Senior Data Scientist at Strata Decision Technology

Chicago, Illinois, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

HealthcareIndustries

Requirements

4-6 years of experience in data science roles, preferably within the healthcare or financial services sectors
Strong proficiency in computational programming languages such as Python and proficiency using command line, scripting, and environment management tools
Strong proficiency in SQL with the ability to explore, cleanse, and analyze messy data in large and complex relational databases
Demonstrated experience in data analysis and applied statistical modeling
Demonstrated experience with machine learning techniques, models, algorithms, and frameworks (e.g. classification, regression, clustering, XGboost, scikit-learn, etc.)
Expertise in time series modeling and forecasting a strong plus
Strong problem-solving skills and ability to translate strategic questions into tactical work plans and outputs that deliver meaningful business value
Experience working with big data and cloud data warehousing technologies like Snowflake, and familiarity with ETL processes and frameworks like dbt
Experience building analytical and data science products within a SaaS framework
Excellent communication and interpersonal skills, with the ability to present findings to differing audiences (e.g. internal technical and non-technical stakeholders, CFO, CEO, physicians, etc.)
Data-oriented personality

Responsibilities

Applying data mining techniques and statistical analysis to healthcare and financial data across our customer base
Processing, cleansing and verifying the integrity of data used for analysis and modeling
Becoming an expert in our data, conducting ad hoc analyses that support thought leadership and identifying opportunities to extend our data assets with third-party sources of information when needed
Developing, evaluating, deploying, monitoring, and maintaining models and algorithms that automate manual processes, enrich our existing data assets, produce deep insights, and yield new data products
Collaborating closely with data engineering, software development, and product management to translate business problems into data science solutions which can be integrated into StrataJazz, our “Best in KLAS” enterprise SaaS solution
Communicating complex technical concepts and analytical findings effectively to both technical and non-technical audiences through visualizations, documentation, and presentations to drive decision making
Contributing to a culture of collaboration, learning, technical excellence, and continuous improvement by sharing your knowledge, skills, and ideas with others

Skills

Key technologies and capabilities for this role

PythonSQLdata miningstatistical analysisdata processingdata cleansingmachine learningmodelingalgorithmsdata visualization

Questions & Answers

Common questions about this position

What experience level is required for this Senior Data Scientist role?

The role requires 4-6 years of experience in data science roles, preferably within the healthcare or financial services sectors.

What programming languages and technical skills are needed?

Strong proficiency in Python and SQL is required, along with experience in machine learning techniques, statistical modeling, data analysis, big data technologies like Snowflake, and ETL processes like dbt.

Is healthcare or financial services experience preferred?

Yes, experience in data science roles within the healthcare or financial services sectors is preferred.

What is the company culture like for this role?

The culture emphasizes collaboration, learning, technical excellence, and continuous improvement, with contributions through sharing knowledge, skills, and ideas.

What makes a strong candidate for this position?

Strong candidates will have 4-6 years of data science experience, proficiency in Python and SQL, machine learning expertise, problem-solving skills, and excellent communication abilities to present findings to diverse audiences.

Strata Decision Technology

Financial planning and analytics software provider

About Strata Decision Technology

Strata Decision Technology provides financial planning, analytics, and performance management software primarily for the healthcare sector. Their main product, StrataJazz, is a platform that assists organizations with budgeting, forecasting, and cost accounting. It helps clients make informed financial decisions, improve operational efficiency, and reduce costs, particularly in the challenging financial landscape of healthcare. Strata stands out from competitors by focusing specifically on the unique financial needs of hospitals and healthcare systems, leveraging insights from a large user community to enhance their solutions. The company's goal is to support organizations in achieving better financial outcomes, ultimately impacting patient care and sustainability.

Chicago, IllinoisHeadquarters

1996Year Founded

ACQUISITIONCompany Stage

Consulting, Enterprise Software, HealthcareIndustries

201-500Employees

Benefits

Hybrid Work Options

Flexible Work Hours

Performance Bonus

Risks

Decline in bariatric surgeries may reduce demand for Strata's analytics solutions.

Rising drug and supply costs could lead to budget cuts affecting Strata's software.

Integration with Syntellis may pose challenges and disrupt service delivery.

Differentiation

Strata offers SaaS solutions tailored for healthcare financial analytics and decision support.

StrataJazz platform excels in budgeting, forecasting, and cost accounting for healthcare.

Strata's 18-year history ensures top-rated customer satisfaction in healthcare IT.

Upsides

Integration with Syntellis enhances Strata's insights and accelerates innovation.

Rising AI adoption in finance offers Strata opportunities to expand analytics solutions.

Two-Midnight Rule expansion may increase demand for Strata's financial planning tools.

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