104 Predictive Modeling jobs in Atlanta
Advanced Analytics Analyst Senior - Predictive Modeling
Posted 12 days ago
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Job Description
**Location:** Nashville, TN; Atlanta, GA; Norfolk, VA; Indianapolis, IN; Cincinnati, OH; Grand Prairie, TX (preferred). This role requires associates to be in-office 1 - 2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered if candidates reside within a commuting distance from an office.
Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law.
_PLEASE NOTE: This position is not eligible for current or future visa sponsorship._
The **Advanced Analytics Analyst Senior** creates statistical models to predict, classify, quantify, and/or forecast business metrics. Design modeling studies to address specific business issues determined by consultation with business partners.
**How you will make an impact:**
+ Prepares analytical data sets in support of modeling studies. Build, test, and validate statistical models.
+ Publishes results and addresses constraints/limitations with high-level business partners.
+ Proactively collaborates with business partners to determine identified population segments.
+ Develop actionable plans to enable the identification of patterns related to quality, use, cost, and other variables.
**Minimum Requirements:**
+ Requires MS, MA, or PhD with concentration in a quantitative discipline such as statistics, computer science, cognitive science, economics, or operations research, a minimum of 3 years direct experience programming large, multi-source datasets with SAS required, and a minimum of 3 years in health care setting; or any combination of education and experience which would provide an equivalent background.
**Preferred Skills, Capabilities, and Experiences:**
+ The ability to present meaningful results to a business audience, to participate collaboratively in a team tasked to produce complex analyses on a rigorous schedule, to communicate with strong written and verbal communication skills, and to present to large multi-disciplinary audiences regularly strongly preferred.
+ Substantial analytical experience in the healthcare industry preferred.
+ Advanced SQL & SAS skills.
+ Oracle Exadata experience preferred.
+ Experience analyzing data related to social and behavioral health factors/social determinants of health strongly preferred.
+ Additional skills for success are Python, Informatica, Tableau, and/or Power BI.
Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of Elevance Health.
Who We Are
Elevance Health is a health company dedicated to improving lives and communities - and making healthcare simpler. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve.
How We Work
At Elevance Health, we are creating a culture that is designed to advance our strategy but will also lead to personal and professional growth for our associates. Our values and behaviors are the root of our culture. They are how we achieve our strategy, power our business outcomes and drive our shared success - for our consumers, our associates, our communities and our business.
We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few.
Elevance Health operates in a Hybrid Workforce Strategy. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process.
The health of our associates and communities is a top priority for Elevance Health. We require all new candidates in certain patient/member-facing roles to become vaccinated against COVID-19 and Influenza. If you are not vaccinated, your offer will be rescinded unless you provide an acceptable explanation. Elevance Health will also follow all relevant federal, state and local laws.
Elevance Health is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws. Applicants who require accommodation to participate in the job application process may contact for assistance.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.
Data Science Lead - AI & Machine Learning
Posted 9 days ago
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Job Description
Key Responsibilities:
- Lead and mentor a high-performing team of data scientists and ML engineers.
- Define the roadmap and strategic vision for AI and Machine Learning initiatives.
- Identify business challenges and opportunities where AI/ML solutions can provide significant impact.
- Design, develop, and implement advanced machine learning models and algorithms (e.g., supervised, unsupervised, deep learning).
- Oversee the entire ML lifecycle, from data collection and preprocessing to model training, evaluation, and deployment.
- Collaborate with engineering and product teams to integrate AI/ML models into production systems.
- Conduct rigorous data analysis, feature engineering, and model validation.
- Stay abreast of the latest advancements in AI, ML, and data science, and explore their potential applications.
- Communicate complex technical findings and recommendations clearly to both technical and non-technical stakeholders.
- Ensure the ethical and responsible development and deployment of AI systems.
- Foster a culture of innovation, collaboration, and continuous learning within the data science team.
- Manage project timelines, resources, and deliverables effectively.
- Contribute to the development of robust data infrastructure and pipelines.
- Evaluate and select appropriate tools and technologies for data science and ML projects.
