Data Scientist jobs in Lafayette, LA

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. Datavant is looking for an enthusiastic and meticulous Data Scientist (Privacy) to join our growing team, which interrogates and assesses client information in terms of the re-identification risk to patients. As part of the Privacy Science team within Privacy Hub you will play a crucial role in ensuring that privacy of patients is safeguarded in the modern world of data sharing. As well as working on real data, you will be involved in exciting research to keep us as industry leaders in this area, and stimulating discussions on re-identification risk. You will be supported in developing/consolidating data analysis and coding skills to become proficient in the analysis of large health-related datasets. **You Will:** + Critically analyse large health datasets using standard and bespoke software libraries + Discuss your findings and progress with internal and external stakeholders + Produce high quality reports which summarise your findings + Contribute to research activities as we explore novel and established sources of re-identification risk **What You Will Bring to the Table:** + Excellent communication skills. Meticulous attention to detail in the production of comprehensive, well-presented reports + A good understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods + Seeks to understand real-world data in context rather than consider it in abstraction. + Familiarity or proficiency with programmable data analysis software R or Python, and the desire to develop expertise in its language + Application of scientific methods to practical problems through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions + Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines + Initiative and ability to independently explore and research novel topics and concepts as they arise, to expand Privacy Hub's knowledge base + An appreciation of the need for effective methods in data privacy and security, and an awareness of the relevant legislation + Familiarity with Amazon Web Services cloud-based storage and computing facilities + Bonus: Experience of creating documents using LATEX + Bonus: Detailed knowledge of one or more types of health information, e.g., genomics, disease, health images \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please contact us at *********************** . We will review your request for reasonable accommodation on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Data Scientist Responsibilities: 1. Utilize advanced knowledge of quantitative analysis, management science, data mining, mathematics, Hadoop/Hive, SQL, Excel, and presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products. 2. Identify actionable insights, suggest recommendations and influence the direction of Security strategy by effectively communicating results to cross functional groups, including Security strategy leadership. 3. Leverage data and mathematical principles to provide insights about user behavior, inform business decisions based on data mining and large, complex data sets, and solve large scale data infrastructure problems. 4. Predict and understand user patterns through metric analysis. 5. Work cross functionally to define problem statements, collect data, build analytical models and make recommendations. 6. Develop mathematical models and perform data analysis to drive insights to improve Meta's operations. 7. Partner with Product and Engineering teams to solve problems and identify trends and opportunities. 8. Build and analyze dashboards, reports and key data sets to empower operations and exploratory analysis. 9. Automate analyses and author data pipelines via SQL and Python based ETL framework. 10. Develop strong business partnerships with Security strategy leadership by translating strategic questions into structured analyses, defining success metrics, and developing reporting channels. 11. Assist in designing hypothesis testing experiments, analyze data collected, and present results. 12. Conduct ad hoc data analysis based on current team needs. 13. Complete root cause analysis of different workflows in order to quantify problems, operationalize goals and identify priorities. 14. Answering big picture questions by framing the question, turning it into an analytical plan, executing and communicating to stakeholders. 15. Initiating and driving projects to completion in a high cross-functional environment. 16. Telecommute from anywhere in the US permitted. **Minimum Qualifications:** Minimum Qualifications: 17. Requires a Master's degree (or foreign degree equivalent) in Analytics, Operations Research, Statistics, Computer Science, Computer Engineering, Applied Sciences, Mathematics, or related field, and 5 years of experience in job offered or in an analyst-related occupation. 18. Requires 60 months of experience in each of the following: 19. 1. Solving analytical problems and building models using quantitative, statistical or machine learning approaches 20. 2. Machine Learning, Statistics, or other data analysis tools and techniques 21. 3. Performing data extraction, cleaning, analysis and presentation for medium to large datasets 22. 4. At least one programming language: Python, R, Java, or C++ 23. 5. Writing SQL queries 24. 6. Scientific computing and analysis packages: NumPy, SciPy, Pandas, Scikit-learn, dplyr, or ggplot2 25. 7. Statistics methods: inferential, forecasting, time series, hypothesis testing, clustering and regression analysis 26. 8. Data visualization libraries: Matplotlib, Pyplot, or ggplot2 27. 9. Working with distributed computing tools: Hadoop, Hive, or Spark 28. and 10. Applied statistics or experimentation, such as A/B testing. **Public Compensation:** $217,553/year to $235,400/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

GovCIO is currently hiring foran ETL Engineer (or Data Scientist) to join our ETL Team focusedon designing, developing, and maintaining robust ETL pipelines and data infrastructure within AWS GovCloud environments. This position will be located in Hanover, MD and will be a fully remote position. **Responsibilities** Design, develop, and maintain robust ETL pipelines and data infrastructure within AWS GovCloud environments. You will work closely with cross-functional teams to ensure that data from a variety of sources is efficiently processed, analyzed, and visualized to monitor and optimize system performance. You will use a combination of AWS native services and open-source software to create scalable and high-performance data pipelines, manage complex data flows, and contribute to operational monitoring efforts across a large AWS environment. Data Pipeline Development: + Design and implement Extract, Transform, Load (ETL) solutions to move, process, and store data from a wide range of sources, including AWS S3, CloudWatch, EventBridge, and other cloud-based services. + Leverage AWS services such as Lambda, Kinesis, and Data Prepper to create data pipelines that span multiple AWS accounts. + Use AWS CloudFormation to deploy and manage data pipeline infrastructure in an Infrastructure-as-Code (IaC) environment. + Deploy and manage CloudWatch alarms and synthetic canaries to ensure system health and proactively detect issues before they impact users. Log Aggregation & Metrics Collection: + Deploy and configure Fluent-bit agents to collect system and application logs from hundreds of critical systems. + Develop custom Lua functions and regex parsers for transforming and routing logs as required. Data Analysis, Visualization & Alerting: + Design and build data visualizations, dashboards, and alerts to monitor and detect anomalous system activity. + Design, implement, and maintain AWS CloudWatch alarms to monitor the health and performance of cloud applications, infrastructure, and services. + Configure notifications for alerts using Amazon SNS, and integrate with communication tools (e.g., Slack, email) to ensure timely awareness of critical issues. + Develop custom visualizations using Vega, create alerts using Query DSL and Painless scripting, and produce reports via OpenSearch SQL. Cluster Management & Data Storage: + Manage and maintain an OpenSearch cluster to support large-scale data ingestion and querying. + Implement explicit mappings for fields being ingested into OpenSearch and manage index state management policies for optimal performance. + Use Active Directory Federated Services to implement access control and multi-tenancy within the OpenSearch environment. Application Performance Monitoring: + Instrument diverse applications using OpenTelemetry for OpenSearch APM to ensure visibility into application performance. **Qualifications** HS Diploma with 9+ years' experience/professional Required Skills and Experience + Clearance required: Top Secret + Must have IAT level II/III certification (i.e., CompTIA Security+(CE)) + Must have experience and certifications in Linux and/or AWS GovCloud technologies Preferred Skills and Experience + Strong experience with AWS services such as Lambda, Kinesis, CloudWatch, S3, EventBridge, and CloudFormation. + Proficiency in Python for developing and maintaining data pipelines. + Experience managing distributed NoSQL databases such OpenSearch, Elasticsearch, MongoDB or Splunk. + Experience deploying and configuring agents for log aggregation and system monitoring. + Knowledge of Infrastructure-as-Code (IaC) principles, particularly with AWS CloudFormation. + Effective written and oral communication skills + Certification(s) in relevant technologies \#NSS \#DL \#NSS \#AR **Company Overview** GovCIO is a team of transformers--people who are passionate about transforming government IT. Every day, we make a positive impact by delivering innovative IT services and solutions that improve how government agencies operate and serve our citizens. But we can't do it alone. We need great people to help us do great things - for our customers, our culture, and our ability to attract other great people. We are changing the face of government IT and building a workforce that fuels this mission. Are you ready to be a transformer? **What You Can Expect** **Interview & Hiring Process** If you are selected to move forward through the process, here's what you canexpect: + During the Interview Process + Virtual video interview conducted via video with the hiring manager and/or team + Camera must be on + A valid photo ID must be presented during each interview + During the Hiring Process + Enhanced Biometrics ID verification screening + Background check, to include: + Criminal history (past 7 years) + Verification of your highest level of education + Verification of your employment history (past 7 years), based on information provided in your application **Employee Perks** At GovCIO, we consistently hear that meaningful work and a collaborative team environment are two of the top reasons our employees enjoy working here. In addition, our employees have access to a range of perks and benefits to support their personal and professional well-being, beyond the standard company offered health benefits, including: + Employee Assistance Program (EAP) + Corporate Discounts + Learning & Development platform, to include certification preparation content + Training, Education and Certification Assistance* + Referral Bonus Program + Internal Mobility Program + Pet Insurance + Flexible Work Environment *Available to full-time employees Our employees' unique talents and contributions are the driving force behind our success in supporting our customers, which ultimately fuels the success of our company. Join us and be a part of a culture that invests in its people and prioritizes continuous enhancement of the employee experience. **We are an Equal Opportunity Employer.** All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, or status as a protected veteran. EOE, including disability/vets. **Posted Pay Range** The posted pay range, if referenced, reflects the range expected for this position at the commencement of employment, however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, education, experience, and internal equity. The total compensation package for this position may also include other compensation elements, to be discussed during the hiring process. If hired, employee will be in an "at-will position" and the GovCIO reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, GovCIO or individual department/team performance, and market factors. **Posted Salary Range** USD $140,000.00 - USD $160,000.00 /Yr. Submit a referral to this job (****************************************************************************************************************************************** **Location** _US-Remote_ **ID** _2025-6237_ **Category** _IT Infrastructure & Network Engineering & Operations_ **Position Type** _Full-Time_

