ai scientist 2

data analyst

data analytics analyst

data scientist

Jerry

<div><div><div><b>You could be a data scientist anywhere. Why us?</b></div><ul><li><div>
Join a pre-IPO startup with capital, traction and runway ($240M funded | 60X revenue growth in 5 years | $2T market size)</div></li><li><div>
Partner with our VP of Data Science &amp; Analytics, Armando La Rocca (ex-BCG, Better)</div></li><li><div>
Disrupt a massive market and take us to a $10B business in the next few years</div></li><li><div>
Be immersed in a talent-dense environment and greatly accelerate your career growth</div></li></ul><p></p><p><b>
About the opportunity:</b></p><p>
Jerry is looking for a <b>Data scientist</b> to join our growing team! We hit a huge milestone in early 2024 by achieving profitability and have ambitious goals for the next few years &mdash; scale from 5M to 50M customers and become a $10B business. As a data scientist, you will play a key role in championing data-driven decisions across the company&rsquo;s most critical business initiatives (including carrier growth and development, building new products from 0-1, etc.). As part of the data science &amp; analytics team, you will leverage advanced machine learning models to conduct in-depth analyses and extract insights that will shape our growth strategies.</p><p></p><p>
Jerry is building the first super app to make car ownership affordable and accessible &ndash; insurance, buy/sell, registration, loans, safety, repairs, parking, etc &ndash; a $2T market in the U.S. We started with insurance in 2019, and since then we&rsquo;ve launched loan refinancing, driving insights, repair marketplace, car diagnostics, and a GenAI-powered chatbot &amp; voicebot. We have amassed over 5M customers, raised $240MM in funding, scaled our revenue 60X and our team to 225 across 6 countries.</p><p></p><p><b>
Here's what an ex-BCG teammate has to say about joining Jerry:</b></p><p><i>
&quot;The biggest difference between my current role at Jerry and my past life at BCG is being able to feel the direct impact my work has on the business, every day. In consulting, I rarely felt like my work was having any impact on the world, despite advising the largest global corporations. Here, I can see that my work is moving the needle on key company metrics in a matter of weeks. When I say &quot;key,&quot; I mean it: I am not talking about secondary KPIs that no one pays attention to, but business-critical metrics that the CEO and the rest of the C-suite look at on a daily basis (think sales, retention, pricing, etc).</i></p><p></p><p><i>
The benefit of being a digital-first company is that we are sitting on a treasure trove of data. This means we almost never have to make a decision that's not backed by a robust, statistically significant analysis. While data science can be a support function in some other places (this was something I wanted to avoid), data scientists at Jerry are at the core of the business.</i></p><p></p><p><i>
I have also appreciated the professional growth opportunities. I have had flexibility to work on the skills I wanted to develop, be it technical or soft skills. I have found continuous learning to be one of my most important drivers of happiness at work. Getting the space and latitude to work on projects that I am most interested in was all the more important for this reason.&quot;</i></p><p></p><p><b>
How you will make an impact:</b></p><ul><li><div>
Partner with marketing, product, and business development teams to integrate customer performance insights into user and partner acquisition strategies</div></li><li><div>
Lead the design, execution, and analysis of A/B experiments on new and existing features, extracting key insights to inform product and business strategies</div></li><li><div>
Define, understand, and test levers to drive profitable and scalable user acquisition and partnership growth</div></li><li><div>
Identify opportunities to automate manual processes and optimize operational efficiency</div></li></ul><p></p><p><b>
Preferred experience:</b></p><ul><li><div>
Bachelor&rsquo;s degree in a quantitatively or intellectually rigorous discipline</div></li><li><div>
1+ years of experience from a top-tier economic consulting firm (Analysis Group, Cornerstone Research, Charles River Associates preferred) OR 1+ years of management consulting experience from a top firm (McKinsey, Bain, and Boston Consulting Group preferred) OR relevant experience in data science/business analysis</div></li><li><div>
High level of comfort with SQL or Python</div></li></ul><p></p><p><b>
Who you are:</b></p><ul><li><div>
You have a framework for problem solving and live by first principles</div></li><li><div>
You are comfortable communicating with audiences varying from front-line employees to the company&rsquo;s C-suite</div></li><li><div>
You set a very high bar for yourself and for your team, and you are constantly pushing that bar higher in the pursuit of excellence</div></li></ul><p><i>
While we appreciate your interest and application, only applicants under consideration will be contacted.</i></p><p></p><p><i>
Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws.
</i></p><p></p><p><i>Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at </i><i>recruiting@jerry.ai</i></p><p></p><p><i>
The successful candidate&rsquo;s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants.
</i></p><p></p><p><i>We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits.</i></p><p></p><p><b>
About Jerry.ai:</b></p><p>
Jerry.ai is America&rsquo;s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets.</p><p></p><p>
Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all.</p><p></p><p>
We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers &mdash; and we&rsquo;re just getting started.</p><p></p><p>
Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing.</p><p></p><p>
Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that&rsquo;s disrupting a massive market.</p></div></div><p></p>