Qualifications:
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 7+ years of experience in data science and machine learning, with at least 3 years in a leadership or management role.
- Proven expertise in building and deploying production-level AI/ML models.
- Proficiency in programming languages such as Python or R, and experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong understanding of statistical modeling, experimental design, and data mining techniques.
- Experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP).
- Excellent leadership, mentoring, and team-building skills.
- Exceptional problem-solving and analytical capabilities.
- Strong communication and presentation skills, with the ability to convey complex information effectively.
- Experience in natural language processing (NLP) or computer vision is a plus.
- Demonstrated ability to translate business needs into data science solutions.
Data Science Bootcamp
Posted 1 day ago
Job Viewed
Job Description
Harness the power of data science to solve the world’s most challenging problems by developing your skills in predictive modeling, pattern recognition, data visualization, wrangling massive data sets, forecasting trends, and informing strategy across diverse industries like public policy, robotics, and FinTech.
Get the tech skills, career coaching and networking opportunities to become job ready for a career in Data Science, in as little as three months, with little or no previous experience.
Preferred candidates - Actuary, finance, consulting, research, teacher, statistics.
Data Science Bootcamp
Posted 1 day ago
Job Viewed
Job Description
Harness the power of data science to solve the world’s most challenging problems by developing your skills in predictive modeling, pattern recognition, data visualization, wrangling massive data sets, forecasting trends, and informing strategy across diverse industries like public policy, robotics, and FinTech.
Get the tech skills, career coaching and networking opportunities to become job ready for a career in Data Science, in as little as three months, with little or no previous experience.
Preferred candidates - Actuary, finance, consulting, research, teacher, statistics.
Data Science Bootcamp
Posted 1 day ago
Job Viewed
Job Description
Harness the power of data science to solve the world’s most challenging problems by developing your skills in predictive modeling, pattern recognition, data visualization, wrangling massive data sets, forecasting trends, and informing strategy across diverse industries like public policy, robotics, and FinTech.
Get the tech skills, career coaching and networking opportunities to become job ready for a career in Data Science, in as little as three months, with little or no previous experience.
Preferred candidates - Actuary, finance, consulting, research, teacher, statistics.
Data Science Bootcamp
Posted 1 day ago
Job Viewed
Job Description
Harness the power of data science to solve the world’s most challenging problems by developing your skills in predictive modeling, pattern recognition, data visualization, wrangling massive data sets, forecasting trends, and informing strategy across diverse industries like public policy, robotics, and FinTech.
Get the tech skills, career coaching and networking opportunities to become job ready for a career in Data Science, in as little as three months, with little or no previous experience.
Preferred candidates - Actuary, finance, consulting, research, teacher, statistics.
Data Science Short-course
Posted 1 day ago
Job Viewed
Job Description
Create robust predictive models with statistics and Python programming. Build confidence and credibility to tackle complex machine learning problems on the job. This course is offered in person and live online, in a remote classroom setting.
Get the tech skills needed to advance your career in data science, with a flexible work/study program, in as little as ten weeks, with live online instructors who are experts in their field.
Preferred candidates - Actuary, finance, consulting, research, teacher, statistics.
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Data Science Short-course
Posted 1 day ago
Job Viewed
Job Description
Create robust predictive models with statistics and Python programming. Build confidence and credibility to tackle complex machine learning problems on the job. This course is offered in person and live online, in a remote classroom setting.
Get the tech skills needed to advance your career in data science, with a flexible work/study program, in as little as ten weeks, with live online instructors who are experts in their field.
Preferred candidates - Actuary, finance, consulting, research, teacher, statistics.
Data Science Short-course
Posted 1 day ago
Job Viewed
Job Description
Create robust predictive models with statistics and Python programming. Build confidence and credibility to tackle complex machine learning problems on the job. This course is offered in person and live online, in a remote classroom setting.
Get the tech skills needed to advance your career in data science, with a flexible work/study program, in as little as ten weeks, with live online instructors who are experts in their field.
Preferred candidates - Actuary, finance, consulting, research, teacher, statistics.