Data Scientist

QTech US, Inc

Reston, VA, United States

25 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

4 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

PHP (Programming Language) Artificial Intelligence Amazon Web Services Data Analysis Artificial Neural Networks Unit Testing Big Data Health Informatics Cluster Analysis Computer Programming Extract Transform Load (ETL) Data Mining

+26 more

Data Structures Data Visualization Distributed Systems Perl (Programming Language) R (Programming Language) Apache Hadoop Apache Hive SPSS (Software) Python (Programming Language) MATLAB Machine Learning NumPy Software Prototyping SAS (Software) SQL Databases Stata Scripting Random Forest Apache Spark Deep Learning Pandas Scikit Learn Production Code Modeling and Simulation Unsupervised Learning Programming Languages

Job description

Immediate need for a Data Scientist to support our customer, a Federal Healthcare Insurance organization. The selected candidate will be responsible for identifying and solving business problems by using various numerical techniques, algorithms, and models in statistical modeling, machine learning, AI, operations research, and data mining. The selected candidate will use advanced analytical capabilities to support data science initiatives. Communicates across product teams and with customers and educates on artificial intelligence, machine learning, and statistical models. Acting as a liaison and interface between analytics, business units and other departments.
Each of our clients data scientists owns their own high-impact projects, whether it is a new modeling technique delivering better predictions, a new analysis and visualization highlighting weak spots in our pipelines, or a new tool that can help the team-s workflow. We-re looking for a Data Scientist who can leverage their prior experience and take on and lead large data science projects, from inception to completion. In addition to contributing technically throughout the project, you will also responsible for: working with product to refine product requirements, managing/coordinating the efforts of other data scientists contributing to the project, and interfacing with stakeholders throughout the company.

Requirements

8+ years as a Data Scientist. Seeking both model building and deployment experience.
Degree’ed professionals are preferred (4 additional years of experience could replace degree)
Python and SQL are required. Advanced proficiency in Python and Spark/Scala for classical statistical analysis and data modeling, machine learning and ETL processes. Intermediate to advanced ability to create data visualizations using Python.
AWS Cloud knowledge (AWS migration considered big plus). Must have solid knowledge in one or more AWS Service (SageMaker, Bedrock, Kendra, Lambda are REQUIRED)
Ability to write production-ready code including documentation and unit tests.
Experience with machine learning methods like k-nearest neighbors, random forests, ensemble methods and more = Required
Strong expertise in Artificial Intelligence (AI) / Machine Learning (ML) is required.
AgenticAI is a big plus
Proficiency in data science modeling - Machine Learning, Deep Learning, Decision Trees, Random Forest, Neural Networks, Supervised/Unsupervised Learning, Forecasting, Predictive Modeling and Clustering.
Strong background in machine learning using unsupervised and supervised methods.
Deep knowledge of fundamentals of machine learning, data mining and statistical predictive modeling, and extensive experience applying these methods to real world problems
Fluency in SQL and other programming languages. Some development experience in at least one scripting language (PHP, Python, Perl, etc.)
Strong skills in software prototyping and engineering with expertise in applicable programming and analytics languages (Python, R, Spark/Scala) and various open source machine learning and analytics packages to generate deliverable modules and prototype demonstrations of their work.
Proven experience of using Python Machine Learning & Data Pre-processing Libraries. (Scikit Learn, Numpy, Pandas)
Ability to initiate and drive projects to completion with minimal guidance
The ability to communicate the results of analyses in a clear and effective manner
Ability to transform concepts into practical solutions. Experience with data science/ML techniques
Machine Learning experience – Successful implementation of ML solutions
Communication Ability – Experience/comfort in presenting abstract concepts Preferred Skills:
Preferred experience with a statistical package such as R, MATLAB, SPSS, SAS, Stata, etc.
Proficiency with healthcare analytics and data structures is preferred.
Desired interdisciplinary skills include big data technologies, ETL, statistics and causal inference, Deep Learning, modeling and simulation. - Experience with large data sets and distributed computing (Hive/Hadoop) a plus.
Leading data science projects or teams (as the most technically advanced team member) or working independently on data science projects.