Data Scientist

Intuit

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><div>
Intuit is looking for innovative and hands-on <b>Senior Staff AI Scientist</b> to join the Intuit AI team.</div><div></div><div><br>
Come join our collaborative and creative group of AI scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches.</div><p><b><br>
Responsibilities</b></p><ul><li>
Practices leadership and communication skills to influence teams and to evangelize AI science across the organization</li><li>
Collaborates with stakeholders to define success criteria and align model metrics with business goals. Works side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products</li><li>
Leads technical work of a scrum team: initiating and designing model solutions, driving end-to-end architecture designs of the team&rsquo;s work, and holding the team accountable for high quality code, git, design, costs and implementation standards</li><li>
Performs hands-on data analysis and modeling with large data sets, including discovering data sources, getting data access, cleaning up data, and making them &ldquo;model-ready&rdquo;. You need to be willing and able to do your own ETL and design/build featurization.</li><li>
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.</li><li>
Runs A/B tests to draw conclusions on the impact of your team&rsquo;s work and communicates results to peers and leaders</li><li>
Communicates with partners to ensure successful delivery and integration of DS solutions.</li><li>
Proactively researches, explores, and enables new ML technologies. Keeps up with the new developments in academia and industry and considers possible extensions to solve Intuit customer problems.</li></ul><p><b><br>
Qualifications</b></p><ul><li>
6+ years of industry experience with AI science</li><li>
BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent</li><li>
4+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian, Reinforcement or Deep Learning.</li><li>
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization.</li><li>
Proficient in NLP techniques, Explainable AI, and ML frameworks.</li><li>
Expertise in modern advanced analytical tools and programming languages such as Python, Scala, Java and/or R.</li><li>
Efficient in SQL, Hive, SparkSQL, etc.</li><li>
Comfortable working in a Linux environment</li><li>
Experience with building end-to-end reusable pipelines from data acquisition to model output delivery</li><li>
Quick learner, adaptable, with the ability to work independently in a fast-paced environment</li><li>
Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users</li></ul><p><br>
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:</p></div><p></p>

