Data Scientist I

Qlarant is a not-for-profit corporation that partners with public and private sectors to create high quality, safe, and efficient delivery of health care and human services programs. We have multiple lines of business including population health, utilization review, managed care organization quality review, and quality assurance for programs serving individuals with developmental disabilities. Qlarant is also a national leader in fighting fraud, waste and abuse for large organizations across the country. In addition, our Foundation provides grant opportunities to those with programs for under-served communities.

Best People, Best Solutions, Best Results

Job Summary:

Qlarant is seeking a dedicated and analytical Data Scientist to join our team on a full-time, regular basis. As a Data Scientist at Qlarant, you will be at the forefront of analyzing complex data sets to drive innovation and decision-making within our organization. Your role will involve extracting meaningful insights from data and using advanced statistical techniques to inform strategies and solve problems. You will be expected to collaborate with cross-functional teams to understand business needs and deliver data-driven solutions that align with company objectives. Your responsibilities will include designing and implementing models and algorithms, conducting rigorous data analysis, and presenting findings to stakeholders in a clear and actionable manner. You will also be responsible for managing large volumes of data, ensuring data quality, and maintaining a robust data infrastructure. The position offers a salary range between $62,831.00 and $87,901.00 annually, reflecting the entry-level nature of the job. While the role is remote, you should be prepared to travel up to 25% of the time to meet with team members or stakeholders as needed. This position does not offer a per diem. As a valued member of Qlarant, you will have the opportunity to contribute to a culture of excellence and integrity, while working in an environment that fosters professional growth and innovation. The ideal candidate will hold a 4-year degree in a relevant field and possess a strong passion for data science and its potential to drive positive change.

As a Data Scientist at Qlarant, you will be at the forefront of analyzing complex data sets to drive innovation and decision-making within our organization. Your role will involve extracting meaningful insights from data and using advanced statistical techniques to inform strategies and solve problems. You will be expected to collaborate with cross-functional teams to understand business needs and deliver data-driven solutions that align with company objectives. Your responsibilities will include designing and implementing models and algorithms, conducting rigorous data analysis, and presenting findings to stakeholders in a clear and actionable manner. You will also be responsible for managing large volumes of data, ensuring data quality, and maintaining a robust data infrastructure. While the role is remote, you should be prepared to travel up to 25% of the time to meet with team members or stakeholders as needed. This position does not offer a per diem. As a valued member of Qlarant, you will have the opportunity to contribute to a culture of excellence and integrity, while working in an environment that fosters professional growth and innovation. The ideal candidate will hold a 4-year degree in a relevant field and possess a strong passion for data science and its potential to drive positive change.

• Develop an understanding of the data relevant to the problem to be addressed.
• Utilize data wrangling techniques to work with data with the assistance of higher level Data Scientists when needed.
• Work with Data Science teams and individually as expertise develops to establish deterministic and probabilistic linkages between structured and unstructured data sources. Develop ways to extract and summarize the sought information in the data using basic statistical, data mining and machine learning techniques.
• Use basic machine learning and data mining techniques to understand the patterns in large volumes of data, identify relationships, correlate disparate datasets, detect data anomalies, and classify data sets.
• Design and build basic algorithms and predictive models using techniques such as linear and logistic regression, support vector machines, ensemble models (random forest and/or gradient boosted trees), neural networks, and clustering techniques.
• Convert designs and specifications into computer code as assigned. Compiles code into programs and corrects errors. Analyzes code to find causes of errors and revises programs.
• Contribute to teams creating prototypes of productizable ways to perform the analysis at scale, provide documentation and help educate your colleagues.
• Assist in conducting causality experiments by applying A/B experiments or epidemiological approach to identify the root issues of an observed result.
• Work with higher level Data Scientists to validate and optimize model performance upon deployment and tracking over time as necessary.
• Present analysis results tailored to different audiences (e.g. technical, manager, executive) that may include the use of data visualizations.
• Work as a member of client, product, and engineering teams to turn data into critical information and knowledge that can be used to make sound organizational and analytical decisions. May work directly with stakeholders as experience increases.
• Proficiency in programming languages such as Python, R, or SQL
• Strong understanding of statistical analysis, predictive modeling, and machine learning algorithms
• Experience with data visualization tools (e.g., Tableau, PowerBI)
• Ability to clean, manipulate, and analyze large datasets
• Knowledge of database management and data warehousing principles
• Familiarity with big data technologies (e.g., Hadoop, Spark)
• Understanding of data privacy and ethical considerations in data science
  

Qlarant is an Equal Opportunity Employer of Minorities, Females, Protected Veterans, and Individuals with Disabilities.