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Applied Machine Learning Scientist III (Hybrid Position)

Teladoc Health is a global, whole person care company made up of a diverse community of people dedicated to transforming the healthcare experience. As an employee, you’re empowered to show up every day as your most authentic self and be a part of something bigger – thriving both personally and professionally. Together, let’s empower people everywhere to live their healthiest lives.Summary of Position (This is a hybrid position)Join the Data Science team at Teladoc Health and be part of an exciting machine learning initiative. As an Applied Machine Learning Scientist III, you will collaborate with leading machine learning scientists and marketing teams to create scalable data processing and machine learning pipelines that drive Teladoc Health’s business success.Your role presents an incredible opportunity to apply technical excellence to real-world business challenges. You will engineer, deploy, measure, and iterate ML in production using the latest tools and algorithms. With your contributions, you will help Teladoc Health achieve its vision and continue to lead the industry.Essential Duties and Responsibilities• Investigate, explore, and prototype advanced ML algorithms to understand the users’ behavior better and improve the user’s enrollment.• Design, develop, deploy, and maintain production-grade scalable ML pipelines, encompassing data cleaning, transformation, feature construction, model training, tuning, evaluation, serving, and monitoring dashboards.• Utilize Python, SQL, Spark, TensorFlow, and NLP to write clean, reusable, and robust code for data engineering and machine learning pipelines. This includes data transformation, feature engineering, unsupervised, supervised, and reinforcement learning.• Conduct large-scale statistical A/B testing to assess the perform ance of machine learning and statistical models in marketing applications, driving a substantial volume of users to Teladoc platforms.• Develop and implement personalization and uplift models to actively engage members with the Teladoc platform.• Deliver direct, measurable results for the business by enhancing recommendations and search results.• Establish best practices for model deployment, monitoring, and interpretability.• Interpret the results of your work for marketing and business stakeholders.• Collaborate closely with the marketing team to discover and distill requirements of problem definitions, evaluation metrics, product features, and architecture to improve the outcomes using insights and models.• Solid communication and stakeholder management skills, plus the ability to deliver complex projects on time.Qualifications Expected for Position• 4+ years' experience in Machine Learning, Data Science roles in SaaS or consumer companies.• A master's degree or Ph.D. in computer science, machine learning, information systems, engineering, or a related field.• Self-driven individual with a strong ML theoretical background and passionate about learning new approaches, techniques, and tools.• Deep knowledge of probability, statistics, recommendation engines, deep learning, and ML algorithms.• Expertise in applied ML for Causal Inference and Recommendation Systems, including classical and deep learning-based approaches.• Expertise in cloud ETL and ML pipeline tools like Jenkins, Databricks, and MLflow.• Strong skillset in writing clean, robust, and reusable Python, Spark, and SQL code. With the ability to write efficient SQL queries for processing large-scale data.• Familiarity with multi-armed bandit problems will be a plus.• Familiarity with big data platforms (like Spark and Dask), machine learning frameworks (like Tensorflow, Keras, or PyTorch), and libraries (like Pandas and Scikit-learn).• Experience with agile sprint processes to deliver ML work.• Excellent active listening skills to infer business needs and underlying context.• Ability to collaborate effectively with peers and respect for user privacy.The base salary range for this position is $90,000 - $140,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: Teladoc Health Benefits 2024. Total compensation is based on several factors, including, but not limited to, type of position, location, education level, work experience, and certifications. This information applies to all full-time positions.About UsTeladoc Health is the global virtual care leader, offering the only comprehensive virtual care solution spanning telehealth, expert medical, and licensed platform services. Teladoc Health serves the world's leading insurers, employers, and health systems and helps millions of people around the world resolve their healthcare needs with confidence.Job Description AcknowledgmentThis job descri

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What You Should Know About Applied Machine Learning Scientist III (Hybrid Position), Teladoc Health

As an Applied Machine Learning Scientist III at Teladoc Health, located in Harrison, NY, you’ll be diving deep into the world of machine learning to create innovative solutions that truly transform the healthcare experience. This is not just a job; it’s a chance to be part of a mission-driven team that values authenticity and growth. In this hybrid position, you’ll work hand-in-hand with brilliant machine learning scientists as well as our dynamic marketing teams, collaborating to build scalable data processing and ML pipelines that directly contribute to the success of Teladoc Health. Your expertise will shine as you investigate and prototype advanced ML algorithms to understand user behavior better and enhance enrollment strategies. You'll also be responsible for designing and maintaining production-grade ML pipelines that span everything from data cleaning to model monitoring. Utilizing tools like Python, SQL, Spark, and TensorFlow, you’ll develop high-quality code that not only processes data efficiently but also advances our ML capabilities. With responsibilities such as conducting large-scale A/B testing and developing personalization models, you will be at the forefront of our marketing initiatives, driving engagement and improving user experiences. At Teladoc Health, you’ll have the opportunity to deliver measurable results and collaborate with various stakeholders, ensuring that our data insights are aligned with business goals. If you’re a self-driven individual with a solid ML background and a passion for innovative technology, join us and help shape the future of healthcare!

Frequently Asked Questions (FAQs) for Applied Machine Learning Scientist III (Hybrid Position) Role at Teladoc Health

What are the main responsibilities of an Applied Machine Learning Scientist III at Teladoc Health?

The Applied Machine Learning Scientist III at Teladoc Health is primarily responsible for designing, developing, and maintaining scalable machine learning pipelines, conducting large-scale statistical A/B testing, and collaborating with marketing teams to improve user engagement. This position involves utilizing advanced ML algorithms and tools like Python, SQL, and TensorFlow to drive real-world business solutions, ensuring that machine learning initiatives align closely with the company's overall goals.