Sr. Machine Learning Engineer - Pittsburgh, United States - TeleTracking Technologies, Inc.

Description

Job Description

Sr. Machine Learning Engineer – Data Scientist

Job Summary

TeleTracking is growing and the data processing landscape is shifting. We collect terabytes of data of various types, including real-time, from a cadre of sources from all of our clients. Our clients, large and small health systems, too are growing. The kinds and amount of data that each generates on a yearly basis is exponentially growing. Having this data improves our clients' situational awareness, leading them to better understand how they are performing in order to improve their overall outcomes. This is true for the smallest community hospital to the largest health system.

As a TeleTracking Data Scientist you will be working in one of the most complex data environments in healthcare. We are developing state-of-the-art large-scale Machine Learning Services and Applications on the Cloud involving large amounts of data. We work on applying predictive technology to a wide spectrum of problems. We are looking for talented and experienced Machine Learning Engineers/Data Scientists who can apply innovative Machine Learning techniques to real-world problems. You will get to work in a team dedicated to advancing Machine Learning solutions at TeleTracking and converting them into operational improvements for healthcare. You should be someone who loves to bring data together to answer business questions and drive change.

Experience

TeleTracking has a large and robust healthcare data set. We are expanding our team to include experienced machine learning engineers to help create actionable insight from this data. You will work with data experts to integrate predictive analytics into the healthcare operations.

• Experience with applying machine learning models to solve real-world problems (i.e. with multiple stake holders) as part of their on-the-job duties.
• Emphasis on analysis and model development, but experience deploying a model for an end-to-end app solution of some sort.
• Advanced machine learning skills using Python or R: clustering, regression, classification, and machine learning frameworks such as Apache Mahout.
• Assess model performance; train multiple models; carry out tuning. Run A/B tests on models.
• Some familiarity with deep learning.
• Experience working with database systems.
• Transform and clean data into an appropriate form for statistical analysis.
• Work with domain experts to identify areas where predictive analytics can take us to the next level.
• Be an active listener, probe requirements for all projects from relevant stakeholders, stay nimble and willing to produce rapid iterations.
• Be capable of self-direction, within context.

Skills:

• Some familiarity with deep learning.
• 3+ years of machine learning experience. Experience using predictive analytics in a business or healthcare setting.
• Deep knowledge of a scripting or statistical programming language (Python preferred). Basic SQL. Ability to efficiently work with very large datasets. Ability to deal with non-standard machine learning datasets (class-imbalances, sparse matrices, etc.)
• Comfortable writing complex SQL queries. Experience developing python packages. Version control experience in Git or a similar system. Experience with agile development practices. Experience with Hadoop. Experience with low-level machine learning libraries
• 3+ years of developing implementing machine learning algorithms using Python.
• 5+ years of SQL
• 2+ years working with open-source Big Data technology stacks (Apache Nifi, Spark, Kafka, HBase, Hadoop/HDFS, Hive, Drill, Pig, etc.) or commercial open source Big Data technology stacks (Hortonworks, Clouder, etc.)
• 3+ years with document databases (e.g. MongoDB, Accumulo, etc.)
• 2+ years of distributed version control system (e.g. git)
• 1+ years of experience in cloud-based development and delivery

Duties and Responsibilities

• Use machine learning, data mining, and statistical techniques to create new, scalable solutions for business problems.
• Analyst and extract relevant information from business data to help automate and optimize key processes.
• Design, develop, and evaluate highly innovative models for predictive learning.
• Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation.
• Research and implement novel machine learning and statistical approaches.

Education:

• Master's Degree in Computer Science or other related field of study (preferred).
• Bachelor's Degree in Computer Science or other related field of study (required).

Who we are

For over 30 years, TeleTracking has been operating with a simple mission, to ensure that no one waits for the care they need. Our state-of-the-art technology, combined with actionable best practices and a strong advisory services team, means that we provide the critical operational components required to build a responsive, resilient healthcare system. One of those key components is the centralization of hospital ability to see in real-time everything from the number of available beds to receive and treat patients to the number of pieces of available medical equipment. TeleTracking values people with an entrepreneurial spirit, creativity and building strong relationships with our employees. We believe that diversity, equity, and inclusion in our workforce keeps us competitive and provides opportunities for everyone.

Work Environment

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions. The term "qualified individual with a disability" means an individual with a disability who, with or without reasonable accommodation, can perform the essential functions of the position. While performing the duties of this job, the employee is regularly required to communicate professionally in person, over the telephone, through email and other electronic means, move about the office, handle various types of media and equipment, and visually or otherwise identify, observe, and assess. The employee is occasionally required to lift to 10 pounds unless otherwise specified in the job description.

TeleTracking is committed to providing equal employment opportunity to all people in all aspects of the employment relationship, without discrimination because of race, age, sex, color, religion, national origin, disability or status as a Vietnam era or special disabled veteran or any other unlawful basis, as defined by applicable law, and fostering a workplace free of unlawful discrimination and retaliation. This policy affects decisions including, but not limited to, hiring, compensation, benefits, terms and conditions of employment, opportunities for promotion, transfer, layoffs, return from a layoff, training and development, and other privileges of employment. An integral part of TeleTracking's commitment is to comply with all applicable federal, state, and local laws concerning equal employment and affirmative action.