Data Scientist Jobs in Clarksville, TN

HCA Healthcare is looking for an experienced and innovative Data Modeler to lead the design and implementation of scalable, secure, and high-performance data products on Google Cloud. In this role, you will be at the forefront of transforming raw data into actionable insights by creating robust architectures that integrate seamlessly into our enterprise ecosystem. The Data Modeler will play a critical role in bridging the gap between business needs and technical solutions. You will work closely with Data Product Owners to understand product requirements, ensure alignment with business goals, and design solutions that meet operational and analytical needs. This position requires a deep understanding of the architecture of business data source systems, their structures, communication protocols, and interfaces. The ideal candidate will demonstrate a mastery of data analysis, logical data modeling, and the ability to identify opportunities for data reuse and transformation. You will design data architectures that address gaps, optimize performance, and enforce enterprise standards in cybersecurity, governance, and compliance. As a key contributor to HCA's data strategy, you will also develop and maintain a comprehensive data architecture roadmap, ensuring alignment with business priorities and evolving technology trends. By integrating advanced analytics and machine learning capabilities, you will help HCA Healthcare maximize the value of its data to improve clinical outcomes and operational efficiency. What you will do: Perform advanced data analysis to inform design decisions and ensure alignment with business needs. Create logical data models or object models of moderate complexity to address business challenges. Identify redundant data objects and reusable data items across systems and applications. Define data transformation requirements and implement efficient solutions. Implement enterprise data management practices, standards, and frameworks for Data Integration Ensure data governance and security best practices are followed. Participate in code reviews and provide feedback on SQL queries and ETL pipelines Build automated validation processes for data integrity checks What qualifications you will need: Bachelor's degree Computer Science or a related field required Master's degree Computer Science or a related field preferred 3+ years of experience in data management, data products, or analytics required Service and Quality Excellence: Ability to demonstrate an uncompromising commitment to delivering exceptional care to create an unmatched value proposition for our patients required Proficiency in SQL and database design Ability to write, tune, and interpret SQL queries; Experience GCP Big Query is a plus Experience with GIT and GitHub version control. Extensive experience in architecture, construction, and implementation of data-intensive solutions Strong understanding of metadata management and data cataloging Adeptness to learn new assignments, technologies and applications quickly and manage multiple assignments simultaneously Ability to troubleshoot, maintain, reverse engineer and optimize existing ETL pipelines. Familiarity with Python, GCP Dataflow and Cloud Composer is a plus Ability to analyze and interpret complex data, and offer solutions to complex clinical problems. Ability to work independently on assigned tasks. Strong written and verbal communication skills including the ability to explain complex technical issues in a way that non-technical people may understand. Excellent problem-solving and critical thinking skills. Knowledge of IT governance and operations. Honor our Mission and Values: Ability to build trust and act with authenticity to cultivate a culture of integrity, inclusion, and mutual respect required Effective Decision Making: Ability to make timely, informed decisions that are in the best interest of our patients, employees, providers, community and HCA required Work Location/Schedule: Nashville, TN (near Centennial Park) Onsite M-F for the fist 6 months, then Hybrid with 2 days onsite/wk.

At Girls Scout Heart Of The South, we are looking for a curious, detail-driven, and business-minded Data Analyst to join our team. In this role, you'll turn data into insights that drive key business decisions while working cross-functionally with teams across the organization. If you're someone who loves solving problems with data and wants to make a real impact, we want to hear from you.Responsibilities Collect, clean, and analyze large datasets to extract meaningful business insights Build reports, dashboards, and visualizations using tools like Excel, Power BI, or Tableau Work with stakeholders to understand their data needs and deliver actionable recommendations Identify trends, anomalies, and patterns to improve decision-making Support strategic planning and performance tracking with data-driven insights Collaborate with engineering, marketing, operations, finance, and other teams Present findings clearly to both technical and non-technical audiences Utilize SQL for data manipulation and analysis Develop and maintain documentation for data processes and reports Stay updated with industry trends and best practices in data analysis Requirements Bachelor's Degree Salary: $55.00-$68.00 per hour