**Our Mission** As the world's number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers. (*Comscore, Total Visits, March 2024) **Day to Day** The Recruit Global Family (RGF) Acceleration organization is looking for a product minded Senior Data Scientist with expertise in driving end-to-end product development spanning from defining business requirements to shipping solutions to the customers. This team's primary focus lies in making the temporary staffing businesses in our sibling companies more efficient, by curating matching solutions between temp jobseekers and temp jobs with ML / AI technologies. This is a unique opportunity to transform traditional and oftentimes quite manual businesses with cutting-edge technologies, which no one else in the world has achieved yet. **Responsibilities** **Leadership & Strategy** : + Represent RGF Acceleration organization as a data science leader in the US, interfacing with various contributors including front-line recruiters at call centers, sibling company executives, product managers and other engineers in our org, and other relevant indeed teams. + Develop and drive the data science strategy for improving matching quality across our organization + Formulate strategies for our temp staffing sibling companies on "data hygiene" to ensure data is "AI ready" for advanced modeling, addressing known deficiencies in temp jobseeker, temp jobs, and interaction data. **Guidance** **on Data Science Excellence** **:** + Provide the teams with data science best practices such as effective modeling approaches, robust training data curation, experimentation, importance of manually inspecting data, etc. + Guide teams in building effective feedback loops for model iteration. **Direct Contribution** : + Directly contribute to projects, including improving matching models. + Understand existing codebases and be capable of implementing necessary code changes autonomously. **Skills/Competencies** + Bachelor's in Computer Science, Mathematics, or related fields + 5+ years of industry experience as a Software Engineer, Data Scientist, or Machine Learning Engineer + Prior success delivering machine learning solutions that had a significant business impact, driving it from end-to-end + Excellent written and verbal communication in English, effective with relevant partners in any functional area spanning from recruiters at call centers to senior executives + Track record of leading a small group of people towards a shared goal + Experience with development of search engines or recommendation systems **Salary Range Transparency** Austin, Metro Area 139,000 - 201,000 USD per year New York City, Metro Area. 147,000 - 213,000 USD per year Seattle, Metro Area 143,000 - 207,000 USD per year San Francisco, Metro Area 155,000 - 225,000 USD per year US Remote 139,000 - 201,000 USD per year **Salary Range Disclaimer** The base salary range represents the low and high end of the Indeed salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits. **Benefits - Health, Work/Life Harmony, & Wellbeing** We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company's 401k plan, as well as an equity-based incentive program. Indeedians will also receive open paid time off, 12 paid holidays a year and up to 26 weeks of paid parental leave. For more information, select your country and learn more about our employee benefits, program, & perks at **************************************** **Equal Opportunities and Accommodations Statement** Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We're proud to be an Equal Employment and Affirmative Action employer seeking to create a welcoming and inclusive environment. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other non-merit based or legally protected grounds. Indeed is dedicated to providing reasonable accommodations to qualified individuals with known disabilities to participate in the employment application process. To learn more about requesting an accommodation, please visit ********************************************** In the request for an accommodation, please inform us of the nature of your request and your contact information. If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview. For more information about our commitment to equal opportunity/affirmative action, please visit our ESG home page (********************************** **Inclusion & Belonging** Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we're committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering an inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity. We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment. Those with military experience are encouraged to apply. Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome. **Indeed's Employee Recruiting Privacy Policy** Like other employers Indeed uses our own technologies to help us find and attract top talent from around the world. In addition to our site's user and privacy policy found at **************************** , we also want to make you aware of our recruitment specific privacy policy found at ****************************/indeed-jobs . **Agency Disclaimer** Indeed does not pay placement fees for unsolicited resumes or referrals from non-candidates, including search firms, staffing agencies, professional recruiters, fee-based referral services, and recruiting agencies (each individually, an "Agency"), subject to local laws. An Agency seeking a placement fee must obtain advance written approval from Indeed's internal Talent Acquisition team and execute a fee agreement with Indeed for each job opening before making a referral or submitting a resume for that opening. **Reference ID:** **46023** **The deadline to apply to this position is July 15, 2025. Job postings may be extended at the hiring team's discretion based on applicant volume.** It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Reference ID: 46023

ExecRecruitment is a global professional services provider and contingency staffing company. Our main objective is to source top talent and support professional growth. One of our direct clients is actively seeking a Data Scientist to join their team. Job Title: Data Scientist Location: Remote Duration: 6 months+ extension Duties: The duties of a Data Scientist include, but are not limited to: Collect, clean, and preprocess data from various sources; Develop and implement predictive models using statistical and machine learning techniques; Analyze and interpret complex data sets to provide insights and support decision-making Create visualizations to communicate results to stakeholders; Collaborate with business stakeholders, IT teams, and other departments to define and prioritize data science projects; Keep up-to-date with new data science technologies and industry trends to identify opportunities for innovation and improvement; Communicate with stakeholders and provide regular updates on project progress and status.

