You are:
A lover of patterns. Perhaps you grew up putting together 1,000-piece puzzles, finding that tiny detail that gave away the perfect placement. You're on your A-game with the latest tools and methods, from statistics to machine learning. While others were struggling through stats, you were living your best life. You lead the charge to work with business stakeholders to understand their goals and determine how data can be used. What sets you apart? Unlike the rest, you see and apply your work through a human lens. You live to take any data mess from drab to fab and transform it into a story that the average Joe and Jane can understand.
The work:
- Collaborate with key stakeholders to generate and test hypotheses, explore datasets, identify patterns or trends, and apply advanced analytic techniques to produce novel and impactful insights (e.g. NLP, machine learning)
- Develop and collaborate in building ML models and algorithms, specifically predictive models, focusing on integration of multi-modal health data including structured data such as structured EHRs, claims, and unstructured data such as case reports, clinical notes, and others
- Utilize Databricks for large-scale data processing and model training, ensuring efficient data manipulation and transformation
- Collaborate with cross-functional teams to define problem statements, gather requirements, and deliver ML-driven solutions that align with business goals
- Implement and maintain machine learning solutions within Azure cloud environments, ensuring scalability, performance, and security
- Optimize machine learning pipelines for performance and scalability
Here's what you need:
- 3+ years of strong programming skills in SQL, Python
- Extensive experience with machine learning libraries and frameworks
- Familiarity with the deployment of scalable machine learning models in a production environment
- Strong problem-solving skills and ability to work collaboratively in a fast-paced, team environment
- Experience with (AI/ML); predictive modeling and analytics
- Bachelor’s or master’s degree in computer science, biostatistics, health informatics, Engineering, Statistics, or a related field
- US Citizen required, no dual citizens
Bonus points:
Experience with NLP, GenAI models (particularly LLMs), Azure and Databricks
As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Maryland, New York, Washington, and the District of Columbia. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.
Los Angeles County Information Only
If you live in or expect to work from Los Angeles County if hired for this position, please review below for important additional information.
Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed in the job posting, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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