Foreign Language Specialist Do you possess a flair for languages and enjoy coastal living? Join us as a Foreign Language Specialist at the Defense Language Institute in the picturesque Monterey, CA. In this role, you will master your chosen language and immerse yourself in its associated culture. Upon completing the training, exciting travel opportunities await, allowing you to apply your language skills in real-life scenarios. Requirements: Attend a 46-week paid training program to gain skills and certifications in foreign language proficiency, cultural immersion, interviewing, intelligence analysis, and intelligence gathering. Advanced certifications require additional full funded training programs. Benefits: Comprehensive Healthcare, Vision, and Dental plans. 30 days paid vacation. 90 days paid paternity and maternity vacation. Comprehensive wellness programs including fitness facility access, nutrition consulting, curated fitness plans, and more. Housing, clothing, and relocation allowance. Tuition assistance. Student loan repayment. Flexible retirement and pension plans. Pay and Promotion: Entry pay and promotions vary based on education level and qualifications. Hiring bonus opportunities available. Specialty bonuses available depending on qualifications and position. Guaranteed promotion opportunities. Additional Career Opportunities: Upon successful completion of first term contract, you are guaranteed up to 5 interviews with your choice 1,200 industry leading organizations including Disney, Tesla, and Coca-Cola. Similar Career Fields Include: Translator, Intelligence Analyst, Foreign Language Teacher. About Our Organization: The U.S. Army offers a variety of possibilities for to discover your true potential - whether you are looking to gain technical expertise, travel the world, or serve your community, the Army's unique career opportunities and comprehensive benefits package will enable you to achieve your goals. Be All You Can Be. Now Hiring Full and Part Time Positions. ***Click apply for an Interview***

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 Clearance: 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 \#maverick **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? **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 $155,000.00 - USD $172,000.00 /Yr. Submit a referral to this job (****************************************************************************************************************************************** **Location** _US-Remote_ **ID** _2025-6056_ **Category** _IT Infrastructure & Network Engineering & Operations_ **Position Type** _Full-Time_

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. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 8. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 9. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $173,000/year to $242,000/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.

**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

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.

Job Description As a Data Scientist you will be responsible for designing, implementing, and optimizing advanced data science models to solve business problems. You will collaborate with cross-functional teams to develop data-driven solutions that enhance our products and services. Functions • Processing, cleansing, and validating the integrity of data to be used for analysis • Conduct research and analysis to identify data patterns and trends that can be leveraged for AI model development. • Performs data analysis, interprets the findings from it and explains the finding to stake holders. • Propose solutions and strategies to tackle business challenges. • Design, develop, and implement machine learning algorithms and statistical models to power AI results and actions. • Ensure AI model development incorporates all necessary guardrails that always allows the user to be in control. • Lead testing processes to assess and continuously enhance AI performance. • Continuously monitor and evaluate model performance, making improvements as necessary to ensure accuracy and relevance. • Designs and maintains scalable data pipelines. • Stay updated on industry trends and best practices in data science and customer analytics. • Collaborate with cross-functional teams including data engineering, marketing, sales, and product development. Qualifications • A Bachelor’s or Master’s degree in mathematics, computer science, engineering, statistics, or related quantitative field required. • 3-5 years of experience within data science, advanced analytics and statistical analysis. • Strong programming skills in Python, with expertise in SQL. • Strong understanding of machine learning algorithms and statistical modeling techniques. • Experience deploying machine learning models in production environments. • Ability to visualize data in the most effective way possible for a given project or study • Expertise in building Generative AI applications. • Proven track record of delivering data science solutions that drive business impact. • Experience with cloud services such as AWS and utilizing containerized solutions for deploying scalable machine learning solutions. • Experience with frameworks like Dash to build scalable web applications. • Ability to work independently and with team members from different backgrounds. • Excellent communication and presentation skills, with the ability to translate complex technical concepts to non-technical stakeholders. Competencies • Business Acumen – Knowledgeable in current and possible future policies, practices, trends, technology, and information affecting his/her business and organization. • Communicate for Impact – Devoting the time and resources necessary to communicate the strategic vision, direction, priorities, and progress of the team for which you are responsible. • Leading People – Ability to develop and implement strategies to maximize employee performance and foster employee engagement in meeting the organization's strategy. • Managing Transitions/Change Management – Effectively plans, manages and communicates changes in processes with appropriate stakeholders. • Relationship Management – Building and maintaining relationships with internal partners to successfully complete projects and organizational objectives. • Strategic Agility - Gains perspective and balances the pressure between daily tasks and strategic actions that impact the long-term viability of the organization. Travel Requirements • This position is expected to travel approximately 25% or less. • A passport is not required, but recommended. For California residents – please enter or copy/paste the address below into your address bar to review an important notice regarding Kenco’s privacy policy. **********************************************************************************

