Applied Machine Learning Scientist III

13 Mar 2024
Job Information

Organisation/Company

Teladoc Health

Research Field

Computer science

Researcher Profile

Recognised Researcher (R2)

Country

Spain

Application Deadline

11 Apr 2024 - 00:00 (UTC)

Type of Contract

To be defined

Job Status

Full-time

Hours Per Week

To be defined

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

At Teladoc Health, we're transforming the lives of people through whole person virtual care. You'll have the benefit to positively impact the lives of hundreds of thousands (soon millions!) of people through personalized interventions to the right person at the right time.

The machine learning effort is part of the Data Science team at Teladoc Health. In your role as a Machine Learning Data Scientist III, you will work closely with machine learning scientists and marketing teams to create scalable data processing and machine learning pipelines that directly drive Teladoc Health's business forward.

This is an opportunity to use technical rigor to apply scalable data processing tools and machine learning algorithms to real-world business problems; and engineer, deploy, measure, and iterate ML in production.

Role and Responsibilities

-Investigate, explore and prototype advanced ML algorithms to better understand the users' behavior and improve the users' 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 learning, supervised learning, and reinforcement learning.

-Conduct large-scale statistical A/B testing to assess the performance 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 through the enhancement of 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 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 ability to deliver complex projects in time.

Skill Requirements/Preferences

-4+ years' experience in Machine Learning, Data Science roles in SaaS or consumer companies.

-A master's degree or PhD in computer science, machine learning, information systems, engineering, or a related field.

-Self-driven individual with 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 code in Python, Spark and SQL. With 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.

-Great active listening skills to infer business needs and underlying context.

-Ability to collaborate effectively with peers, and respect for user privacy.

Requirements
Additional Information
Work Location(s)

Number of offers available

1

Company/Institute

Teladoc Health

Country

Spain

Geofield

Where to apply

Website

https://illbeback.ai/job/applied-machine-learning-scientist-iii-3/?utm_source=e…

STATUS: EXPIRED