About RIT Solutions
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Industry
Recruiting and staffing services
Company size
201 - 500 Employees
Headquarters location
Arlington, VA, US
Job description
TITLE: Sr. Data Scientist
MUST HAVES:
DURATION: 12 months
LOCATION: Los Angeles based candidates who can work a hybrid work schedule OR PST, MST or CST remote candidates who can work PST hours.
Interview:- remote
QUESTIONS THAT NEED TO BE ANSWERED BY CANDIDATE: Submission summaries need to address the "Must Haves” and "Nice To Have”
JOB DESCRIPTION:
Job Accountability
MUST HAVES:
- Bachelor's Degree computer science, artificial intelligence, informatics or closely related field
- 5+ years as a Senior Data Scientist
- 5+ years of Healthcare industry experience
- Recent experience in designing, developing, and implementing, artificial intelligence algorithms, and build scalable production systems focused on clinical and research outcomes.
- Ok with working PST hours
DURATION: 12 months
LOCATION: Los Angeles based candidates who can work a hybrid work schedule OR PST, MST or CST remote candidates who can work PST hours.
Interview:- remote
QUESTIONS THAT NEED TO BE ANSWERED BY CANDIDATE: Submission summaries need to address the "Must Haves” and "Nice To Have”
JOB DESCRIPTION:
- The Data Scientist to derive insights from the vast amounts of patient and environmental data available within our data warehouse. To achieve this goal, Client and creative machine learning and statistical analyses are needed.
- The incumbent will work closely with healthcare researcher teams to design analysis specifications, including input data specifications, data cleaning, algorithms, and interpretation of results.
- The incumbent will develop and implement algorithms on existing data warehouse records and may nominate new external data sources to be ingested to the data warehouse to strengthen analyses.
- Analyses will address a wide variety of clinical and research outcomes.
- The incumbent will research and implement state-of[1]the-art AI algorithms, apply off-the-shelf AI and data-centric tools, and collect, store, and maintain data.
- The successful candidate will have demonstrated competence in developing highly scalable artificial intelligence systems with multiple dependencies across teams.
Job Accountability
- Develop, test, and install new software applications, and enhances functionality of existing applications, for artificial intelligence and machine learning
- Design, develop, and implement artificial intelligence algorithms, and build scalable production systems focused on clinical and research outcomes
- Identify creative uses of artificial intelligence and potential artificial intelligence innovations in health care research
- Collaborate with a team of programmers and informatics experts to address emerging client needs
- Collect and manage new datasets with bearing on artificial intelligence analyses of healthcare data
- Create new experimental frameworks to collect data, build tools to automate data collection
- Correlate similar data to find actionable results and search through large data sets for usable information
- Create reports and presentations on analysis results
- Remain current on trends in informatics, machine learning, and artificial intelligence for healthcare
- Other duties as assigned
- Bachelor's Degree computer science, artificial intelligence, informatics or closely related field
- Masters preferred
ritsolinc.com
Frequently asked questions
Q: What skills or qualities help someone succeed as a Senior Data Scientist?
A: To succeed as a Senior Data Scientist, key technical skills include expertise in machine learning algorithms, statistical modeling, and programming languages such as Python or R, as well as proficiency in data visualization tools like Tableau or Power BI. Additionally, strong soft skills like effective communication, collaboration, and leadership abilities are crucial for guiding cross-functional teams and presenting complex data insights to stakeholders. By combining technical expertise with strong interpersonal skills, Senior Data Scientists can drive business growth, inform strategic decisions, and advance their careers through leadership opportunities and industry recognition.
Q: What is the career path for a Senior Data Scientist?
A: A Senior Data Scientist's typical career progression involves starting as a Data Analyst or Junior Data Scientist, progressing to a Data Scientist or Senior Data Analyst role, and eventually becoming a Senior Data Scientist or Lead Data Scientist. Key opportunities for skill development and growth include mastering advanced machine learning techniques, deep learning, and programming languages such as Python and R, as well as developing expertise in data visualization, statistical modeling, and data engineering. Long-term career prospects for Senior Data Scientists may include transitioning into leadership roles, such as Director of Data Science or Chief Data Officer, or pursuing specialized roles like Data Product Manager or AI/ML Engineer.