div class="jobdesciption" America Corp/strong/p pMidea America Corp. is a U.S. subsidiary within Midea Group, the Fortune 500 giant known for making life easier for millions around the globe. As the world's top maker of home appliances, Midea is proud of its 166,000+ employees and presence in 200+ countries, including here in the U.S./p pHeadquartered in Parsippany, N.J., with an innovation hub in Louisville, Kentucky, Midea America provides practical innovations that surprise and delight, creating moments to cherish at home./p pMidea's lineup of appliances - from refrigerators to air conditioners, laundry solutions and floor care - are high quality, reliable, and affordable. By thoughtfully engineering performance, convenience, and design into every product, Midea delivers on the promise of every appliance./p pstrong Summary:/strong/p pWe are seeking a motivated and detail-oriented strong Data Scientist/strong to join our Consumer and Market Insights (CMI) team, focusing on kitchen appliances. The ideal candidate will play a critical role in extracting and analyzing data to drive insights that shape product strategies and consumer engagement. This position combines expertise in web scraping, data visualization, social media analytics, and collaboration with the CMI leader to deliver actionable insights./p pstrong Essential Job Responsibilities/strong/p ul li Work with the design and consumer research teams to develop innovative solutions for the Refrigeration group of products using machine learning and statistical methods/li li Clean, process, and analyze review data to identify trends, consumer sentiments, and improvement opportunities for kitchen appliances./li li Develop and implement web scraping tools to gather online reviews and feedback from multiple platforms (e.g., Amazon, Best Buy, Google Reviews)./li li Conduct social media listening to track brand mentions, competitor activity, and emerging consumer preferences across channels./li li Use findings of data mining to help give feedback to the Ramp;D teams on improvement actions and future planning to improve reviews/li li Build tool to help engineers to mine patent search results to help reduce the relevant patents based on key words/li li Collaborate and support with CMI team to interpret data findings from quantitative and qualitative data sets and align them with business objectives./li li Design and maintain interactive dashboards using tools like Tableau, Power BI, or Python to visualize key performance indicators, consumer feedback, and trends./li li Research state-of-the-art tools and techniques in data science and help integrate them into our development process/li li Work with cross-functional teams to help build sales tools that highlight various outputs from large datasets - including, but not limited to, sales and rebate incentives, competitive analysis, product inventory amp; location, service amp; quality data, etc./li li Looks for opportunities within the business to use their skillsets to improve processes within the team/li li Ability to meet with customers/potential customers to discuss product reviews and ratings and help answer questions about their process/li li Ability to travel domestically amp; internationally/li /ul pstrong Qualifications/strong/p ul li Bachelor's Degree in Computer Science, Data Science or similar field./li li Strong interpersonal skills with the ability to communicate with technical teams/li li At least 1-2 years of experience with data mining on consumer products reviews and consumer insights analysis./li li Proficiency in web scraping tools and techniques (e.g., Beautiful Soup, Scrapy, Selenium)./li li Strong experience with data analysis and visualization tools (e.g., Python, R, Tableau, Power BI)./li li Knowledge of social media analytics tools (e.g., Brandwatch, Sprinklr, Talkwalker) and sentiment analysis techniques./li li Excellent Excel and data manipulation skills./li li Strong analytical and problem-solving capabilities, with a keen attention to detail./li li Exceptional communication skills, both written and verbal, to translate complex data into actionable insights./li /ul pstrong Preferred Qualifications/strong/p ul li Master's degree in Computer Science, Applied Math, Statistics or similar field from an accredited university/li li History of working with global colleagues/li li Previous co-op experience with Midea is strongly recommended./li li Experience with natural language processing (NLP) for sentiment and text analysis./li li Familiarity with consumer insights and market research methodologies./li li Background in working with kitchen appliances or consumer goods industries./li /ul pem Midea America Corp, is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics./em/p pstrong Featured benefits:/strong/p p• Medical insurance/p p• Vision insurance/p p• Dental insurance/p p• 401(k)/p /div