Senior Staff AI Scientist

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><div>
Intuit is looking for an innovative and hands-on <b>Staff AI Scientist</b> to join the Intuit AI team.</div><div></div><div><br>
Come join our collaborative and creative group of AI scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches.</div><p><b><br>
Responsibilities</b></p><ul><li>
Practices leadership and communication skills to influence teams and to evangelize AI science across the organization</li><li>
Collaborates with stakeholders to define success criteria and align model metrics with business goals. Works side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products</li><li>
Leads technical work of a scrum team: initiating and designing model solutions, driving end-to-end architecture designs of the team&rsquo;s work, and holding the team accountable for high quality code, git, design, costs and implementation standards</li><li>
Performs hands-on data analysis and modeling with large data sets, including discovering data sources, getting data access, cleaning up data, and making them &ldquo;model-ready&rdquo;. You need to be willing and able to do your own ETL and design/build featurization.</li><li>
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.</li><li>
Runs A/B tests to draw conclusions on the impact of your team&rsquo;s work and communicates results to peers and leaders</li><li>
Communicates with partners to ensure successful delivery and integration of DS solutions.</li><li>
Proactively researches, explores, and enables new ML technologies. Keeps up with the new developments in academia and industry and considers possible extensions to solve Intuit customer problems.</li></ul><div></div><p><b><br>
Qualifications</b></p><ul><li>
4+ years of industry experience with AI science</li><li>
BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent</li><li>
4+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian, Reinforcement or Deep Learning.</li><li>
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization.</li><li>
Proficient in NLP techniques, Explainable AI, and ML frameworks.</li><li>
Expertise in modern advanced analytical tools and programming languages such as Python, Scala, Java and/or R.</li><li>
Efficient in SQL, Hive, SparkSQL, etc.</li><li>
Comfortable working in a Linux environment</li><li>
Experience with building end-to-end reusable pipelines from data acquisition to model output delivery</li><li>
Quick learner, adaptable, with the ability to work independently in a fast-paced environment</li><li>
Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users</li></ul><p><br>
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:</p></div><p></p>

Staff AI Scientist

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><div>
We are seeking an AI Scientist to work with our collaborative and creative group of scientists and engineers to design and implement the next generation AI and machine learning systems that will power our omnichannel marketing platform. In this role, you will develop and deploy modern machine learning and AI models directly in our core product to address key customer challenges. We are looking for someone passionate about the full model development lifecycle, eager to collaborate with product managers to shape innovative AI product experiences, and driven to make a significant impact on our customers.</div><p><b><br>
Responsibilities</b></p><ul><li>
Explore, develop, and deploy machine learning models, contributing to the end-to-end ML lifecycle in partnership with machine learning engineers and guided by senior scientists.</li><li>
Apply various machine learning techniques (supervised, unsupervised, reinforcement learning, NLP, GenAI) to improve relevance and personalization algorithms, with an emphasis on understanding and implementing solutions that support broader AI initiatives.</li><li>
Collaborate with product managers, software engineers, and designers in designing experiments and minimum viable products, learning to integrate insights from advanced AI systems.</li><li>
Discover, process, and train on huge data sets.</li><li>
In partnership with product managers and analysts, run regular A/B tests, perform statistical analysis, draw conclusions on the impact of your models, and communicate results to peers and leaders.</li><li>
Research and explore new technology shifts, particularly in generative AI and advanced ML, to understand their potential connection with customer benefits and inform ongoing AI strategy.</li></ul><p><b><br>
Qualifications</b></p><ul><li>
MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.) or equivalent work experience.</li><li>
1+ years of experience in modern AI/ML tools and proficient in Python and typical AI/ML libraries (e.g., TensorFlow, PyTorch, Keras). Familiarity with distributed computing frameworks (e.g., Spark, Ray) is a plus.</li><li>
1+ years of experience in machine learning techniques such as classification, regression, neural networks, large language models, recommender systems, natural language processing, clustering, anomaly detection, and computer vision. Understanding of MLOps principles and practices (e.g., version control, CI/CD for ML models) is a plus.</li><li>
Familiar with the latest trends and applications of generative AI including agentic applications.
</li><li>Efficient in SQL</li><li>
Comfortable in a Linux environment</li><li>
Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences.</li></ul><p><br>
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:</p></div><p></p>

