Data Scientist

Baltimore, MD, United States

Data Scientist

Precise Resource, Inc. is a leading privately held Woman Business Enterprise specializing in Executive Search, Recruiting, and staff augmentation services for Fortune 1000 clients across the United States. One of our more prestigious clients has asked for our assistance in seeking a Data Scientist, where having you feel like joining our client's team is about being part of something bigger.

Our client is exploding in growth as they embark on a revolution to revolutionize safety surveillance in the healthcare industry! They are a company dedicated to transforming the landscape of healthcare organizations by redefining how to manage patient safety. The mission of this innovative company is to empower healthcare providers to record, analyze, and enhance patient safety workflows like never before.

They aren’t just building software; they are creating a culture of safety that sets the standard for excellence in patient care. Our client is committed to scaling our portfolio of innovative safety surveillance products and services, including cutting-edge patient safety event reporting software applications and top-tier safety analytics consulting. If you're passionate about making a real difference in healthcare you will want to be part of this dynamic team driving meaningful change.

What you will be doing:

You will support developing, discovering, and implementing innovative methods to more intelligently use information to identify system defects and mine risks and inform decision-making necessary to mitigate preventable harm. This role will report to the VP of Patient Safety and Consulting and will collaborate with a team of developers, analysts, technical leads, subject matter experts, and vendor partners. The ideal candidate will be a creative thinker open to proposing new and innovative ways to solve problems while demonstrating an attention to detail that leads to a high degree of reliability, accuracy, and precision necessary to develop advanced analytics.

Identifying relevant data sources for business and product needs

Collecting or overseeing the collection, processing, and verification of structured and unstructured data and sourcing data where needed

Collating and organizing data to meet product and business needs, iIntegrates data from multiple sources as needed.

Developing and building predictive models based on defined product and business objectives

Developing new machine learning algorithms and enhancing existing models

Performing experimental design

Collaborating with team members on setting up required data infrastructure, generating information and insights from data sets and identifying trends and patterns

helping shape the visualizations of data ideal needed to further product and business needs and solving customers’ analytic challenges.

Other general responsibilities as directed, from time to time, to support growth and expansion objectives of the organization.

Qualifications:

5+ years of experience with patient safety or healthcare-related data is strongly preferred.

A bachelor’s degree in computer science from an accredited university in machine learning applied math, engineering, physics, statistics, or a closely related analytic field is required. A master’s or PhD degree is preferred.

Expert level knowledge of supervised and unsupervised algorithm approaches and machine learning techniques and algorithms, such as k-NN, Naïve Bayes, SVM, Decision Forests.

Proven expert-level programming skills with common data science toolkits in R, Python, MatLab, or stability

Proficient in using query languages at scale such as SQL, Hive, or Pig.

Proficiency in working with statistical packages such as STAT.

Excellent analytical skills - the ability to identify trends, patterns and insights from data

Working understanding of databases such as SQL Server, NoSQL databases such as MongoDB, Cassandra, and HBase, ETL framework and ETL tools, reporting and data visualisation tools such as Business Objects, PowerBi and Tableau.

Understanding of website scripts such as XML, Javascript, JSON

Presentation skills – ability to write and speak clearly to quickly communicate complex ideas in a way that is easy to understand.

Data visualization skills – ability to present findings to enterprise-level clients

Strong problem-solving skills, Strong attention to detail, and strong mathematical skills

A good communicator with effective stakeholder management & conflict resolution skills.

Prior work experience:

5+ five years of experience developing supervised and unsupervised algorithms using progressively large-scale and complex data sets with proven skills in executing data-based projects from initiation to completion.

7+ years’ experience with core analytic methodologies (e.g., regression, classification, clustering, matrix factorization, natural language processing, decision trees, support vector machines, neural networks)

7+ years’ experience managing large datasets, database design and implementation, data cleaning and mining statistical analyses, and machine learning.

Benefits:

Competitive salary and performance-based bonuses.

Comprehensive health and wellness benefits.

Opportunities for career growth and professional development.

Flexible work arrangements, including remote options.

Collaborative and innovative work culture.

Sorry, this position is not eligible for visa sponsorship.

Organizes, creates and maintains detailed project plans and data schemas. Develops and manages analytic databases. Integrates data from multiple sources as needed. Enhances data collection procedures to include relevant information for building analytic systems. Selects features, builds and optimizes classifiers using machine learning techniques. Mines data using natural language processing methods. Effectively communicates the status of projects. Submits reports to leaders for internal and external use.

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