Why do you need to choose between doing important work and having a fulfilling life? At Ardent, we have both. Ardent employees are committed to solving our customers’ most difficult problems—and we are 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 set 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 Scientist to join our team.
This is a Remote position.
Position Description:
Ardent is seeking a highly skilled and motivated Data Scientist to join our team. As a Data Scientist, you will play a critical role in analyzing complex unstructured data sets, extracting valuable insights, and driving data-driven decision-making for product and service development. You will work closely with cross-functional teams to solve challenging business problems, develop AI/ML models, and contribute to the growth and success of our company.
Responsibilities and Duties:
Data Analysis and Exploration:
- Conduct in-depth analysis of unstructured data, including text and image data, to identify trends, patterns, anomalies, and biases.
- Clean, preprocess, and transform raw unstructured data into usable formats for analysis.
- Utilize NLP and CV techniques to extract insights from data..
Model Development:
- Research and develop AI/ML models, and algorithms focusing on NLP and CV applications.
- Fine-tune and optimize models for improved performance across metrics.
- Implement and deploy models into production systems when necessary.
- Implement explainable AI algorithms to allow stakeholders to comprehend and trust model outputs.
Data Visualization:
- Create informative and visually appealing data visualizations and dashboards to communicate findings.
- Use tools like Grafana, 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.
Responsible AI:
- Ensure models and AI solutions adhere to ethical guidelines and responsible AI practices.
- Monitor and mitigate biases in data and models to promote fairness and transparency.
Continual Learning:
- Stay up-to-date with the latest advancements in NLP, CV, and responsible AI.
- Apply new techniques and technologies to improve existing models and processes.
Requirements:
- Ph.D. in Data Science or a related field.
- Proven experience as a Data Scientist, with 2+ years of relevant work experience.
- Proficiency in programming languages such as Python or R.
- Strong knowledge of NLP and CV libraries (e.g., spaCy, NLTK, OpenCV) and machine learning frameworks (e.g., TensorFlow, PyTorch).
- Solid understanding of statistical analysis, hypothesis testing, and A/B testing.
- Experience with data visualization tools and libraries (e.g., Matplotlib, Seaborn, Plotly).
- Experience with researching and developing AI/ML models.
- 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 either U.S. Citizens or Valid Green Card holders who do not/will not require sponsorship of any kind.
Ardent is 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.
United States