Tombras, a 400+ person, full-service, national advertising agency with a digital mindset, is seeking a Data Scientist. Where you'll be working: Knoxville or Atlanta. Relocation assistance may be provided. The analytics practice at Tombras delivers on the agency's promise of data + creativity for business results. This role will be foundational to our advanced analytics team, which will partner with our analytics, media, and data-ops teams to realize the vision of offering best in class marketing science for our clients. You'll build proprietary tooling, work on brands with household recognition, and grow the team as the agency scales.What you will be doing: Lead client engagements for advanced analytics including Media Mix Modeling, Message Mix Modeling, Multi-Touch Attribution, Forecasting, and support testing, experimentation, and optimization. Your remit will be end-to-end, from selling in new work thru delivery of the results. Develop the framework and approach for marketing science and develop bespoke offerings. Employ best in class tooling to develop proprietary Martech in partnership with the Technology and Media practices. Identify new and innovative data sets that can be used to improve existing modeling work, or deliver net new models. Clearly articulate statistical results to clients, ultimately leading to continued client engagement and implementation. What you bring: M.S. or Ph.D. degree in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or Operations Research (Optional) Experience in marketing science or advertising analytics Mastery of advanced analytical techniques including but not limited to Multivariate/Bayesian Regression, Randomized Control Trials, Media Mix/Multi-Touch Attribution, Time-Series, Forecasting, Predictive Modeling, Discrete Choice Models Strong competency with python, R, SQL, and other commonly used statistical tools Client services mindset Ability to influence clients and partner agencies to act on insights Ability to distill complicated information into succinct graphical presentations for senior stakeholders. Why Join Tombras Analytics? Tombras Analytics sits at the cornerstone of Connecting Data + Creativity for Business Results and delivers Diagnostic, Descriptive, Predictive and Prescriptive Analytics across both internal teams and a diverse global, national and regional client base. We are a passionate team of 20+ professionals dedicated to pushing the boundaries of analytics to help our clients discover opportunities, capitalize on trends, create efficiencies and improve marketing and business results for maximum growth. Why you'll want to work at Tombras: You'll be joining one of the top independent agencies in North America. Connecting Data & Creativity for Business Results is working for our clients and creating a flywheel affect fueling both client and agency growth. You'll be a part of a highly creative agency that has been recognized by AdAge, Adweek, Communication Arts, Fast Company, Forbes and Fortune. Tombras was recently named 2025 AdAge Agency of the year and 2024 AdAge Independent Agency of the Year. Tombras Benefits: Family - It comes first, on every list. Tombras has been family-run since day 1, we strive to facilitate a family-oriented environment rooted in supporting one another.Dog-friendly offices Unlimited PTOGenerous parental leave for primary and non-primary caregivers. Medical (PPO or High Deductible option) for employee + dependents 401(k) ParticipationEmployer-paid Dental & Vision A company culture of promotions from within and an atmosphere allowing for varied and rapid career development. New, Modern building in Downtown KnoxvilleWant more reasons to work at Tombras? Check out the latest Tombras News and Our Values. Tombras is proud to be an equal opportunity employer dedicated to pursuing and hiring a diverse workforce. Tombras is an E-Verify employer and participates in the E-Verify program. This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice. Job may require traveling overnight, driving long distances as required and sitting for extended periods of time with occasional walking and standing and occasionally lifting or carrying articles weighing less than 10 pounds.

**_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 (***************************************************************************************************************************