Company: Norstella Employment Type: Full Time **Description** At Norstella, our mission is simple: to help our clients bring life-saving therapies to market quicker-and help patients in need. Founded in 2022, but with history going back to 1939, Norstella unites best-in-class brands to help clients navigate the complexities at each step of the drug development life cycle -and get the right treatments to the right patients at the right time. Each organization (Citeline, Evaluate, MMIT, Panalgo, The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making. Together, via our market-leading brands, we help our clients: + Citeline - accelerate the drug development cycle + Evaluate - bring the right drugs to market + MMIT - identify barrier to patient access + Panalgo - turn data into insight faster + The Dedham Group - think strategically for specialty therapeutics By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. As one of the largest global pharma intelligence solution providers, Norstella has a footprint across the globe with teams of experts delivering world class solutions in the USA, UK, The Netherlands, Japan, China and India. ** :** Norstella Real World Data (RWD) is seeking a skilled NLP Data Scientist with clinical background with a focus on Language Models to join our AI & Life Sciences Solutions team. Your expertise in processing and understanding natural language data, along with your knowledge of Electronic Health Records (EHR) and laboratory reports analysis, will be instrumental in driving our data science initiatives and innovations, particularly in the development of rich multimodal real-world datasets to expedite RWD-driven drug development in pharma. **Responsibilities:** + Employ and leverage NLP and open-source Large Language Models (LLM) such as LLama2, Mixtral, Qwen, BERT, etc., to extract, process, and interpret unstructured medical data from diverse sources like EHRs, medical notes, and laboratory reports. + Collaborate with clinical scientists and data scientists to create efficient NLP models for healthcare, exhibiting an understanding of both the technical and medical aspects of the data. + Conduct data cleaning, preprocessing, and validation to maintain the accuracy and reliability of insights gathered from NLP processes. + Validate and present data findings to stakeholders, exhibiting clear and effective communication skills. **Qualifications:** + Master's or Ph.D. degree in Computational Biology, Computer Science, Data Science, Computational Linguistics, Machine Learning, or a related analytical field. + Deep understanding and direct experience (2+ years) in handling and interpreting either Electronic Health Records (EHR) and laboratory tests results or genetic test results is a must. + Proven experience (2+ years) in NLP with a strong knowledge of NLP techniques such as Named Entity Recognition (NER), text summarization, topic modeling, etc. and their applied use in healthcare. + Expert-level understanding and practical experience (1+ years) with open-source Large Language Models (Llama2/3, Mixtral etc.), e.g., prompt engineering, inference, and fine-tuning. + Proficient in Python and SQL, with strong experience in NLP libraries such as NLTK, spa Cy, Hugging face Transformers, and deep learning libraries such as PyTorch, TensorFlow.Familiarity with common data science and ML practices, e.g., version control systems, agile methodologies, and documentation. + Experience in working with AWS cloud environment and large databases (e.g., AWS redshift). + Experience in managing ML lifecycle using open-source tools (e.g., MLflow).Detail-oriented with strong analytical and problem-solving abilities. + Excellent verbal and written communication skills, with ability to present complex data to non-technical audience. **Preferred Qualifications:** + Experience dealing with protected health information (PHI) and familiarity with healthcare-related data privacy laws such as HIPAA. + Familiarity with standard healthcare codes and terminologies such as ICD-10, CPT, LOINC, and SNOMED CT. + Experience in RAG (Retrieval-Augmented Generation) and vector store in the context of storing large volume of healthcare unstructured documents and querying those. **Benefits:** Medical and prescription drug benefits Health savings accounts or flexible spending accounts Dental plans and vision benefits Basic life and AD&D Benefits 401k retirement plan Short- and Long-Term Disability Paid parental leave Paid time off principles for success at Norstella **01: Bold, Passionate, Mission-First** We have a lofty mission to Smooth Access to Life Saving Therapies and we will get there by being bold and passionate about the mission and our clients. Our clients and the mission in what we are trying to accomplish must be in the forefront of our minds in everything we do. **02: Integrity, Truth, Reality** We make promises that we can keep, and goals that push us to new heights. Our integrity offers us the opportunity to learn and improve by being honest about what works and what doesn't. By being true to the data and producing realistic metrics, we are able to create plans and resources to achieve our goals. **03: Kindness, Empathy, Grace** We will empathize with everyone's situation, provide positive and constructive feedback with kindness, and accept opportunities for improvement with grace and gratitude. We use this principle across the organization to collaborate and build lines of open communication. **04: Resilience, Mettle, Perseverance** We will persevere - even in difficult and challenging situations. Our ability to recover from missteps and failures in a positive way will help us to be successful in our mission. **05: Humility, Gratitude, Learning** We will be true learners by showing humility and gratitude in our work. We recognize that the smartest person in the room is the one who is always listening, learning, and willing to shift their thinking. The expected base salary for this position ranges from $140,000 to $200,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus. _Norstella is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, color, nationality, ethnic or national origin, religion or belief, disability or age. Our ethos is to respect and value people's differences, to help everyone achieve more at work as well as in their personal lives so that they feel proud of the part they play in our success. We believe that all decisions about people at work should be based on the individual's abilities, skills, performance and behavior and our business requirements. Norstella operates a zero-tolerance policy to any form of discrimination, abuse or harassment._ _Sometimes the best opportunities are hidden by self-doubt. We disqualify ourselves before we have the opportunity to be considered. Regardless of where you came from, how you identify, or the path that led you here- you are welcome. If you read this job description and feel passion and excitement, we're just as excited about you._ Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.

