Experienced Full Stack Data Scientist – Conversational AI Operations
At blithequark, we're on a mission to revolutionize the way people live and work through innovative solutions that make a real difference in their lives. As a leading player in the healthcare and retail industries, we're committed to delivering exceptional customer experiences and driving business growth through cutting-edge technology. We're now seeking an experienced Full Stack Data Scientist to join our Conversational AI Operations team. As a key member of our team, you'll play a critical role in developing and deploying AI-powered solutions that drive business outcomes and improve customer satisfaction.
About blithequark
blithequark has a rich history dating back to 1901, when our founder, Charles R. Walgreen, opened a small food front store on the corner of Bowen and Cottage Grove Avenues in Chicago. Today, we're part of the Walgreens Boots Alliance (WBA), a global leader in healthcare, pharmacy, and retail. With over 9,000 stores across the United States, Puerto Rico, and the U.S. Virgin Islands, we're proud to serve nearly 10 million customers every day. Our commitment to innovation and customer-centricity has earned us a reputation as a trusted partner in the healthcare and retail industries. We're dedicated to making a positive impact on people's lives through our products and services, and we're always looking for talented individuals who share our passion for innovation and excellence.
Job Summary
As a Full Stack Data Scientist on our Conversational AI Operations team, you'll be responsible for designing, developing, and deploying AI-powered solutions that drive business outcomes and improve customer satisfaction. You'll work closely with cross-functional teams to identify business needs and develop data-driven solutions that meet those needs.
Key Responsibilities
* Drive the coordination and democratization of new technologies that acquire speed and productivity in data analysis methods
- Enhance models for deployment on cloud platforms and embedded devices
- Plan and develop AI models using the latest advancements
- Work on NLP and AI engineering design, testing, QA, and improving existing AI models
- Maintain model variants and metadata
- Develop production-level code for AI infrastructure (data pipelines, testing frameworks, model organization, MLOPS)
- Upgrade models for execution and flexibility (for better latency and throughput)
- Monitor model performance, maintenance, and investigation
- Design and validation of ideas for testing the latest AI and NLP, voice handling advancements. Perform A/B testing of candidate models
- Work with developers and data scientists to integrate ML models into production systems on the cloud and in embedded systems
- Stay up-to-date with the latest advancements in AI and related fields
- Uphold all undertakings in the Focus of Excellence and contribute to high-impact issues
- Execute effective training methodologies and integrate models into production systems
Essential Qualifications
* Bachelor's degree in Computer Science, Linguistics, or Cognitive Science
- At least 2+ years of experience in discourse recognition, or High School diploma/GED and at least 5+ years of experience in discourse recognition
- Mastery in programming languages such as SQL, Python, deep learning, PyTorch, TensorFlow
- Experience in automated deployment of trained AI models on cloud platforms
- Experience in discourse handling, NLP, voice-to-text handling, speaker ID, discourse sentiment handling, and interpretation
- At least 1 year of direct leadership, indirect leadership, or potentially cross-functional team leadership
- Ability to travel up to/no less than 10% of the ideal time for business purposes (within state and out of state)
Preferred Qualifications
* Master's degree, Graduate degree, or Ph.D. in Software Engineering, Linguistics, or Cognitive Science
- Experience in research, representation, and understanding of model results
- Experience with subtlety discourse recognition software, discourse fusion software, and voice biometrics software
- Working with cloud platforms like Azure and Google Cloud/Google Cloud Platform. MLOps-related experience for production workflow
- Familiar or conversant in Spanish
- Experience in retail or potentially the healthcare industry
- Group Management
What We Offer
* Competitive salary range: $35-$40/hour
- Comprehensive benefits package, including medical, dental, and vision insurance
- 401(k) matching program
- Paid time off and holidays
- Opportunities for professional growth and development
- Collaborative and dynamic work environment
- Recognition and rewards for outstanding performance
How to Apply
If you're a motivated and experienced data scientist looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your resume, cover letter, and any relevant documents through our online application portal. Apply Job! We're an equal opportunity employer and welcome applications from diverse candidates. We're committed to creating an inclusive and supportive work environment that values diversity, equity, and inclusion.
Top 10 Interview Questions
* Can you tell us about yourself?
- What interests you about this position?
- What are your strengths?
- What are your weaknesses?
- Can you give an example of a time when you solved a problem creatively?
- How do you handle stress and pressure?
- How would you describe your work style?
- Can you tell us about a time when you had to work with a difficult colleague or supervisor?
- How do you stay organized and prioritize tasks?
- What are your long-term career goals?
Required Documents
* Qualifications certificate with mark sheets
- Passport size photographs
- Signature
We look forward to hearing from you! Apply for this job