This position is responsible for driving data-driven insights and developing advanced analytics solutions that increase Marketing effectiveness and impact. You will lead the creation of interactive dashboards, conduct ad hoc analyses, and develop predictive models to deepen the understanding of customer behavior and optimize marketing efforts. This role is pivotal in translating complex data into actionable insights, helping the organization make data-informed decisions and stay ahead in customer personalization and precision marketing. Essential Duties and Responsibilities (Min 5%) * Design and build interactive, user-friendly dashboards to monitor key business metrics, providing real-time insights for marketing teams. Use tools such as Matplotlib, Seaborn, Power BI, or others to visualize and communicate complex data effectively. * Perform in-depth, on-demand analyses to address pressing business questions and support strategic decision-making. Analyze large datasets to identify trends, uncover insights, and provide actionable recommendations. * Develop, refine, and maintain predictive models (using Python or Databricks) to forecast customer behavior, optimize marketing campaigns, and drive customer segmentation. * Lead the design and execution of A/B tests and other experiments to validate hypotheses, assess marketing strategies, and continuously improve business outcomes. * Lead data science team with best practices and guide others in their modeling projects * Maintain a broad exposure to the wider ecosystem of AI / Machine Learning and ensure our team is pushing toward the most optimal solutions. * Manage multiple projects simultaneously including development of new technologies and maintenance of existing framework. * Leadership: Provide strategic direction and support growth of direct and indirect reports. Models TSC Values and creates positive environment that empowers the team to maximize returns to the organization. This person needs to be able to lead business engagements to identify analytics solutioning and influence adoption. Required Qualifications * 5+ years of experience in business intelligence, data analysis, or predictive modeling, with a focus on CRM, transactional data, digital marketing, or customer behavior analysis. * Proven experience in dashboard creation, reporting, presenting, and performing ad hoc analysis to support business needs. * Strong understanding of the Retail, Consumer Packaged Goods (CPG), or Marketing Agency sectors is a plus. Preferred knowledge, skills or abilities * Experience with programming langagues such as SQL,Python, Spark. * Dashboarding experience and familiarity with visualization tools such as Matplotlib, Seaborn, and Power BI. * Experience working with clickstream, website/app, and Ad Tech platform data experience (e.g. Meta, Google, Pinterest etc.) highly desired * Knowledge of A/ B testing methods; capable of designing a controlled test design, running the test and providing measurement results * Ability to frame business questions and create an analytics solution using statistical or other advanced analytics methodologies * Experience with marketing analytic concepts such as customer lifetime value, market basket analysis, customer profile creation a plus * Experience using Azure, AWS, or another cloud compute platform a plus * Experience with marketing loyalty programs, email, direct mail, and digital marketing a plus * Must possess high degree of aptitude in communicating both verbally and written complex analysis results to Senior & Executive Leadership Working Conditions * Normal office working conditions Physical Requirements * Sitting * Standing (not walking) * Walking * Kneeling/Stooping/Bending * Lifting up to 10 pounds Disclaimer This job description represents an overview of the responsibilities for the above referenced position. It is not intended to represent a comprehensive list of responsibilities. A team member should perform all duties as assigned by his/ her supervisor. Company Info

Hi, I hope you are doing good. I have a job opportunity related to your profile with one of our client, please find below Job Description for your review. If you are interested and available for the following position then please send your updated resume in word format along with your contact details to discuss further. Role: Sr. Data Scientist Duration: Full Time / Permanent Location: Memphis, TN Required Skills: Overall Responsibilities: Senior data scientist. Research various analytical approaches Recommend and develop mathematical algorithms for related business problems Communicate and direct development teams on implementation of statistical models Interface with Business users and gather feedback on delivered analytical data. Deploy solutions on to big data platforms Functional Responsibilities: Specific tasks include but are not limited to: Work on one of following initiatives within Predictive Client Analytics group: RFM recommendations, CCAR and other projects TBD Validation of analytical approaches produced by vendor and 3rd party consulting teams Developing data validation methods Required Skills: Technical / Analytical Skills: Excellent understanding and experience with application of machine learning concepts and techniques (linear/logistic regression, clustering, classification, PCA, Naive Bayes, association rules, Collaborative Filtering, recommendation techniques etc.) Experience with regression techniques for modeling the relationship between an output variable and several input variables Experience with Big Data technologies Experience with visualization tools like Tableau Experience creating interface specification documents, attribute mapping documents, functional specifications Experience with web scraping Experience with Text Matching applications Nice to have: Understanding of regulatory guidelines (CCAR, Basel) around Model Risk Management Working knowledge of various Fixed Income and Equities products, for example Derivatives, FX and Cash Equities Essential Skills Strong verbal and written communication skills Strong research skills Python, R, SQL, Hive, Spark Statistical analysis: To understand and work around possible limitations in models Being able to develop hypothesis and test the Hypothesis with careful experiments Research and implement data mining machine learning algorithms in supervised and unsupervised learning areas Should have experience with time series modeling Should have experience with optimization approaches Familiarity with the Big Data Ecosystem tools: Hadoop, Hive, Impala, Mahout, Spark(Spark SQL, MLLib),Hbase and be comfortable with the using the tools Strong experience in data manipulation using SQL on Hive/Impala or other Databases Experience in developing and deploying model with Mahout, Spark MLLib is preferable. Must be proficient in programming either R/Python/Scala. Should have experience in Financial services industry -Capital market would be preferable Should have exposure to Data Visualization tools: Tableu(Preferable)/Qlickview/Excel Additional Information All your information will be kept confidential according to EEO guidelines.