AI Scientist 2

Emory University

<div>Discover Your Career at Emory University:
<div>
Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community.</div>
Description:
<div>
Reporting to the Head of Assessment, the Data Analyst supports data-informed decision-making across Emory Libraries by contributing to strategic projects, data analysis, and reporting efforts. This position assists in collecting, interpreting, and visualizing data to uncover insights, demonstrate impact, and identify areas for improvement. It also helps ensure compliance with university and national data policies, promotes best practices in data management, maintains the Libraries data dictionary, and facilitates internal and external reporting to key stakeholders. Through cross-functional collaboration, the role enhances understanding of community needs and strengthens the library&rsquo;s ability to deliver effective, evidence-based services.</div><div></div><div><br>
KEY RESPONSIBILITIES:
</div><ul><li>Creates and maintains a data dictionary and meta data.
</li><li>Supports efforts to ensure that data standards are developed and maintained.
</li><li>Ensures that the uses of data through reports and queries are accurate.</li><li>
Supports business and system re-engineering and architecture development to define future data needs.
</li><li>Serves as an organizational consultant on matters relating to databases by providing expertise to assist users in meeting their needs.
</li><li>Performs other related duties as required.</li></ul><div>
MINIMUM QUALIFICATIONS:
</div><ul><li>A bachelor's degree and one year of experience in data analysis, statistics, or a related field, OR an equivalent combination of education, training, and experience.</li></ul><p>
Library Required Qualifications:</p><p></p><p><i><br>
These qualifications are required by the library in addition to the minimum required qualifications of the University listed above.</i></p><ul><li>
Strong attention to detail and accuracy and commitment to ethical data practices</li><li>
Strong problem-solving and critical thinking abilities</li><li>
Ability to work collaboratively and respectfully as part of a team and effectively present data insights to diverse audiences</li><li>
Experience in data collection, cleaning, analysis, interpretation, visualization and reporting of complex and real-world datasets</li></ul><p>
Preferred Qualifications:</p><ul><li>
 Working knowledge and experience in libraries or non-profit organizations</li><li>
Experience with data visualization tools (e.g., Excel, Tableau, Power BI)
</li><li>Knowledge of statistical analysis and modeling (e.g., SPSS)
</li><li>Proficiency in programming languages (e.g., Python, R, SQL)</li></ul><div>
**Please view full job description at https://libraries.emory.edu/about/employment-emory-libraries. **</div><div></div><div><br>
NOTE: Position tasks are generally required to be performed in-person at an Emory University location. Remote work from home day options may be granted at department discretion. Emory reserves the right to change remote work status with notice to employee.</div>
Additional Details:
<div>
Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD).</div><div><br>
Emory University is committed to providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to request a reasonable accommodation, please contact the Department of Accessibility Services at 404-727-9877 (V) | 404-712-2049 (TDD). Please note that one week's advance notice is preferred.</div></div>

