knowledge and skills in own job family
Applies knowledge and skills to a wide range of standard and non-standard situations
Works independently with minimal guidance
Usually determines own work priorities
Acts as a resource for colleagues with less experience
Primary Job Responsibilities
Going beyond established analytical thinking and problem-solving by applying creativity to unconventional concepts and out-of-the-box solutions
Ability to quickly understand patterns within large quantity of data and to reference key characteristics using visualization techniques
Demonstrating strong programming skills in large-scale data analysis SQL and R (Required). Some Python and Hadoop languages preferred.
Leveraging strong math skills and statistical knowledge to advanced data mining and data analysis activities
Analysis, design, development, test, troubleshooting and documentation of complex data systems that may involve one or more of the following: predictive models, feature extraction, data-driven analysis, application of machine learning algorithms, text mining, decision support, variable selection and model fit.
Completing written documentation and reports of results in the form of business reports, internal technology white papers, and statistical system documentation.
Familiarity with the CRISP-DM data mining process.
Devise new algorithmic approaches to solving difficult quantitative problems using large scale enterprise data sources.
Adopt new tools and algorithms effectively to improve model performance.
Work independently on complex statistical score modeling and analysis problems with very large and complex data structures.
Design data experiments to verify assumptions and hypothesis.
Experiment with new algorithms and analytical approaches and report on the impact to model performance.
Create tools and processes to download data, parse it for relevant content, and store it in existing data management systems.
Analytical Thinking - Identifies data requirements, often beyond the standard, and collects all relevant data needed to analyze a complex problem, situation or issue
Applies hypotheses and an understanding of cause and effect when analyzing a complex process, situation or issue or discerning data patterns
Identifies advanced implications/conclusions from the logical analysis of a complex situation or issue
Breadth of Technical Knowledge - Demonstrates a strong understanding of the technical offerings within one s own function
Advises others on a variety of topics within own functional area; accesses appropriate resources/expertise to obtain technical information as needed
Leverages the appropriate resources to provide complex solutions for internal/external customers
Customer Expertise - Utilizes knowledge of customers offerings and collaborates with others as necessary to make recommendations that consider the impact of key business drivers
Advises customers on the potential impact of industry trends and external business pressures in light of their business strategy
Integrates knowledge of Client s organization structure into solutions development
Innovative Certainty - Tracks internal trends and suggests process improvements based on observations
Questions current methods while evaluating broad implications, to develop practical improvements; focuses on achieving goals rather than a fear of failure
Approaches issues from multiple perspectives and collaborates with internal/external customers in generating creative, effective and practical solutions
Leveraging Technical Expertise - Applies comprehensive understanding of concepts within own technical area to design relatively advanced solutions; demonstrates understanding of key business drivers
Serves as an expert within a technical area and educates others on technical issues
Collaborates with all relevant parties to deliver services
Collaborates with internal/external customers and all relevant parties to deliver services
Strategic Thinking - Uses best practices and knowledge of internal / external business issues / interdependencies (e.g., industry, market and customer) to improve work product in own work area
Identifies specific opportunities for short- and long-term change within own work area
Change Leadership - Consistently maintains a positive outlook to change and communicates the vision and business need for change
Adapts to fluid situations and demonstrates comfort in dealing with ambiguity
Acts as a champion of change by demonstrating knowledge of the change process, and by recognizing the change impact and lending personal support
Global Mindset - Demonstrates sensitivity to cultural and geographic differences when interacting with others
Actively seeks out different perspectives to gain a holistic picture
Select and Develop Talent - Proactively seeks out opportunities for self-development, balancing the need for personal growth and the critical capabilities required of the organization
Supports the identification of talent both internally and externally and provides feedback on candidates
Inspirational Leadership - Encourages others through own enthusiasm and an authentic communications style
Gains support and commitment from others within own group / department by communicating expertise and rationale
Results Orientation - Sets meaningful personal goals and assists others in work area; prioritizes short-term activities around department / functional goals
Delivers pragmatic solutions to meet commitments / goals, on time and on budget, despite obstacles or uncertainty
Monitors and controls costs within own work, assessing the financial implication of decisions
Personal Courage - Carefully weighs the pros and cons and makes tough decisions, even though they may be personally difficult and / or unpopular with others
Takes personal accountability for one s own decisions, despite potential for personal discomfort, and elevates risk as appropriate
Self-Awareness - Proactively works to address own development areas and builds awareness of how own words, actions and work style are perceived by others
Demonstrates awareness of others emotions and adjusts own approach accordingly to maintain composure and productivity
Graduate Degree in Engineering Mathematics, Statistics Theoretical/Computational, Computer Science, Data Mining or Predictive Analytics, or related field. PhD Preferred.
Proven knowledge of statistical techniques and data science is required
Minimum 5 years dedicated experiences with modeling and programming
5+ years experience manipulating large datasets and using databases (e.g. R, SQL, KNIME, Python, Hadoop, etc.)
Demonstrable ability to quickly understand new concepts---all the way down to the theorems-and to come out with original solutions to mathematical issues
Strong interpersonal and communication skills