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Company

Lash Group · 23 hours ago

Data Scientist II

Dallas, TX

Full-time

Remote

Mid, Senior Level

5+ years exp

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Health Care

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Responsibilities

Use advanced statistical, Artificial Intelligence (AI) and computational methodologies to deliver insights and strategic opportunities to improve the quality, patient experience, and cost of healthcare.

Establish scalable, efficient, and automated processes for large scale data analyses and model development, validation, and implementation

Proactively monitor and analyze complex systems to understand, diagnose, and continuously improve key performance indicators

Analyze the models that could be used to solve a given problem, suggest the most optimal model to senior members of the team for feedback and direction

Proficient in problem definition, i.e., able to translate business/research questions into analytical questions and translate analytical results into business/research solutions

Assist senior members of the team in writing statistical methodology and results for technical reports and publications

Manipulate, combine, and refine large datasets to produce information suitable for analysis, including verifying data quality and implementing data quality improvements, as well as feature engineering

Develop algorithms for data analysis and write computer code to implement them

Assist in developing and evolving Cencora’s Data Science and Artificial Intelligence (AI) Strategy

Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world

Provide input into the data acquisition process if more data is needed

Find available datasets online that could be used for training

Analyze model errors and discuss strategies to overcome them with senior members of the team

Collaborate with Cognitive Computing, Data Engineering, BI/Data Visualization, Analytics Products, Operations, and Client Analytics teams regularly

Present analytics findings to other Analytics teams for knowledge sharing

Work directly with client-facing analytics consultants to understand client needs and develop solutions to satisfy those needs

Collaborate with Cognitive Computing team on pursuits that can leverage Machine Learning to enhance the developed solution

Implement model evaluation metrics and evaluate model performance using these metrics, with guidance and reviews from senior members of the team

Qualification

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Data ScienceMachine LearningStatistical AnalysisPythonSQLData ArchitectureData VisualizationAgile EnvironmentOpenAI APIFeature EngineeringAdvanced MathMentoring

Required

Five (5) or more years of experience working with data programmatically (or demonstrated expertise in data management and data architecture)

Four (4) or more years of experience in a data science capacity (or demonstrated expertise in data science)

Master’s or PhD in computer science, math, statistics, data science, machine learning, artificial intelligence or a related discipline

Demonstrated ability to perform assigned tasks with minimal supervision

Strong data modeling and data architecture skills

Strong SQL skills

Strong programmer in Python; Familiarity with other programming languages a plus

Experience with leveraging data in multiple formats/technologies (relational, time series, unstructured, json, etc.)

Experience working in an Agile environment

Advanced math skills (linear algebra, Bayesian statistics, group theory)

Strong written and verbal communications

Capable of researching new technologies and/or trends in Data Science, and ability to quickly adapt to new approaches

Mentor and orient teammates

Partner with senior members of the team to assess project needs and define business questions

Establish relationships with relevant departments to understand the data and the data collection process

Able to take leadership of at least one project and accommodate frequent interruptions and changing priorities

Creative entrepreneur who finds innovative ways to overcome roadblocks and get things done

Preferred

OpenAI or Azure OpenAI API along with LangChain/Llama Index experience will be a big plus.

Experience with data visualization tools/best practices a plus (particularly interested in leveraging analytics packages for data visualization, such as Plotly)