**A Day in the Life:** At Hertz, we are at the forefront of innovation, leveraging cutting-edge technologies to build the best damage management technologies in the transportation industry. We want the brightest AI & ML minds to join our Damage Science Team to help us develop and/or maintain capabilities to: + Detect Damage via Machine Vision: Utilize computer vision techniques to accurately detect and assess damage in real-time. + Rationalize Repair Estimates and Invoices with Large Language Models (LLMs): Implement sophisticated LLMs to make intelligent repair routing decisions, ensuring repairs are conducted efficiently and cost-effectively. + Forecast Repair Needs: Develop models to predict future repair & maintenance needs based on historical data and trends. + Automate Quality Assurance: Create models to evaluate the quality of repairs and ensure they meet our high standards. We anticipate the salary to start around 160K; commensurate with experience. What You Will Do: + Formulate the strategic and tactical steps to carry out the model development lifecycle end-to-end (i.e. problem statement definition, exploratory data analysis, feature engineering, model development / tuning, and model implementation). + Build and maintain descriptive, predictive, and prescriptive models to measure the performance of the new products and services. + Cross validating production models to ensure high performance and generalizability + Define and implement best practices to generate accurate analytics, reports, visualizations, and dashboards to explain results simply and succinctly to technical, non-technical, and senior management + Build partnerships and work cross-functionally to identify use cases and opportunities to enhance operational efficiency and drive business value through positive impact on OKRs. + Work with an owner mentality to drive business impact even if that means supporting pipeline creation or decision support analytics. + Serve as a voice on how technological advancements in AI and machine learning may impact our business and the opportunities they may create. + Provide technical leadership to more junior Data Scientist team members. What We are Looking For: + 5-8 years hands-on experience in a data science role + 5+ years of data querying languages (e.g. SQL) and scripting languages (e.g. Python) + 5+ years of end-to-end machine learning model development experience (e.g. problem statement definition, exploratory data analysis, feature engineering, model development / tuning, and deployment) + Demonstrated experience using machine learning to drive a business impact + Strong experience with statistical analysis, statistical modeling, and machine learning techniques + Experience mentoring and supporting development of more junior scientists + Experience in a ML or data scientist role with a technology company + Master's degree in a quantitative field such as statistics, mathematics, data science, economics, or computer science + Preferred PhD in a quantitative field such as statistics, mathematics, data science, economics, or computer science What You'll Get: + Up to 40% off any standard Hertz Rental + Paid Time Off + Medical, Dental & Vision plan options + Retirement programs, including 401(k) employer matching + Paid Parental Leave & Adoption Assistance + Employee Assistance Program for employees & family + Educational Reimbursement & Discounts + Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness + Perks & Discounts -Theme Park Tickets, Gym Discounts & more The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world. **US EEO STATEMENT** At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company. Individuals are encouraged to apply for positions because of the characteristics that make them unique. EOE, including disability/veteran

Description & Requirements We now have an exciting opportunity for a Senior Data Scientist specializing in algorithm architectures to join the Maximus AI Accelerator supporting the enterprise at large. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. Additionally, you will be responsible for supporting the development of new and novel algorithms that ensure the responsible deployment of AI across the enterprise and support the development of data driven decision making methodologies. This role requires strong systems thinking, problem-solving abilities, mathematics, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) Essential Duties and Responsibilities: - Develop, collaborate, and advance the applied and responsible use of AI, ML, mathematics, and data science solutions throughout the organization by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead efforts across the organization to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, Large Language Models (LLMs) and classical machine learning. - Develop mathematically rigorous process improvement procedures. - Maintain advanced, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. What You Will Do: - Develop, collaborate, and advance the applied and responsible use of AI, ML, mathematics, and data science solutions throughout the organization by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead efforts across the organization to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, Large Language Models (LLMs) and classical machine learning. - Develop mathematically rigorous process improvement procedures. - Maintain advanced, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. Minimum Requirements (required skills that align with contract LCAT, verifiable, and measurable): - Professional Programming experience (e.g. Python, R, etc.) - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming - Experience with Linux - Experience with Statistics - Experience with Linear Algebra and Calculus - Experience applying mathematical principles to real world problems - Experience with Machine Learning - Experience working as a contributor on a team Minimum Education requirement: - BS in a quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.) Years of Required Work-Related Experience: - 3+ yrs experience in Artificial Intelligence and Machine Learning - 3+ yrs experience in Software Development - 3+ yrs of Mathematical Modeling Required Certifications: - None Minimum Requirements - Bachelor's degree in relevant field of study and 5+ years of relevant professional experience required, or equivalent combination of education and experience. Preferred Key Skills and Abilities (not contractually required): - Masters in quantitative discipline - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter - Experience working as an individual contributor in AI - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. - Use of a variety of programming languages, including but not limited to Python/Java and frontend frameworks for POC demos and dashboarding - Use and development of program automation, CI/CD, DevSecOps, and Agile - Experience with deep learning model architecture development and philosophy - Cloud certifications (AWS, Azure, or GCP) - 5+ yrs of related experience in AI, advanced analytics, computer science, mathematical modeling, or software development. - Python Experience with TensorFlow, PyTorch, and Pandas EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Minimum Salary $ 123,440.00 Maximum Salary $ 180,000.00

**_What Data Science contributes to Cardinal Health_** The Data and Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. **_Department/Team Overview_** We are looking for a Data Scientist, Operations Research Analyst to join our Decision Science Solutions (DS2) team. Our mission is to improve our pharmaceutical supply chain's performance to better service our pharmacy customers, so that they can focus on their patients. The DS2 team consists of Supply Chain Data Scientists, Operations Research Analysts, Data Analysts, and Data Engineers. We work cross-functionally to solve problems leveraging a variety of skillsets and perspectives to achieve the best outcomes. We perform analyses, recommend solutions, and build products to enable better decision making in the following areas: + Distribution center network design and capacity planning + Facility layout and design; warehouse capacity and utilization + Warehouse process improvement + Labor management and automation + Inventory management: stocking strategies and replenishment policies + Transportation planning: first mile, middle mile, and final mile + Sales and operations planning (resource management in response to demand changes) **_Responsibilities_** As a Data Scientist in Supply Chain Operations, you will apply your knowledge of business processes, systems, data, and analytical tools to explore and identify root causes of problems. You will forecast future demand, build optimization and simulation models, and communicate actionable insights. You will work with cross-functional project teams to ideate, develop, and recommend solutions. Specific responsibilities are to: + Listen to clients and ask questions to clearly define business problems. + Perform exploratory analysis to determine root causes of problems and confirm/disprove hypotheses. + Develop predictive models to forecast future volumes that will drive capacity/resource needs. + Develop customer and product segmentation models and design our supply chain to support differentiated services. + Build optimization and simulation models to recommend capacity investments, resource plans, policy changes, and process changes to improve supply chain performance. + Develop prescriptive models using 3rd party optimization/simulation software and custom-build models. + Recommend solutions. Summarize the financial and operational impact of the recommendation and pros/cons of alternatives considered. + Work with Data Engineers to create data models for analyses. **_Qualifications_** + 2-4 years of experience, preferred + Bachelor's degree in a quantitative field, or equivalent work experience, preferred + MS/MBA with focus in Data Science, Operations Research, Industrial Engineering, or Statistics preferred + Demonstrated ability to apply Data Science and Operations Research techniques to logistics and supply chain management problems preferred + Experience with Structured Query Language (SQL) and working with databases preferred + Experience with data analysis tools such as R, Python, SQL, Alteryx, Tableau, and SAS preferred + Experience with Strategic Network Design, Simulation (e.g., AnyLogic), or Mathematical Programming (e.g., CPLEX) software preferred + Proven ability to work as part of a team as the key analytical resource + Excellent communication skills with an ability to explain quantitative analysis in simple business terms + Intellectual curiosity, humility, genuine respect and desire to help others + Bias for action and passion for driving change + Ability to travel up to 5% **_What is expected of you and others at this level_** + Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects + May contribute to the development of policies and procedures + Works on complex projects of large scope + Develops technical solutions to a wide range of difficult problems + Solutions are innovative and consistent with organization objectives + Completes work; independently receives general guidance on new projects + Work reviewed for purpose of meeting objectives + May act as a mentor to less experienced colleagues **Anticipated salary range:** $93,500 - $133,600 **Bonus eligible:** No **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 7/1/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Company Highlights This firm has a long history of enforcing the insurance laws and regulations within the state. They are built on a foundation of integrity. With strong leadership at the helm, this is an exciting time to join the team and become a contributing member where you will make a name for yourself and carve your own path. Benefits and Features Competitive compensation Benefits package including health insurance, defined benefit pension plan, time off and more Supplemental benefits available The Role You Will Play Reporting to the Chief Actuary, the Actuary, P&C will be responsible for a wide spectrum of work including rate filings, solvency work, reinsurance contracts and even emerging technologies. This role will review insurance company financial statements and rate filings, including adequacy, consistency, and transparency of key assumptions and methodologies. The Actuary, P&C will collaborate with internal and external stakeholders to investigate and review pricing and insurance methodologies, provide insights, and recommend changes to regulatory leaders. This role will contribute to the setting of standards and models for best practices relating to rating, solvency, and planning processes, tools, monitors, and implementations. In this role you will be empowered to impact the insurance industry in a meaningful way, staying advised of industry trends, and keeping current on new techniques. Community Highlights This is a hybrid role based out of Baton Rouge, Louisiana. Baton Rouge sits along the Mississippi River and is rich in outdoor recreation from scenic trails and alligator parks to state museums and art galleries, there's something for everyone. Like sports? Check out an LSU Tigers football game. Are you a foodie? You'll find delicious cuisine throughout the downtown. Background Profile 5+ years of actuarial experience within the P&C space Expertise with financial statement reserves and Statement of Actuarial Opinion as well as actuarial structure of Property & Casualty Working knowledge of insurance company operations Familiarity with various business software applications Bachelor's degree and Credentialed by either SOA: ASA/FSA or CAS: ACAS/FCAS

