17 Data Scientist Jobs in Bethesda, MD
HILABS is Hiring a Data Scientist Near Bethesda, MD
The HiLabs Story
HiLabs was born in the halls of Yale University when a cardiologist and an AI expert teamed up to tackle the data quality issue in the US healthcare system. After seven years of working with some of the best data scientists in the world, HiLabs is on the cutting edge of breakthroughs in data science and AI.
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).
- Leveraging AI/ML techniques and solutions to identify and mathematically interpret complex healthcare problems.
- Deploy and optimize machine learning solutions on massive datasets using big data technologies.
- Develop and prototype AI algorithms and software tools.
- Implement enhancements to existing algorithmic/deep learning solutions.
- Conduct quantitative data analysis using a variety of datasets.
- Increase the efficiency and improve the quality of solutions offered.
- Understand business use cases and pull the necessary data from various sources to provide key insights to stakeholders. Build and deploy additional functionalities as per client requirements.
- Leverage recent advances in machine learning technologies and oversee the team’s training.
- For Lead/Sr. Data Scientists-Lead a team of Data Scientists, developers as well as clinicians to strategize, design and evaluate AI based solutions to healthcare problems.
- Bachelor’s Degree/Master’s Degree in Computer Science, Mathematics, Statistics, Physics, Electrical Engineering, Computer Engineering or related fields from tier 1 college.
- Hands-on Software Development Skills (Scala-Preferred).
- Experience or educational courses/projects in Machine Learning, and/or Text Mining Algorithms.
- Knowledge of statistical techniques, linear algebra, numerical optimization.
- Knowledge of ML theory such as bias variance tradeoff, regularization, loss functions and experienced in A/B testing.
- Know all the general best practices of Machine Learning.
- Ability to work closely with Domain experts to develop tools/algorithms needed to answer research questions in their studies.
- Excellent Communication Skills (with the ability to explain developed tools and ML algorithms to a non-technical audience).
- Ability to formulate operational problems in healthcare domain as technical problems that allows for reuse of leading research in the area.
- Proven ability to work independently to learn new technologies, techniques, processes, languages, platforms, systems.
- Strong analytical, inferential, critical thinking, and creative problem-solving skills.
- Self-starter with ability to work both independently and with a team.
- Experience with Deep Learning Frameworks such as Keras, Tensorflow, PyTorch,Mxnet etc.
- Experience with interpretability of deep learning models.
- Big Data Skills (Hadoop, Spark, recent deep learning platforms).
- Experience with text mining tools and techniques including in areas of summarization, search (e.g. ELK Stack), entity extraction, training set generation (e.g. Snorkel) and anomaly detection.
- Expert software development skills including developing and maintaining production quality code
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 the world’s top medical schools, business schools, & engineering institutes.
CCPA disclosure notice - https://www.hilabs.com/privacy
Job Summary
Full Time
IT Outsourcing & Consulting
$119k-146k (estimate)
09/02/2023
05/22/2024
hilabs.com
OLNEY, MD
50 - 100
2014
Private
AMIT GARG
<$5M
IT Outsourcing & Consulting
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About HILABS
HILABS offers a healthcare data mining platform that enables employees within health organizations to explore their data and novel insights.
The job skills required for Data Scientist include Data Science, Machine Learning, Insight, Algorithms, Computer Science, Data Analysis, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Scientist. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Scientist. Select any job title you are interested in and start to search job requirements.
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Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Scientist job description and responsibilities
Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.
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Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.
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A data scientist develops software to structure the raw data.
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Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.
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Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Scientist jobs
Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.
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Data scientists lay a solid foundation to help perform all kinds of analysis.
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Data scientists are also expected to have stronger software engineering skills that data analysts.
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Business analysts are focused on reporting, just like data analysts.
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A data scientist should understand the assumptions that need to be met for each statistical test.
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Step 3: View the best colleges and universities for Data Scientist.
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