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Software Guidance & Assistance, Inc. (SGA, Inc.)

Remote Data Scientist (Healthcare Claims)

Software Guidance & Assistance, Inc. (SGA, Inc.), Jacksonville, Florida, United States, 32290


Software Guidance & Assistance, Inc., (SGA), is searching for a

Remote Data Scientist (Healthcare Claims)

for a

Contract

assignment with one of our premier

Health Insurance

clients.

Top Skills Needed:Healthcare background (medical claims/payment integrity)Strong proficiency in Python programming languageExperience with data science libraries and frameworks, including NumPy, Pandas, and scikit-learnFamiliarity with machine learning algorithms and models, including supervised and unsupervised learningExperience with data visualization tools, such as Matplotlib, Seaborn, or PlotlyPreferred:Experience with deep learning frameworks, TensorFlow or KerasKnowledge of big data technologies, Hadoop, Spark, or NoSQL databasesCertification in data science or a related field (e.g., Certified Data Scientist)Responsibilities:Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, data modeling, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries.Use a flexible, analytical approach to design, develop, and evaluate predictive models. Generate and test hypotheses.Proactively seek to develop skillsets and provide value-added support within the Data Science team.Essential functions:Support large projects and manage smaller projects in their entirety.Partner with senior team members to assess customer needs and define business questions.Communicate results and insights, both verbally and written (including visual graphics), in a clear and concise manner to a non-technical audience.Identify and communicate roadblocks.Work on multiple concurrent projects and accommodate frequent interruptions and changing priorities.Effectively participate in meetings with customers and guide discussion and decision making.Acquire and bring structure to data for use in existing and new data systems.Build tools that help translate insights into action at scale.Identify, define and translate business needs/problems into analytical questions.Design and execute experiments, models, algorithms, and visualizations.Understand data sources and limitations, warehousing systems, and the impact of the data on business decisions.Identify, retrieve, and manipulate data from internal and external datasets.Apply statistical and computational methodologies to provide actionable insights and identify opportunities that optimize quality, consumer experience, and healthcare costs.Develop scalable, efficient, and automated processes for large scale data analyses and model development, validation, and implementation.Contribute to technical reports, white papers, and publications.Stay current on new processes and technology in Data Science and communicate findings to the team.Perform all other tasks as assigned.Required Skills:Healthcare background (medical claims/payment integrity)Strong proficiency in Python programming languageExperience with data science libraries and frameworks, including NumPy, Pandas, and scikit-learnFamiliarity with machine learning algorithms and models, including supervised and unsupervised learningExperience with data visualization tools, such as Matplotlib, Seaborn, or PlotlyPreferred Skills:Experience with deep learning frameworks, TensorFlow or KerasKnowledge of big data technologies, Hadoop, Spark, or NoSQL databasesCertification in data science or a related field (e.g., Certified Data Scientist)SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements.SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status.

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