**Location:** Onsite listed in Memphis, TN, Nashville, TN, Knoxville, TN, Charlotte, NC, Raleigh, NC, Tampa, FL, Miami, FL, Orlando, FL, Birmingham, AL, New Orleans, LA, Baton Rouge, LA, Lafayette, LA, Houston, TX. ** The Marketing Data Consultant is a member of the Marketing team, reporting to the VP, Marketing Data Enablement. This position is responsible for partnering with key stakeholders shaping and delivering data driven, integrated customer and banker experiences within the marketing technology stack and enabling data platforms. The person in this role will focus heavily on retail and small business banking-related enablement and will serve as the main steward to advance the capabilities of retail banking data platforms in the Marketing and Sales Enablement space. This candidate possesses a demonstrated knowledge of industry leading platforms and tools related to banking core systems, CDPs, marketing automation, digital, sales and service, CX, CRM, Data Cloud, and personalization. The candidate can effectively analyze, build and distribute audiences and segments by blending with other 1st, 2nd and 3rd party platforms and data sources. This role involves designing Alteryx workflows, ETL processes, connecting with data in Salesforce and Data Cloud, ensuring data quality, implementing consistent patterns and reusable components. **Roles and Responsibilities:** + Partner with the Analytics, Integrated Marketing and/or Brand Strategy teams to define audience, segmentation, and measurement requirements for program and campaign delivery across multiple channels. + Leverage available tools to build and design models and data processes to shape strategic audiences and segments for activation across channels. + Perform as a Data Cloud subject matter expert. + Work with cross-functional teammates to follow standard operating procedures to test and validate data processes for quality and accuracy. + Manage data pipelines for analytics and operational use. + Ensure data accuracy and integrity across multiple sources and systems. + Support line of business functions and markets through mastery of business relationship management, to include banker book of business and sales process enablement through the application of quality data through CRM and other banker facing applications. + Adhere to regulatory and compliance requirements for industry privacy and consent. **Related Qualities:** + 5+ years of experience in data engineering within a marketing and production environment. + 2+ years working with Data Cloud and querying data using Salesforce APIs. + Must have strong oral and written communication skills, communicating complex findings in a clear and understandable manner. + Be customer focused on understanding and appropriately drive innovative solutions. + The ability to successfully partner with multiple stakeholders and thrive in a fluid environment while managing multiple priorities. + Demonstrated critical thinking skills, ability to accurately analyze information and make sound decisions. + Provides a high level of accuracy on deliverables and communication, even under pressure. + Demonstrated ability to work independently while take initiative and accountability for achieving results. + Reads, researches, and remains up to speed on emerging technologies and practices. **Important Knowledge and Skills:** + Data Platforms & Tools: CDPs, core data platforms such as MS SQL, Oracle, IBM DB2, Alteryx, and Salesforce Data Cloud, Databricks/Dataiku. + CRM, Marketing Automation and Operations: Salesforce CRM, Salesforce Marketing Cloud, Salesforce Privacy Center, and Salesforce Loyalty Cloud. + Banking and Financial Services: Domain knowledge related to retail banking, digital banking,commercial / wholesale banking, business banking / small business, treasury management, wealth management, contact center. **About Us** First Horizon Corporation is a leading regional financial services company, dedicated to helping our clients, communities and associates unlock their full potential with capital and counsel. Headquartered in Memphis, TN, the banking subsidiary First Horizon Bank operates in 12 states across the southern U.S. The Company and its subsidiaries offer commercial, private banking, consumer, small business, wealth and trust management, retail brokerage, capital markets, fixed income, and mortgage banking services. First Horizon has been recognized as one of the nation's best employers by Fortune and Forbes magazines and a Top 10 Most Reputable U.S. Bank. More information is available at ******************** (https://urldefense.com/v3/\_\_https:/********************/\_\_;!!Cz2fjcuE!hpq9hPnrucZCPIAVPojVESItIq-FPzhurNdCrQ3JE8Rkx3gMd70nIk6\_kmPxl66\_oJCEsXs0gNunPowMAMHCmBYPOtUxUGI$) . **Benefit Highlights** - Medical with wellness incentives, dental, and vision - HSA with company match - Maternity and parental leave - Tuition reimbursement - Mentor program - 401(k) with 6% match - More -- FirstHorizon.com/First-Horizon-National-Corporation/Careers/Our-Benefits **Follow Us** Facebook (****************************************** X formerly Twitter LinkedIn (*************************************************** Instagram YouTube (********************************************************** Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (**************************** notice from the Department of Labor.