What We Need Corpay is currently looking to hire a Data Onboarding Consultant within our Implementations division. This position falls under our Corpay Payables line of business and will be based out of our Brentwood, TN office location. In this role, you will manage critical data activities for Corpay's clients to ensure successful implementation and ongoing client success. This position combines client-facing and internal technical responsibilities. The ideal candidate is one that enjoys working with clients to assist them in navigating complex data landscapes, is analytical in nature allowing them to understand non-uniform data sets from various sources, can drive project success by creating deadlines and holding both internal and external parties accountable to performance, and can balance competing priorities to ensure ultimate success. The ideal candidate is a problem solver, a great communicator, and most importantly takes ownership of their projects and drives them to success. You will report directly to the Manager of Technical Implementations. How We Work As a Data Onboarding Consultant, you will be expected to work from our office in Brentwood, TN. * Company-issued equipment * Formal, hands-on training * Assigned workspace in the Brentwood, TN office Role Responsibilities The responsibilities of the role will include: * Serving as the primary point of client contact for all data services from the sales process through implementation * Working with clients and internal partners to obtain and validate data to be used in data services * Analyzing client data and present findings to improve the results of the data being ingested * Utilizing data cleaning and mapping tools to ingest data into the application * Coordinating the scoping, prioritization, delivery, and, where applicable, ongoing maintenance of client data services (one-time data import, ongoing data integrations) * Acting as the first line of defense for triaging issues related to data imports/data integrations * Working with clients and internal stakeholders to maintain a prioritized queue of data services deliverables * Contributing to the overall strategy for Implementations Qualifications & Skills * 2 - 5 years' experience in managing or working with data (training/education counts) * Comfortable communicating complex information in simple terms * Experience managing projects * Experience working with large, non-uniform, data sets * Experience working directly with clients and prospects to assess needs and define technical solutions * Experience with data mapping and BI tools * While this is not an engineering role, familiarity with engineering tools and practices will be greatly beneficial Benefits & Perks * Medical, Dental & Vision benefits available the 1st month after hire * Automatic enrollment into our 401k plan (subject to eligibility requirements) * Virtual fitness classes offered company-wide * Robust PTO offers including major holidays, vacation, sick, personal, & volunteer time * Employee discounts with major providers (i.e. wireless, gym, car rental, etc.) * Philanthropic support with both local and national organizations * Fun culture with company-wide contests and prizes Our Company & Purpose CORPAY is a global leader in business payments, laser focused on developing smarter ways for businesses to pay their expenses. Since 2000, CORPAY has developed innovative digital solutions that help businesses better track, manage, and pay their expenses. Today, CORPAY is an S&P 500 company with hundreds of thousands of customers using our products in over 100 countries. Companies of all sizes, industries and geographies rely on our product portfolio to manage spending more quickly, efficiently and securely than ever before. We embrace a culture grounded in five key values: integrity, collaboration, innovation, execution and people. These values offer you the opportunity to 'thrive & grow' through career development, volunteer, community, and wellness initiatives. This allows you to create a balance between professional goals and personal achievement. CORPAY is also committed to building and nurturing a culture of diversity, inclusion, equality, and belonging by: * Welcoming people of different backgrounds, cultures, ethnicities, genders, and sexual orientations. * Empowering our people to share their experiences and ideas through open forums and individual conversations; and * Valuing each person's unique perspectives and individual contributions. Embracing diversity enables our people to "make the difference" as CORPAY and its more than 8,000 employees continue to shape the future of global payments. Learn more by visiting ************** or following CORPAY on LinkedIn. Equal Opportunity/Affirmative Action Employer CORPAY is an Equal Opportunity Employer. CORPAY provides equal employment opportunities to all employees and applicants without regard to race, color, gender (including pregnancy), religion, national origin, ancestry, disability, age, sexual orientation, gender identity or expression, marital status, language, ancestry, genetic information, veteran and/or military status or any other group status protected by federal or local law. If you require reasonable accommodation for the application and/or interview process, please notify a representative of the Human Resources Department. For more information about our commitment to equal employment opportunity and pay transparency, please click the following links: EEO and Pay Transparency #LI-SN1 Other details * Job Family General * Pay Type Salary * Employment Indicator Employee Apply Now * Brentwood, TN, USA * Virtual