Data Analyst

Southern Company

<div><p><b>Data Analytics</b></p>
<p><b>Analyst, Data Analytics I, II, Sr.</b></p>
<p><b>JOB SUMMARY</b></p>
<p><b>This role supports the Supply Chain Management organization by assisting with the collection, organization, maintenance, and analysis of data across various supply chain functions, including procurement, logistics, inventory, and supplier performance. The analyst will help ensure data accuracy and consistency across systems, contribute to the development of reports and dashboards, and support decision-making through data analysis. This position offers the opportunity to build foundational skills in data governance, reporting, and cross-functional collaboration, while gaining exposure to key supply chain processes and technologies.</b></p>
<p><b>JOB REQUIREMENTS</b></p>
<p><b>Education</b></p>
<ul><li>Bachelor&rsquo;s degree in supply chain management, Business, Computer Science, Business Analytics, other relevant analytical field or equivalent work experience preferred
</li><li>Advanced degree is a plus
</li></ul><p><b>Experience</b></p>
<ul><li>2-5 years of experience in data analytics, with exposure to machine learning concepts
</li><li>Strong analytic skills with demonstrated work experience in data mining, coding, and other analytical concepts
</li><li>Experience in demand forecasting techniques, &amp; interactive data visualization development to effectively communicate performance variables, market drivers and impact on the business
</li><li>Advanced knowledge in MS Excel and applications within MS Office Suite
</li><li>Coding/Programming and analytical proficiency in SQL
</li><li>Experience coding/Programming in R and/or Python, and SAS is a plus
</li><li>Advanced data visualization proficiency in PowerBI and/or Tableau
</li><li>Experience working with Alteryx or similar workflow management tools is a plus
</li><li>Experience working cross-functionally in a highly matrixed organization
</li><li>Advanced presentation skill, as well as effective verbal and written communication of complex analytical concepts
</li><li>Supply Chain Management knowledge/experience a plus
</li></ul><p><b>Knowledge and Skills</b></p>
<ul><li>High level of ownership and self-motivation to deliver high quality outcomes
</li><li>Proficient in financial analysis, internal enterprise analysis, marketplace analysis, and benchmarking
</li><li>Skilled in extracting, mining, and interpreting data from internal and external systems
</li><li>Capable of translating complex datasets into actionable insights to support decision-making
</li><li>Experience contributing to strategy development and execution
</li><li>Strong organizational skills with the ability to manage multiple priorities and meet tight deadlines
</li><li>Supportive role in project planning and cross-functional initiatives
</li><li>Able to present analytical findings clearly to technical and non-technical audiences
</li><li>Strong interpersonal skills for engaging with internal and external stakeholders
</li><li>Possess at least intermediate level of skills in Strategy Development, Strategy Execution, Project Management, Relationship Building and Influencing, Communication, Presentation, Team Building, Cultural Awareness, Change Management, and Process Improvement
</li></ul><p><b>KEY JOB RESPONSIBILITIES</b></p>
<ul><li>Assist in developing and refining statistical and analytical models using structured and unstructured supply chain data to support business decisions across Supply Chain Management
</li><li>Provide analytical support to category teams by preparing relevant datasets and contributing to cost optimization efforts
</li><li>Help design and manage datasets for use in reporting, trend analysis, and data mining
</li><li>Identify and consolidate data sources across the organization to improve efficiency and reduce redundancy
</li><li>Collaborate with category leads to understand business needs, risks, and opportunities within key spend areas
</li><li>Support the creation and distribution of reports that include competitive analysis and industry benchmarks and best practices
</li><li>Contribute to process improvement initiatives by providing data-driven insights and recommendations
</li><li>Promote a culture of safety by supporting Safety-First initiatives within the team
</li><li>Be a change agent using data support recommendations for process improvement and standardization
</li></ul><p><b>Travel Requirements</b></p>
<p>This position can require some travel &ndash; approximately 25% per year</p>
<p><b>BEHAVIORAL ATTRIBUTES</b></p>
<ul><li>Demonstrate Southern Company Values &ndash; Safety First, Intentional Inclusion, Act with Integrity, Superior Performance
</li><li>Safety focus and a strong personal safety record
</li></ul><p><b>About Southern Company</b></p>
<p>Southern Company (NYSE: SO ) is a leading energy provider serving 9 million customers across the Southeast and beyond through its family of companies. Providing clean, safe, reliable and affordable energy with excellent service is our mission. The company has electric operating companies in three states, natural gas distribution companies in four states, a competitive generation company, a leading distributed energy solutions provider with national capabilities, a fiber optics network and telecommunications services. Through an industry-leading commitment to innovation, resilience and sustainability, we are taking action to meet customers' and communities' needs while advancing our goal of net-zero greenhouse gas emissions by 2050. Our uncompromising values ensure we put the needs of those we serve at the center of everything we do and are the key to our sustained success. We are transforming energy into economic, environmental and social progress for tomorrow. Our corporate culture has been recognized by a variety of organizations, earning the company awards and recognitions that reflect Our Values and dedication to service. To learn more, visit www.southerncompany.com .</p>
<p>Southern Company invests in the well-being of its employees and their families through a comprehensive total rewards strategy that includes competitive base salary, annual incentive awards for eligible employees and health, welfare and retirement benefits designed to support physical, financial, and emotional/social well-being. This position may also be eligible for additional compensation, such as an incentive program, with the amount of any bonus/awards subject to the terms and conditions of the applicable incentive plan(s). A summary of the benefits offered for this position can be found here https://seo.nlx.org/southernco/pdf/SOCO-Benefits.pdf . Additional and specific details about total compensation and bene&#64257;ts will also be provided during the hiring process.</p>
<p>Southern Company is an equal opportunity employer where an applicant's qualifications are considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or any other basis prohibited by law.</p>
<p>Job Identification: 15235</p>
<p>Job Category: Data Analytics</p>
<p>Job Schedule: Full time</p>
<p>Company: Southern Company Services</p></div><p></p>