Job Description Turner Industries is a fully diversified industrial contractor. We help move the world forward by providing responsive, innovative solutions designed to increase plant production, reduce costs, reduce downtime, and even prevent shutdowns. Headquartered in Baton Rouge, LA, Turner Industries has over 20,000 employees with offices and job sites across the United States. Our single-solution approach in the petrochemical, refining, energy, pulp and paper, and related industries has made Turner one of the nation's top industrial contractors and earned us the No. 1 spot on ABC's 2024 Top Performers list. People are at the heart of everything we do. Their safety, security, and satisfaction have always been our top priorities. For proof, look no further than our strong working relationships and extraordinary workforce. Turner Industries Group has an opening for a Sr. Data Engineer to join our Information Technology team in the Baton Rouge, LA area. The Senior Data Engineer at Turner Industries is responsible for understanding, analyzing, querying, and modeling data and KPIs for large data warehousing projects. The ideal candidate will work within the team and with the other Senior Data Engineer to carry a project from conception to completion. Essential Qualifications: Excellent soft skills Ability to work closely with a team Strong project management skills with support, oversight, and guidance from the Data and Analytics Manager Strong T-SQL skills Depth of experience working with RDBMSs, with a strong preference for Microsoft SQL Server, and some experience with DB2 preferred but not required Minimum 2 years experience with Power BI, to include: Understanding Power BI Semantic Models Understanding Power Query Minimum 3 years experience with cloud data platforms (Google BigQuery, Snowflake, etc) Minimum 6 years experience utilizing dimensional modeling, with a deep understanding of the various types of fact tables and dimension types Minimum 8years of general Data and Analytics development experience Bachelor's degree in computer science, computer information systems, or an adjacent technical field Functional Requirements: Responsible for understanding, analyzing, querying, and modeling data and KPIs for large data warehousing projects; work within the team and with the other senior Data and Analytics developer to carry a project from conception to completion; have an expert level understanding of each facet of data warehousing; glean data and KPI needs from stakeholders, understand and profile existing data, model the final warehouse tables, and build the required ETL/ELT pipelines; have a deep understanding of dimensional modeling; understand the different dimension types, including slowly changing dimensions types 1 and 2, and in what scenarios each is appropriate; possess deep knowledge of ETL/ELT concepts and best practices; have a mix of experience writing code heavy data pipelines in platforms such as SQL or dbt and in GUI based platforms such as SSIS, Power BI Power Query, or Informatica; be equally comfortable building new data warehouse solutions and maintaining and updating existing ones; have a depth of experience working within 3NF OLTP platforms, specifically stored in RDBMSs; will occasionally need to build visuals in Power BI; have a basic working knowledge of building, configuring, and styling visuals in Power BI Compensation Final agreed upon compensation is based upon individual qualifications and experience. Benefits Depending on your employment status, benefits include health, dental, vision, life, ADD, voluntary life / ADD, disability benefits, leaves of absence, 401k, paid time off, paid holidays, telehealth access, and employee assistance program. Physical Involvement: Employee may be required to do the following: reaching in all directions, handling and manipulating objects and materials; coordinating the movement of eyes, hands and fingers to operate machines and equipment; lifting 30 to 50 pounds from ground level, waist level, and/or overhead; carrying objects, etc.; standing; sitting; walking; seeing with or without correction; hearing with or without correction. Turner Industries is an equal employment opportunity employer. All qualified individuals will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, national origin, disability and/or protected veteran status in accordance with governing law . Keywords: data engineer, engineering, data and analytics Job Posted by ApplicantPro

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Data Scientist Responsibilities: 1. Collect, organize, interpret, and summarize statistical data in order to contribute to the continued growth of company infrastructure. 2. Apply experience in quantitative analysis and data mining to improve, and optimize across a variety of domains with an emphasis on long-term and strategic initiatives. 3. Work cross-functionally to define priorities and develop business intelligence project roadmaps in synergy with partner teams. 4. Drive execution through fast iteration. 5. Ensure coordination of projects across related workflows to maximize impact and avoid duplication and overlaps. 6. Drive efficient data exploration and modeling. 7. Build pragmatic, scalable, and statistically rigorous solutions to large-scale web, mobile and data infrastructure problems by leveraging or developing statistical and machine learning methodologies. 8. Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors. 9. Telecommuting is permitted from anywhere in the U.S. **Minimum Qualifications:** Minimum Qualifications: 10. Requires a Bachelor's degree (or foreign equivalent) in Statistics, Mathematics, Data Analytics, Computer Science, Engineering, Cognitive Science, or a related field. Requires completion of an undergraduate-level course, research project, or internship involving the following: 11. 1. Quantative Analysis 12. 2. A/B Testing and Research Design 13. 3. Statistical Modeling 14. 4. Data Mining 15. 5. Data Visualization and Storytelling 16. 6. SQL 17. 7. Python. **Public Compensation:** $221,024/year to $235,400/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

GovCIO is currently hiring foran ETL Engineer (or Data Scientist) to join our ETL Team focusedon designing, developing, and maintaining robust ETL pipelines and data infrastructure within AWS GovCloud environments. This position will be located in Hanover, MD and will be a fully remote position. **Responsibilities** Design, develop, and maintain robust ETL pipelines and data infrastructure within AWS GovCloud environments. You will work closely with cross-functional teams to ensure that data from a variety of sources is efficiently processed, analyzed, and visualized to monitor and optimize system performance. You will use a combination of AWS native services and open-source software to create scalable and high-performance data pipelines, manage complex data flows, and contribute to operational monitoring efforts across a large AWS environment. Data Pipeline Development: + Design and implement Extract, Transform, Load (ETL) solutions to move, process, and store data from a wide range of sources, including AWS S3, CloudWatch, EventBridge, and other cloud-based services. + Leverage AWS services such as Lambda, Kinesis, and Data Prepper to create data pipelines that span multiple AWS accounts. + Use AWS CloudFormation to deploy and manage data pipeline infrastructure in an Infrastructure-as-Code (IaC) environment. + Deploy and manage CloudWatch alarms and synthetic canaries to ensure system health and proactively detect issues before they impact users. Log Aggregation & Metrics Collection: + Deploy and configure Fluent-bit agents to collect system and application logs from hundreds of critical systems. + Develop custom Lua functions and regex parsers for transforming and routing logs as required. Data Analysis, Visualization & Alerting: + Design and build data visualizations, dashboards, and alerts to monitor and detect anomalous system activity. + Design, implement, and maintain AWS CloudWatch alarms to monitor the health and performance of cloud applications, infrastructure, and services. + Configure notifications for alerts using Amazon SNS, and integrate with communication tools (e.g., Slack, email) to ensure timely awareness of critical issues. + Develop custom visualizations using Vega, create alerts using Query DSL and Painless scripting, and produce reports via OpenSearch SQL. Cluster Management & Data Storage: + Manage and maintain an OpenSearch cluster to support large-scale data ingestion and querying. + Implement explicit mappings for fields being ingested into OpenSearch and manage index state management policies for optimal performance. + Use Active Directory Federated Services to implement access control and multi-tenancy within the OpenSearch environment. Application Performance Monitoring: + Instrument diverse applications using OpenTelemetry for OpenSearch APM to ensure visibility into application performance. **Qualifications** HS Diploma with 9+ years' experience/professional Ability to obtain a Top Secret Required Skills and Experience + Must have IAT level II/III certification (i.e., CompTIA Security+(CE)) + Must have experience and certifications in Linux and/or AWS GovCloud technologies Preferred Skills and Experience + Strong experience with AWS services such as Lambda, Kinesis, CloudWatch, S3, EventBridge, and CloudFormation. + Proficiency in Python for developing and maintaining data pipelines. + Experience managing distributed NoSQL databases such OpenSearch, Elasticsearch, MongoDB or Splunk. + Experience deploying and configuring agents for log aggregation and system monitoring. + Knowledge of Infrastructure-as-Code (IaC) principles, particularly with AWS CloudFormation. + Effective written and oral communication skills + Certification(s) in relevant technologies \#NSS \#AR **Company Overview** GovCIO is a team of transformers--people who are passionate about transforming government IT. Every day, we make a positive impact by delivering innovative IT services and solutions that improve how government agencies operate and serve our citizens. But we can't do it alone. We need great people to help us do great things - for our customers, our culture, and our ability to attract other great people. We are changing the face of government IT and building a workforce that fuels this mission. Are you ready to be a transformer? **What You Can Expect** **Interview & Hiring Process** If you are selected to move forward through the process, here's what you canexpect: + During the Interview Process + Virtual video interview conducted via video with the hiring manager and/or team + Camera must be on + A valid photo ID must be presented during each interview + During the Hiring Process + Enhanced Biometrics ID verification screening + Background check, to include: + Criminal history (past 7 years) + Verification of your highest level of education + Verification of your employment history (past 7 years), based on information provided in your application **Employee Perks** At GovCIO, we consistently hear that meaningful work and a collaborative team environment are two of the top reasons our employees enjoy working here. In addition, our employees have access to a range of perks and benefits to support their personal and professional well-being, beyond the standard company offered health benefits, including: + Employee Assistance Program (EAP) + Corporate Discounts + Learning & Development platform, to include certification preparation content + Training, Education and Certification Assistance* + Referral Bonus Program + Internal Mobility Program + Pet Insurance + Flexible Work Environment *Available to full-time employees Our employees' unique talents and contributions are the driving force behind our success in supporting our customers, which ultimately fuels the success of our company. Join us and be a part of a culture that invests in its people and prioritizes continuous enhancement of the employee experience. **We are an Equal Opportunity Employer.** All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, or status as a protected veteran. EOE, including disability/vets. **Posted Pay Range** The posted pay range, if referenced, reflects the range expected for this position at the commencement of employment, however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, education, experience, and internal equity. The total compensation package for this position may also include other compensation elements, to be discussed during the hiring process. If hired, employee will be in an "at-will position" and the GovCIO reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, GovCIO or individual department/team performance, and market factors. **Posted Salary Range** USD $130,000.00 - USD $155,000.00 /Yr. Submit a referral to this job (****************************************************************************************************************************************** **Location** _US-Remote_ **ID** _2025-6072_ **Category** _IT Infrastructure & Network Engineering & Operations_ **Position Type** _Full-Time_