ATTENTION MILITARY AFFILIATED JOB SEEKERS - Our organization works with partner companies to source qualified talent for their open roles. The following position is available to Veterans, Transitioning Military, National Guard and Reserve Members, Military Spouses, Wounded Warriors, and their Caregivers . If you have the required skill set, education requirements, and experience, please click the submit button and follow the next steps. Premise offers a wide range of dynamic, purpose-driven career opportunities. We are currently looking for a Data Engineerto join our team in Brentwood, TN. About the role: The Data Engineer will be responsible for building, and maintaining scalable data pipelines, managing our azure delta lake architecture, and supporting analytics initiatives across the organization. The ideal candidate will have a strong background in Azure Databricks, data engineering, and develops pipeline. The successful candidate will work closely with our data engineering and data science teams to ensure seamless integration of data pipelines and Lakehouse architecture. This role should ensure coding standard and coding migration to higher environment and CI/CD. Essential Functions: Data Pipeline Development: Develop, and maintain data pipelines using Azure Databricks, Apache Spark, and Python. Collaborate with data engineering teams to integrate data from EPIC, Clarity, and Caboodle and other on-premise source systems to Azure. Ensure data quality, integrity, and security throughout the data pipeline. Automate unit test cases as part of Data Pipeline. Lakehouse Architecture: Contribute to the development and maintenance of our Lakehouse architecture using Azure Databricks and Delta Lake. Ensure data governance and security in the Lakehouse environment Should be able to execute POCs to evaluate new tool, concepts introduced by Azure/ Databricks. Troubleshooting and Optimization: Troubleshoot data pipeline and Lakehouse architecture issues, identifying and resolving bottlenecks and errors. Optimize data pipeline and Lakehouse architecture performance, scalability, cost and reliability. Collaboration and Integration: Collaborate with data science teams to integrate data pipelines and Lakehouse architecture with data science workflows. Ensure seamless data exchange between data engineering and data science teams. Participate in peer review for coding standards. Subject matter expert for PySpark and Scala. Job Requirements: Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. Certifications such as AWS Certified Solutions Architect, Cisco CCNP, Microsoft Azure Solutions Architect, or ITIL preferred. Databricks and Azure certification preferred. 4+ years of experience in Cloud development practice. Strong expertise in cloud platforms (AWS, Azure, GCP), virtualization, and networking. Experience with infrastructure automation tools (Terraform, Ansible, Kubernetes). Preferred Experience: Knowledge on Talend, PowerBI and Qlik Proficiency in Linux and Windows server administration. Solid knowledge of Cybersecurity best practices and disaster recovery planning. Strong leadership experience in managing technical teams and project management skills. Knowledge of log management and monitoring tools (Splunk, Datadog, Prometheus). Familiarity with containerization and microservices.

Special Forces Candidate As a Special Forces Candidate, your office spans the globe, collaborating with foreign governments and tackling missions that redefine the limits of adventure. Joining the ranks of the world's elite force, you will experience mental and physical challenges that test your mettle, all while contributing to a legacy of excellence. Requirements: Attend a 33-week paid training program to gain skills and certifications in parachuting operations, advanced survival training, advanced weapons operations, and physical fitness. If selected for one of four highly sought after specialties, you will additional advanced certifications attending additional full funded training programs. These programs include foreign language skills, specialty training foreign area studies, and advanced cultural expertise. Benefits: Comprehensive Healthcare, Vision, and Dental plans. 30 days paid vacation. 90 days paid paternity and maternity vacation. Comprehensive wellness programs including fitness facility access, nutrition consulting, curated fitness plans, and more. Housing, clothing, and relocation allowance. Tuition assistance. Student loan repayment. Flexible retirement and pension plans. Pay and Promotion: Entry pay and promotions vary based on education level and qualifications. Hiring bonus opportunities available. Specialty bonuses available depending on qualifications and position. Guaranteed promotion opportunities. Additional Career Opportunities: Upon successful completion of first term contract, you are guaranteed up to 5 interviews with your choice 1,200 industry leading organizations including Lockheed Martin, Boeing, and Raytheon. Similar Career Fields Include: Foreign Affairs, Crisis Manager, Intelligence Analyst. About Our Organization: The U.S. Army is wealth of possibilities for your future - whether you are looking to build a meaningful career, continue your education, or start a family, the Army is committed to helping you build the future you are looking for and improve yourself in the process. Be All You Can Be. Now Hiring Full and Part Time Positions. ***Click apply for an Interview***

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. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 7. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.) 8. 4+ 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: 9. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $145,000/year to $204,000/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.