Data Analytics Analyst

U.S. Bank

<p></p><div><p>At U.S. Bank, we&rsquo;re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at&mdash;all from Day One.</p><p></p><h2 class="jobSectionHeader"><b>
Job Description</b></h2><p>
We are seeking a highly skilled and analytical Workforce Capacity Predictive Modeling Analyst to join our team. This role is responsible for developing and optimizing predictive models that support workforce planning and capacity forecasting. The ideal candidate will have strong technical expertise, a strategic mindset, and the ability to communicate complex data insights to non-technical stakeholders.</p><p></p><p><b>
Responsibilities</b>:</p><ul><li><p>
Design and build predictive models to support workforce capacity planning.</p></li><li><p>
Apply machine learning techniques and statistical modeling to forecast workforce needs.</p></li><li><p>
Conduct scenario planning and simulations to evaluate potential outcomes.</p></li><li><p>
Perform data preprocessing and feature engineering to enhance model performance.</p></li><li><p>
Optimize models for accuracy, scalability, and performance.</p></li><li><p>
Present technical findings and insights to business stakeholders in a clear and actionable manner.</p></li><li><p>
Collaborate with team and stakeholders to align modeling efforts with business strategy.</p></li><li><p>
Translate complex analytical concepts into business-friendly language.</p></li><li><p>
Create reports and visualizations using Excel and PowerPoint to support decision-making.</p></li></ul><p></p><p><b>
Required Skills/Experience</b>:</p><ul><li><p>
Bachelor's degree in a related field, or equivalent work experience</p></li><li><p>
Four to five years of statistical and/or data analytics experience</p></li><li><p>
Advanced programming experience in Python, R, or similar languages</p></li><li><p>
Proficiency in machine learning and predictive algorithms</p></li><li><p>
Strong background in statistical modeling and validation</p></li><li><p>
Experience with Excel and PowerPoint for reporting and presentation</p></li><li><p>
Excellent communication skills, with the ability to translate complex models into business insights</p></li><li><p>
Strong problem-solving abilities with a mathematical mindset</p></li><li><p>
Demonstrates curiosity and a commitment to continuous learning</p></li><li><p>
Proven ability to build predictive models from scratch.</p></li><li><p>
Experience in model optimization and performance tuning.</p></li><li><p>
Skilled in scenario planning and simulation techniques.</p></li><li><p>
Expertise in data preprocessing and feature engineering.</p></li><li><p>
Ability to present technical findings to non-technical audiences.</p></li><li><p>
Experience managing stakeholders at the AVP level.</p></li></ul><p></p><p><b>
Preferred skill/experience</b>:</p><ul><li><p>
Basic Power BI knowledge and experience</p></li><li><p>
Workforce/capacity planning domain knowledge</p></li><li><p>
Experience with cloud platforms such as AWS and Azure</p></li><li><p>
Understanding of business strategy</p></li></ul><p></p><p><b>
Location Expectations</b></p><p><b>
The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.</b></p><p></p><p><b>
Location Requirement: Candidates must reside in or near Atlanta, GA, Gresham, OR, Cincinnati, OH , or Saint Paul, MN.</b></p><p></p><p>
If there&rsquo;s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.
</p><p></p><p><b>Benefits:</b></p><p>
Our approach to benefits and total rewards considers our team members&rsquo; whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours):</p><ul><li><p>
Healthcare (medical, dental, vision)</p></li><li><p>
Basic term and optional term life insurance</p></li><li><p>
Short-term and long-term disability</p></li><li><p>
Pregnancy disability and parental leave</p></li><li><p>
401(k) and employer-funded retirement plan</p></li><li><p>
Paid vacation (from two to five weeks depending on salary grade and tenure)</p></li><li><p>
Up to 11 paid holiday opportunities</p></li><li><p>
Adoption assistance</p></li><li><p>
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law</p></li></ul><p></p><p>
U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.</p><p></p><p><b>
E-Verify</b></p><p>
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services.</p><p></p>
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $86,360.00 - $101,600.00<p></p><p>
U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.</p><p></p><p>
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.</p><p></p><p><b>
Posting may be closed earlier due to high volume of applicants.</b></p></div>

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