Description & Requirements We now have an exciting opportunity for a Senior Data Scientist specializing in algorithm architectures to join the Maximus AI Accelerator supporting the enterprise at large. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. Additionally, you will be responsible for supporting the development of new and novel algorithms that ensure the responsible deployment of AI across the enterprise and support the development of data driven decision making methodologies. This role requires strong systems thinking, problem-solving abilities, mathematics, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) Essential Duties and Responsibilities: - Develop, collaborate, and advance the applied and responsible use of AI, ML, mathematics, and data science solutions throughout the organization by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead efforts across the organization to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, Large Language Models (LLMs) and classical machine learning. - Develop mathematically rigorous process improvement procedures. - Maintain advanced, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. What You Will Do: - Develop, collaborate, and advance the applied and responsible use of AI, ML, mathematics, and data science solutions throughout the organization by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead efforts across the organization to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, Large Language Models (LLMs) and classical machine learning. - Develop mathematically rigorous process improvement procedures. - Maintain advanced, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. Minimum Requirements (required skills that align with contract LCAT, verifiable, and measurable): - Professional Programming experience (e.g. Python, R, etc.) - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming - Experience with Linux - Experience with Statistics - Experience with Linear Algebra and Calculus - Experience applying mathematical principles to real world problems - Experience with Machine Learning - Experience working as a contributor on a team Minimum Education requirement: - BS in a quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.) Years of Required Work-Related Experience: - 3+ yrs experience in Artificial Intelligence and Machine Learning - 3+ yrs experience in Software Development - 3+ yrs of Mathematical Modeling Required Certifications: - None Minimum Requirements - Bachelor's degree in relevant field of study and 5+ years of relevant professional experience required, or equivalent combination of education and experience. Preferred Key Skills and Abilities (not contractually required): - Masters in quantitative discipline - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter - Experience working as an individual contributor in AI - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. - Use of a variety of programming languages, including but not limited to Python/Java and frontend frameworks for POC demos and dashboarding - Use and development of program automation, CI/CD, DevSecOps, and Agile - Experience with deep learning model architecture development and philosophy - Cloud certifications (AWS, Azure, or GCP) - 5+ yrs of related experience in AI, advanced analytics, computer science, mathematical modeling, or software development. - Python Experience with TensorFlow, PyTorch, and Pandas EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Minimum Salary $ 123,440.00 Maximum Salary $ 180,000.00

Job Description Company Highlights This firm has a long history of enforcing the insurance laws and regulations within the state. They are built on a foundation of integrity. With strong leadership at the helm, this is an exciting time to join the team and become a contributing member where you will make a name for yourself and carve your own path. Benefits and Features Competitive compensation Benefits package including health insurance, defined benefit pension plan, time off and more Supplemental benefits available The Role You Will Play Reporting to the Chief Actuary, the Actuary, P&C will be responsible for a wide spectrum of work including rate filings, solvency work, reinsurance contracts and even emerging technologies. This role will review insurance company financial statements and rate filings, including adequacy, consistency, and transparency of key assumptions and methodologies. The Actuary, P&C will collaborate with internal and external stakeholders to investigate and review pricing and insurance methodologies, provide insights, and recommend changes to regulatory leaders. This role will contribute to the setting of standards and models for best practices relating to rating, solvency, and planning processes, tools, monitors, and implementations. In this role you will be empowered to impact the insurance industry in a meaningful way, staying advised of industry trends, and keeping current on new techniques. Community Highlights This is a hybrid role based out of Baton Rouge, Louisiana. Baton Rouge sits along the Mississippi River and is rich in outdoor recreation from scenic trails and alligator parks to state museums and art galleries, there's something for everyone. Like sports? Check out an LSU Tigers football game. Are you a foodie? You'll find delicious cuisine throughout the downtown. Background Profile 5+ years of actuarial experience within the P&C space Expertise with financial statement reserves and Statement of Actuarial Opinion as well as actuarial structure of Property & Casualty Working knowledge of insurance company operations Familiarity with various business software applications Bachelor's degree and Credentialed by either SOA: ASA/FSA or CAS: ACAS/FCAS