America Midea America Corp. is a U.S. subsidiary within Midea Group, the Fortune 500 giant known for making life easier for millions around the globe. As the world's top maker of home appliances, Midea is proud of its 166,000+ employees and presence in 200+ countries, including here in the U.S. Headquartered in Parsippany, N.J., with an innovation hub in Louisville, Kentucky, Midea America provides practical innovations that surprise and delight, creating moments to cherish at home. Midea's lineup of appliances - from refrigerators to air conditioners, laundry solutions and floor care - are high quality, reliable, and affordable. By thoughtfully engineering performance, convenience, and design into every product, Midea delivers on the promise of every appliance Job Summary We are seeking a driven and detail-oriented Data Scientist to join our Consumer and Market Insights (CMI) team, focusing on laundry appliances. The ideal candidate will play a pivotal role in extracting, analyzing, and interpreting data to inform product strategies and enhance consumer engagement. This role requires expertise in web scraping, data visualization, social media analytics, and close collaboration with the CMI leader to deliver actionable insights. Essential Job Responsibilities Collaborate with design and consumer research teams to develop machine learning models, predictive models, and statistical solutions for laundry appliance products. Develop and maintain web scraping tools to gather consumer feedback from platforms like Amazon, Best Buy, and Google Reviews. Clean and process collected data to identify trends, sentiments, and improvement opportunities. Conduct social media monitoring to track brand mentions, competitor activities, and emerging consumer preferences across various platforms. Aid product improvements and strategic R&D planning by gathering insights and translating data into actionable feedback, presenting these findings to R&D teams. Develop tools to streamline patent searches, focusing on relevant patents based on specific keywords. Create and manage interactive and intuitive dashboards using tools like Tableau, Power BI, or Python to visualize key metrics and consumer feedback and provide clear, actionable insights. Participate in user research activities, such as innovation workshops and ethnographic studies, to gain deeper insights into user behavior. Stay updated with new data science techniques to enhance the understanding of consumer behavior and trends. Assist in the design and analysis of surveys and questionnaires. Integrate data science processes with user research and development workflows. Collaborate with user researchers and cross-functional teams to combine qualitative and quantitative findings into cohesive business strategies. Work closely with the CMI team to interpret data findings and align them with business objectives. Partner with cross-functional teams to develop sales tools derived from large datasets, including sales incentives, competitive analysis, and service quality data. Utilize AI/ML techniques for thematic analysis of large datasets, including consumer reviews. Identify and conduct follow-up research methods, such as surveys and experiments, to validate correlational data. Identify business opportunities to apply data science for process optimization. Engage with customers to discuss product reviews and feedback processes. Ability to travel domestically and internationally to support research and business objectives. Qualifications Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. Strong interpersonal skills with the ability to collaborate with technical and non-technical teams. 1-2 years of experience in data mining consumer product reviews. Proficiency in web scraping tools (e.g., Beautiful Soup, Scrapy, Selenium). Experience with data analysis and visualization tools (e.g., Python, R, Tableau, Power BI, QuickSight). Knowledge of social media analytics tools (e.g., Brandwatch, Sprinklr, Talkwalker) and sentiment analysis. Proficient at data wrangling and organization. Advanced knowledge of statistical analysis, including regression and hypothesis testing. Strong analytical and problem-solving abilities, with attention to detail. Exceptional communication skills, both written and verbal. Ability to synthesize complex research findings into actionable business insights. Preferred Qualifications Master's degree in Data Science, Computer Science or a related field. Experience working with global teams. Background in survey design, administration (Qualtrics, Conjointly) and analysis. Previous experience with Midea or similar companies in the consumer goods and appliance industry. Familiarity with natural language processing (NLP) for sentiment and text analysis.

**_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 (***************************************************************************************************************************