Data Scientist

Our Promise

Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards.

Job Summary:

The Data Scientist is responsible for leveraging their expertise in statistics, computer science and business acumen to extract meaningful insights from complex datasets. This person will play a crucial role in helping organizations make data-driven decisions, solve challenging problems and drive data innovation.

Competencies:

Functional:

• Collaborate with colleagues in other departments to improve business outcomes
• Identify and mine reliable internal and external data sources
• Design custom tools to optimize data mining, cleaning, validation and analysis tasks
• Develop and apply custom data models and algorithms to data sets
• Develop tools and testing models to ensure data accuracy
• Create and present reports that detail your findings, recommendations and solutions

Core:

• Data Acquisition and Preparation: Identifying relevant data sources, collecting, cleaning, processing, and transforming raw data into a usable format. This often involves dealing with both structured and unstructured data.
• Exploratory Data Analysis (EDA): Investigating datasets to uncover patterns, trends, relationships, and anomalies. This stage helps in formulating hypotheses and understanding the data's potential.
• Statistical Analysis and Modeling: Applying statistical methods and building mathematical models to analyze data, test hypotheses, and make predictions. This includes a strong understanding of statistical concepts, regressions, and probability.
• Machine Learning and Predictive Modeling: Developing, training, and deploying machine learning algorithms and predictive models to forecast outcomes, classify data, and automate processes. This involves selecting appropriate algorithms, feature engineering, and model evaluation.
• Data Mining and Pattern Recognition: Utilizing techniques to discover hidden patterns and insights within large datasets, which can be used for tasks like fraud detection or customer behavior prediction.
• Experimentation and Hypothesis Testing: Designing and conducting experiments (e.g., A/B testing) to validate hypotheses, measure the impact of changes, and optimize solutions.
• Data Visualization and Communication: Presenting complex findings and insights in a clear, concise, and engaging manner to both technical and non-technical stakeholders. This often involves creating reports, dashboards, and compelling visual representations of data.

Behavioral:

• Collegiality: building strong relationships on company-wide, approachable, and helpful, ability to mentor and support team growth.
• Initiative: readiness to lead or take action to achieve goals.
• Communicative: ability to relay issues, concepts, and ideas to others easily orally and in writing.
• Member-focused: going above and beyond to make our members feel seen, valued, and appreciated.
• Detail-oriented and thorough: managing and completing details of assignments without too much oversight.
• Flexible and responsive: managing new demands, changes, and situations.
• Critical Thinking: effectively troubleshoot complex issues, problem solve and multi-task.
• Integrity & responsibility: acting with a clear sense of ownership for actions, decisions and to keep information confidential when required.
• Collaborative: ability to represent your own interests while being fair to those representing other or competing ideas in search of a workable solution for all parties.

Minimum Qualifications:

• Bachelor's degree in computer science, Data Science, Math or related field.
• 5+ years' experience working in healthcare
• Demonstrated expertise in statistics, computer science and business acumen to extract meaningful insights from complex datasets.
• Expertise in designing multi-cloud or hybrid data ecosystems.
• 5+ years' experience using Java, JavaScript, Python, R or SQL
• Experience with business intelligence and data analytics tools such as PowerBI
• Familiarity with machine learning techniques and when they should be used
• Familiarity with statistical and data mining techniques and when it is appropriate to use them
• Strong problem-solving skills

Preferred Qualifications:

• Master's degree in data science, Computer Science, or related field.
• Experience with AI-driven data architecture and advanced analytics solutions.
• Proficiency in cloud-native database management and DevOps practices.

At Avsis, we strive to design equitable, and competitive compensation programs. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current pay ranges for new hires in each zone are:

This role may also be eligible for benefits, bonuses, and commission.

Please visit Avesis Pay Zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

We Offer

• Meaningful and challenging work opportunities to accelerate innovation in a secure and compliant way.
• Competitive compensation package.
• Excellent medical, dental, supplemental health, life and vision coverage for you and your dependents with no wait period.
• Life and disability insurance.
• A great 401(k) with company match.
• Tuition assistance, paid parental leave and backup family care.
• Dynamic, modern work environments that promote collaboration and creativity to develop and empower talent.
• Flexible time off, dress code, and work location policies to balance your work and life in the ways that suit you best.
• Employee Resource Groups that advocate for inclusion and diversity in all that we do.
• Social responsibility in all aspects of our work. We volunteer within our local communities, create educational alliances with colleges, drive a variety of initiatives in sustainability.

How To Stay Safe

Avsis is aware of fraudulent activity by individuals falsely representing themselves as Avsis recruiters. In some instances, these individuals may even contact applicants with a job offer letter, ask applicants to make purchases (i.e., a laptop or gift cards) from a designated vendor, have applicants fill out W-2 forms, or ask that applicants ship or send packages of goods to the company.

Avsis would never make such requests to applicants at any time throughout our job application process. We also would never ask applicants for personal information, such as passport numbers, bank account numbers, or social security numbers, during our process. Our recruitment process takes place by phone and via trusted business communication platform (i.e., Zoom, Webex, Microsoft Teams, etc.). Any emails from Avsis recruiters will come from a verified email address ending in @ Avsiscom.

We urge all applicants to exercise caution. If something feels off about your interactions, we encourage you to suspend or cease communications. If you are unsure of the legitimacy of a communication you have received, please reach out to ITsupport@Avesis.com.

To learn more about protecting yourself from fraudulent activity, please refer to this article link (https://consumer.ftc.gov/articles/how-avoid-scam). If you believe you were a victim of fraudulent activity, please contact your local authorities or file a complaint (Link: https://reportfraud.ftc.gov/#/) with the Federal Trade Commission. Avsis is not responsible for any claims, losses, damages, or expenses resulting from unaffiliated individuals of the company or their fraudulent activity.

Equal Employment Opportunity

At Avsis, We See You. We celebrate differences and are building a culture of inclusivity and diversity. We are proud to be an Equal Employment Opportunity employer that considers all qualified applicants and does not discriminate against any person based on ancestry, age, citizenship, color, creed, disability, familial status, gender, gender expression, gender identity, marital status, military or veteran status, national origin, race, religion, sexual orientation, or any other characteristic. At Avsis, we believe that, to operate at the peak of excellence, our workforce needs to represent a rich mixture of diverse people, all focused on providing a world-class experience for our clients. We focus on recruiting, training and retaining those individuals that share similar goals. Come Dare to be Different at Avsis, where We See You!