Senior Analytics Associate
Bethesda, Maryland, USA
Full Time Senior-level / Expert USD 275K
The HiLabs Story
HiLabs is a leading provider of AI-powered solutions to clean dirty data, unlocking its hidden potential for healthcare transformation. HiLabs is committed to transforming the healthcare industry through innovation, collaboration, and a relentless focus on improving patient outcomes.
HiLabs Team
- Multidisciplinary industry leaders
- Healthcare domain experts
- AI/ML and data science experts
- Professionals hailing from the worlds best universities, business schools, and engineering institutes including Harvard, Yale, Carnegie Mellon, Duke, Georgia Tech, Indian Institute of Management (IIM), and Indian Institute of Technology (IIT).
Job Title: Senior Analytics Associate
Job Location: Bethesda, Maryland, USA.
Job Duties:
- Experiment with real-world data to build statistical models;
- Formulate math models to solve process optimization/scheduling problems;
- Develop data validation & testing frameworks; Build data extraction pipelines based on data & business requirements;
- Process big data oncloud and on premise machines; Pre/Post processing for Data enhancement;
- Implement machine learning, deep learning, LLM techniques to solve data-driven problems;
- Execute project delivery; Lead/manage engineers and data scientist;
- Perform KT w/ teams to educate/share technical details.
Requirements:
- Master’s in Engineering, Data Science, or a closely related field and 6 months of experience in data analysis.
- In the alternative, we will accept a Bachelor’s in the above-stated fields plus 60 months of progressively responsible experience in the above-stated occupations.
- Additionally, all candidates must possess experience that includes 6 months in each of the following: machine learning; deep learning; big data processing; data analysis; coding language (Python, MATLAB, & Bash); and data science tools (Tensorflow, Keras, Pandas, & Scikitlearn).
Position is based out of 7272 Wisconsin Ave, Floor 9, Bethesda, MD 20814. Rate of Pay: $275,000.00/year. Benefits include competitive salary, accelerated growth opportunities; medical, dental, & vision insurance; life & disability insurance; 401K plan; ESOP; holidays; PTO; complimentary lunch & snacks; free parking; & gymnasium facility. Qualified applicants submit resume to https://hilabs.com/careers#jobs (Search for Senior Analytics Associate); or HR Manager, HiLabs Inc., 7272 Wisconsin Ave, Floor 9, Bethesda, MD 20814.
HiLabs is an equal opportunity employer (EOE). No job applicant or employee shall receive less favorable treatment or be disadvantaged because of their gender, marital or family status, color, race, ethnic origin, religion, disability, or age; nor be subject to less favorable treatment or be disadvantaged on any other basis prohibited by applicable law.
HiLabs is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse and inclusive workforce to support individual growth and superior business results.
Thank you for reviewing this opportunity with HiLabs! If this position appears to be a good fit for your skillset, we welcome your application.
HiLabs Total Rewards
Competitive Salary, Accelerated Incentive Policies, H1B sponsorship, Comprehensive benefits package that includes ESOPs, financial contribution for your ongoing professional and personal development, medical coverage for you and your loved ones, 401k, PTOs & a collaborative working environment, Smart mentorship, and highly qualified multidisciplinary, incredibly talented professionals from highly renowned and accredited medical schools, business schools, and engineering institutes.
CCPA disclosure notice - https://www.hilabs.com/privacy
Tags: Big Data Data analysis Deep Learning Engineering Keras LLMs Machine Learning Mathematics Matlab Pandas Pipelines Privacy Python Statistics TensorFlow Testing
Perks/benefits: 401(k) matching Career development Competitive pay Health care Insurance
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.