Location: Onsite listed in Memphis, TN, Nashville, TN, Knoxville, TN, Charlotte, NC, Raleigh, NC, Tampa, FL, Miami, FL, Orlando, FL, Birmingham, AL, New Orleans, LA, Baton Rouge, LA, Lafayette, LA, Houston, TX. The Marketing Data Consultant is a member of the Marketing team, reporting to the VP, Marketing Data Enablement. This position is responsible for partnering with key stakeholders shaping and delivering data driven, integrated customer and banker experiences within the marketing technology stack and enabling data platforms. The person in this role will focus heavily on retail and small business banking-related enablement and will serve as the main steward to advance the capabilities of retail banking data platforms in the Marketing and Sales Enablement space. This candidate possesses a demonstrated knowledge of industry leading platforms and tools related to banking core systems, CDPs, marketing automation, digital, sales and service, CX, CRM, Data Cloud, and personalization. The candidate can effectively analyze, build and distribute audiences and segments by blending with other 1st, 2nd and 3rd party platforms and data sources. This role involves designing Alteryx workflows, ETL processes, connecting with data in Salesforce and Data Cloud, ensuring data quality, implementing consistent patterns and reusable components. Roles and Responsibilities: * Partner with the Analytics, Integrated Marketing and/or Brand Strategy teams to define audience, segmentation, and measurement requirements for program and campaign delivery across multiple channels. * Leverage available tools to build and design models and data processes to shape strategic audiences and segments for activation across channels. * Perform as a Data Cloud subject matter expert. * Work with cross-functional teammates to follow standard operating procedures to test and validate data processes for quality and accuracy. * Manage data pipelines for analytics and operational use. * Ensure data accuracy and integrity across multiple sources and systems. * Support line of business functions and markets through mastery of business relationship management, to include banker book of business and sales process enablement through the application of quality data through CRM and other banker facing applications. * Adhere to regulatory and compliance requirements for industry privacy and consent. Related Qualities: * 5+ years of experience in data engineering within a marketing and production environment. * 2+ years working with Data Cloud and querying data using Salesforce APIs. * Must have strong oral and written communication skills, communicating complex findings in a clear and understandable manner. * Be customer focused on understanding and appropriately drive innovative solutions. * The ability to successfully partner with multiple stakeholders and thrive in a fluid environment while managing multiple priorities. * Demonstrated critical thinking skills, ability to accurately analyze information and make sound decisions. * Provides a high level of accuracy on deliverables and communication, even under pressure. * Demonstrated ability to work independently while take initiative and accountability for achieving results. * Reads, researches, and remains up to speed on emerging technologies and practices. Important Knowledge and Skills: * Data Platforms & Tools: CDPs, core data platforms such as MS SQL, Oracle, IBM DB2, Alteryx, and Salesforce Data Cloud, Databricks/Dataiku. * CRM, Marketing Automation and Operations: Salesforce CRM, Salesforce Marketing Cloud, Salesforce Privacy Center, and Salesforce Loyalty Cloud. * Banking and Financial Services: Domain knowledge related to retail banking, digital banking,commercial / wholesale banking, business banking / small business, treasury management, wealth management, contact center. About Us First Horizon Corporation is a leading regional financial services company, dedicated to helping our clients, communities and associates unlock their full potential with capital and counsel. Headquartered in Memphis, TN, the banking subsidiary First Horizon Bank operates in 12 states across the southern U.S. The Company and its subsidiaries offer commercial, private banking, consumer, small business, wealth and trust management, retail brokerage, capital markets, fixed income, and mortgage banking services. First Horizon has been recognized as one of the nation's best employers by Fortune and Forbes magazines and a Top 10 Most Reputable U.S. Bank. More information is available at ********************* Benefit Highlights * Medical with wellness incentives, dental, and vision * HSA with company match * Maternity and parental leave * Tuition reimbursement * Mentor program * 401(k) with 6% match * More -- FirstHorizon.com/First-Horizon-National-Corporation/Careers/Our-Benefits Follow Us Facebook X formerly Twitter LinkedIn Instagram YouTube

Turner Industries is a fully diversified industrial contractor. We help move the world forward by providing responsive, innovative solutions designed to increase plant production, reduce costs, reduce downtime, and even prevent shutdowns. Headquartered in Baton Rouge, LA, Turner Industries has over 20,000 employees with offices and job sites across the United States. Our single-solution approach in the petrochemical, refining, energy, pulp and paper, and related industries has made Turner one of the nation's top industrial contractors and earned us the No. 1 spot on ABC's 2024 Top Performers list. People are at the heart of everything we do. Their safety, security, and satisfaction have always been our top priorities. For proof, look no further than our strong working relationships and extraordinary workforce. Turner Industries Group has an opening for a Sr. Data Engineer to join our Information Technology team in the Baton Rouge, LA area. The Senior Data Engineer at Turner Industries is responsible for understanding, analyzing, querying, and modeling data and KPIs for large data warehousing projects. The ideal candidate will work within the team and with the other Senior Data Engineer to carry a project from conception to completion. Essential Qualifications: Excellent soft skills Ability to work closely with a team Strong project management skills with support, oversight, and guidance from the Data and Analytics Manager Strong T-SQL skills Depth of experience working with RDBMSs, with a strong preference for Microsoft SQL Server, and some experience with DB2 preferred but not required Minimum 2 years experience with Power BI, to include: Understanding Power BI Semantic Models Understanding Power Query Minimum 3 years experience with cloud data platforms (Google BigQuery, Snowflake, etc) Minimum 6 years experience utilizing dimensional modeling, with a deep understanding of the various types of fact tables and dimension types Minimum 8years of general Data and Analytics development experience Bachelor's degree in computer science, computer information systems, or an adjacent technical field Functional Requirements: Responsible for understanding, analyzing, querying, and modeling data and KPIs for large data warehousing projects; work within the team and with the other senior Data and Analytics developer to carry a project from conception to completion; have an expert level understanding of each facet of data warehousing; glean data and KPI needs from stakeholders, understand and profile existing data, model the final warehouse tables, and build the required ETL/ELT pipelines; have a deep understanding of dimensional modeling; understand the different dimension types, including slowly changing dimensions types 1 and 2, and in what scenarios each is appropriate; possess deep knowledge of ETL/ELT concepts and best practices; have a mix of experience writing code heavy data pipelines in platforms such as SQL or dbt and in GUI based platforms such as SSIS, Power BI Power Query, or Informatica; be equally comfortable building new data warehouse solutions and maintaining and updating existing ones; have a depth of experience working within 3NF OLTP platforms, specifically stored in RDBMSs; will occasionally need to build visuals in Power BI; have a basic working knowledge of building, configuring, and styling visuals in Power BI Compensation Final agreed upon compensation is based upon individual qualifications and experience. Benefits Depending on your employment status, benefits include health, dental, vision, life, ADD, voluntary life / ADD, disability benefits, leaves of absence, 401k, paid time off, paid holidays, telehealth access, and employee assistance program. Physical Involvement: Employee may be required to do the following: reaching in all directions, handling and manipulating objects and materials; coordinating the movement of eyes, hands and fingers to operate machines and equipment; lifting 30 to 50 pounds from ground level, waist level, and/or overhead; carrying objects, etc.; standing; sitting; walking; seeing with or without correction; hearing with or without correction. Turner Industries is an equal employment opportunity employer. All qualified individuals will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, national origin, disability and/or protected veteran status in accordance with governing law . Keywords: data engineer, engineering, data and analytics

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 8. 2+ years of work experience in analytics and data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) 9. 2+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $114,000/year to $171,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.