Data ScientistJob Type:Right To HireJob Location:Newark NJJob Description:Job Summary The selected candidate will combine insightful data analysis and algorithm development with exceptional communication skills in order to drive business value from structured and unstructured data.
This position will be responsible for shaping and executing analyses, and preparing clear and concise presentations.
Outstanding knowledge of statistics, curiosity, and creativity required.Responsibilities Understanding business objectives, defining modeling goals, evaluating analytical approaches, and creating predictive models from structured and unstructured data.
Contributing to the development of data models for mining production databases.
Gathering and transforming raw data to meet modeling requirements.
Ensuring accuracy of results and validating models.
Identifying emerging trends, providing insights through compelling stories, and recommending analytic projects to leaders in order to drive business opportunities.
Using artificial intelligence and machine learning to develop processes automation.
Communicating and documenting complex statistical analyses and methods in a logical and understandable manner for non-technical stakeholders.
Participating in development of the analytics roadmap by evaluating and incorporating emerging standards, best practices, and new technologies.
Making recommendations on products and services to support structured and unstructured data mining.
Demonstrating strong business acumen and understanding of insurance concepts.Providing technical leadership, mentoring, and training to staff in statistical modeling and data analyses.
Assisting with supervision of all processes involved with the development of multivariate models.Qualifications Python.
Technical Data Scientist.
Degree in data science, statistics, applied mathematics or similar discipline.
(PhD degree or Master’s degree with equivalent experience required).
3 years of recent, hands-on experience in machine learning and using analytical programming languages like SAS, R, and Python.
Excellent understanding of statistics, multi-variable calculus, and linear algebra.
Demonstrated knowledge when to apply predictive modeling techniques such as logistic regression, time series, neural networks, forecasting, optimization, etc.
Experience in text and sentiment analysis.
Experience manipulating large amounts of data using structured query language (SQL).
Superior analytical, mathematical, and problem solving abilities.
Excellent communication and presentation skills.
Ability to be productive when working independently or collaboratively.
Ability to effectively manage time to handle competing high priority projects.
Knowledge of insurance or related field is a plus, but not required.Please submit your resume for consideration.
Once submitted, feel free to contact Caitie at cwintershiredbymatrix.com for additional information.Approx.
Duration: 8 months/RTHAbout Hired By MatrixHired by Matrix, Inc.
founded in 1986, is a certified Woman-Owned Business Enterprise (WBE) dedicated to providing the highest quality of job opportunities to our candidates and staffing services to our clients.
We are a full service staffing firm with experience recruiting and delivering for IT, Accounting & Finance, Administrative & Clerical, Clinical & Scientific, and Marketing disciplines.
Our long history in the staffing industry and dedication to excellence are the key differentiators that have fueled our success for over 30 years.Hired by Matrix offers our contract professionals competitive salaries, benefits after 60 days and a 401k option after one year.Equal Opportunity EmployerWBENC CertifiedWOSB CertifiedCEO Sharon Olzerowicz serves on the WBENC Board and is a long-standing member of the Forum Governing Group.We work hard to match our candidates with the right career opportunities.
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