Data Scientist

Why should you have to select between crucial work and a satisfying life? At Ardent, you can experience both. Employees at Ardent are devoted to resolving our customers' most challenging issues—and we are equally dedicated to our employees' well-being, personal aspirations, and professional growth. We embody an "All In" attitude. We exert our utmost effort to achieve our mission, and we do it collectively. We value the expertise and experience that you contribute to the Ardent team. Moreover, we foster a fulfilling environment that helps you thrive.

We provide very competitive benefits, professional development opportunities, and a unique culture that supports flexibility, innovation, collaboration, and career progress. A mutual service mentality underpins our work, and a shared sense of comradeship to serve clients, colleagues, and our communities differentiates us. Our full commitment to being "All In" for our employees and our clients isn't just our methodology, but rather our standard. If this resonates with you, choose Ardent and make a difference with us.

Ardent is currently seeking to hire a Data Scientist within our team.

This is a remote position.

Job Description:

Ardent is looking for a highly capable and motivated Data Scientist to join our team. As a Data Scientist, you will have a vital role in examining complicated data sets, extracting valuable insights, and promoting data-driven decision-making across the company. You'll be working closely with multidisciplinary teams to address pressing business issues, develop predictive models, and contribute to the company’s growth and success.

Duties and Responsibilities:

Data Analysis and Exploration:

• Conduct thorough data analysis to identify trends, patterns, and anomalies.
• Cleanse, preprocess, and convert raw data into formats suitable for analysis.
• Use statistical methods and machine learning algorithms to extract insights from data.

Model Development:

• Create predictive models, algorithms, and machine learning solutions to address business issues.
• Refine and optimize models for improved precision and performance.
• Implement and launch models into production systems when needed.

Data Visualization:

• Design informative and aesthetically pleasing data visualizations and dashboards to communicate findings.
• Employ tools like Tableau, Power BI, or similar to present data-driven insights to stakeholders.

Collaboration:

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

Continuous Learning:

• Remain current with the latest advancements in data science, machine learning, and data analytics.
• Adopt new techniques and technologies to enhance existing models and processes.

Qualifications:

• A Bachelor's degree in Computer Science, Data Science, Statistics, or a related field (Master's or Ph.D. preferred).
• Demonstrable experience as a Data Scientist, with at least 5 years of relevant work experience.
• Competency in programming languages such as Python or R.
• Thorough 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 using data visualization tools and libraries (e.g., Matplotlib, Seaborn, Plotly).
• Familiarity with SQL and database management systems.
• Excellent problem-solving skills and the capability to work both independently and as part of a team.
• Outstanding communication and presentation abilities.
• Meticulous attention to detail and a commitment to high-quality work.

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

Ardent is an equal opportunity employer. We will not discriminate and will undertake affirmative action measures to prevent discrimination in employment, recruitment, employment advertisements, compensation, termination, advancement, promotions, and other employment conditions against any employee or job applicant based on race, color, gender, national origin, age, religion, creed, disability, veteran's status, sexual orientation, gender identity, or gender expression.