Why do you need to choose between doing important work and having a fulfilling life?At Ardent, we have both. Ardent employeesare committed to solving our customer's most difficult problemsand weare committed to the well-being, personal goals, and professional development of our employee. We are All In. We put forth our strongest effort possible to get the mission accomplished and we do it together. We respect the skills and experience you bring to the Ardent team. And we provide a rewarding environment to help you succeed.

We offer highly competitive benefits, professional development opportunities, and an exceptional culture that embraces flexibility, innovation, collaboration, and career growth. A collective service mindset underpins our work, and a shared camaraderie to serve clients, colleagues, and our communities sets us apart. Our full commitment to being "All In" for our employees and our clients is not just our approach, it is our standard. If this sounds like the perfect fit for you, choose Ardent and make a difference with us.

Ardent is seeking a Data Scientistto join our team.

This is aRemoteposition.

Position Description:

Ardentisseeking a highly skilled and motivated Data Scientist to join our team. As a Data Scientist, you will play a critical role in analyzing complex data sets, extracting valuable insights, and driving data-driven decision-making across the organization. You will work closely with cross-functional teams to solve challenging business problems, develop predictive models, and contribute to the growth and success of our company.

Responsibilities and Duties:

Data Analysis and Exploration:

• Conduct in-depth data analysis to identify trends, patterns, and anomalies.
• Clean, pre process, and transform raw data into usable formats for analysis.
• Utilize statistical techniques and machine learning algorithms to extract insights from data.

Model Development:

• Develop predictive models, algorithms, and machine learning solutions to solve business problems.
• Fine-tune and optimize models for improved accuracy and performance.
• Implement and deploy models into production systems when necessary.

Data Visualization:

• Create informative and visually appealing data visualizations and dashboards to communicate findings.
• Use tools like Tableau, Power BI, or similar to present data-driven insights to stakeholders.

Collaboration:

• Collaborate with cross-functional teams, including engineers, product managers, and business analysts.
• Provide data-driven recommendations to support decision-making processes.

Continuous Learning:

• Stay up-to-date with the latest advancements in data science, machine learning, and data analytics.
• Apply new techniques and technologies to improve existing models and processes.

Requirements:

• Ph.D. required in data science
• Proven experience as a Data Scientist, with 5+ years of relevant work experience.
• Proficiency in programming languages such as Python or R.
• Strong knowledge of data manipulation libraries (e.g., pandas, NumPy) and machine learning frameworks (e.g., scikit-learn, TensorFlow, or PyTorch).
• Solid understanding of statistical analysis, hypothesis testing, and A/B testing.
• Experience with data visualization tools and libraries (e.g., Matplotlib, Seaborn, Plotly).
• Familiarity with SQL and database management systems.
• Strong problem-solving skills and the ability to work independently and collaboratively.
• Excellent communication and presentation skills.
• Attention to detail and a commitment to producing high-quality work.

Due to the nature of the work we support, all candidates in consideration for this role must be U.S. Citizens willing to undergo the government-issued background investigation process.

Ardentis an equal opportunity employer. We will not discriminate and will take affirmative action measures to ensure against discrimination in employment, recruitment, advertisements for employment, compensation, termination, upgrading, promotions, and other conditions of employment against any employee or job applicant on the bases of race, color, gender, national origin, age, religion, creed, disability, veteran's status, sexual orientation, gender identity or gender expression.