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Job Title: Senior Data Scientist – Product About the Role We are seeking a Senior Data Scientist – Product who brings a strong product mindset to solving high-impact problems with machine learning. You will play a critical role in designing, building, and scaling intelligent systems that power user-facing products. This position is ideal for someone who thrives at the intersection of data science, product management , and engineering excellence . Key Responsibilities Partner with product managers, engineers, and designers to identify opportunities for data-driven product innovation Design and deploy machine learning models with a strong focus on robust feature engineering and real-world applicability Develop end-to-end solutions from hypothesis generation to production deployment, with ownership of experimentation and A/B testing Apply advanced statistical, mathematical, Machine Learning and optimization techniques to solve complex business problems Translate business objectives into data science problems and deliver actionable insights that drive product roadmap Lead model interpretability, monitoring, and retraining strategies to ensure long-term value and performance Qualifications M.S. or Ph.D. in AI, Computer Science, Applied Mathematics, Operations Research, or related field 3+ years of experience in applied data science with a strong track record in product-focused roles Expertise in machine learning , feature engineering , optimization , and statistical modeling Hands-on experience with Python, SQL, and frameworks such as Scikit-learn, XGBoost, PyTorch, or TensorFlow Strong understanding of experimentation design, causal inference, and product analytics Excellent communication skills with the ability to influence cross-functional stakeholders Proven ability to translate product questions into data science solutions with measurable outcomes Bonus Points Experience in operations, e-commerce, marketplaces, recommendation systems, or personalization Knowledge of reinforcement learning or online optimization techniques Familiarity with cloud platforms (AWS, GCP, Azure), ML deployment pipelines and data Platforms like Databricks. Benefits – How We’ll Support You: Numerous development opportunities offered to build your skills Be part of a company with a higher purpose and contribute to making the world a better place Health benefits for you and your family on your first day of employment Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays Excellent parental leave which includes a minimum of 16 weeks for mother and father Future planning with our competitive retirement savings plan and tuition reimbursement program Learn more about our total rewards package here - Corteva Benefits Check out life at Corteva! www.linkedin.com/company/corteva/life Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team. The salary range for this position is $113,000.00 to $142,000.00. This reflects a reasonable estimate of the targeted base salary for this role. This role is also eligible for an annual bonus. Based on factors such as geographic location and candidate qualifications, actual base pay is determined when an employment offer is made. Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.

Landbase leverages the experience of 100+ world class sales professionals and AI to deliver targeted, high-quality leads on autopilot. Our mission is to achieve GTM automation so humans no longer need to work for their software so they can reclaim their day. We're building GTM-1 Omni - the world's first action model purpose built for lead generation. About the Role We're seeking a Data Engineer to design and implement scalable data pipelines that power our AI models and analytics. Required Skills & Experience Design and implement ETL pipelines in PySpark and/or Scala Spark Orchestrate complex data workflows in Airflow Advanced SQL skills and experience with BigQuery Hands-on experience with MongoDB, Elasticsearch, and PostgreSQL Proficiency with GCP Dataproc and cluster optimization Experience handling TB-scale unstructured data Optimize database performance and storage strategies Create and maintain data quality monitoring systems Collaborate with ML Engineers on production model deployment Stay current with emerging AI tools and technologies 3+ years of experience in large scale data engineering Nice-to-Have Qualifications Experience with PyTorch, Hugging Face, or other ML frameworks Background in LLM operations and deployment Familiarity with Ray for distributed computing Experience with real-time data streaming architectures Background in sales/marketing data systems Previous experience in startup or AI-driven environments Benefits & Perks Competitive compensation Comprehensive health benefits Flexible work arrangements Professional development opportunities Exciting work with cutting-edge AI technology Collaborative and innovative work environment Regular team events and gatherings

FloSports leads the way in delivering world-class digital streaming for millions of fans, families, and athletes in underserved sports. Our digital platform unites casual and dedicated spectators alike, offering thrilling live events from around the world with interactive features, real-time analytics, and powerful broadcast technology. As the essential destination for niche sports content, we deliver everything from breaking news and expert commentary to feature films, documentaries, and multi-episodic series. We've revolutionized the global sports media industry by building a diverse team—technologists and wrestlers, creators and cheerleading experts, designers and hockey enthusiasts, communicators and motorsport fanatics, producers and sports fans—all united by our passion to serve underrepresented sports communities. We're creating the ultimate destination for our sports, and we're looking for people like you to join us! THE ROLE: FloSports is seeking a Sr. Data Analytics Engineer to join our high-impact Business Intelligence team. Our team owns company-wide reporting, analytics, and insights, our Snowflake data infrastructure, and our ML/AI models. These include our content valuation model, similar to Netflix’s adjusted view share, and our demand forecasting models that forecast critical financial KPIs, including sign ups, viewership, engagement, and customer lifetime value (LTV). To start, this role will be critical in refactoring and enhancing our existing data infrastructure, delivering value through the introduction of new demand forecasting modules, providing as needed expertise in advancing our A/B and multivariate experiment architecture, and playing a key role in the high value action (HVA) framework and data infrastructure that we’re building and launching in 2025. The ideal candidate will have domain experience in building data infrastructure, data schemas, data modeling, ML/AI models, and ideally some background in running experiments and building HVA frameworks. Bonus points for familiarity with subscription-based DTC businesses, OTT products, and/or SVOD and live event streaming services. RESPONSIBILITIES: Serve as one of our technical leads for our Snowflake data infrastructure, data schemas, data modeling, and high value action infrastructure. Extract, transform, and load (ETL) data from multiple sources, ensuring accuracy, integrity, and consistency. Perform in-depth analysis of financial and operational data, identifying trends, patterns, and anomalies to provide meaningful insights and recommendations Complete the full analytics lifecycle from understanding the business objective and understanding the data to developing automated reporting and visualizations Act as a subject matter expert on internal/external data sources, ensuring anomalies are identified and addressed proactively. Support the data product development for demand forecasting, partnering cross-functionally across Finance, Strategic Finance, Business Intelligence, Rights Acquisitions, Ad Sales, Content, Marketing, and Vertical GMs. Partner on experiment design and conduct causal analyses to provide actionable insights that inform the demand forecasting model(s) and key business decisions. Research, recommend, and learn new analytics tools and platforms Automate existing manual processes and identify areas for further improvements Serve as a thought leader for interactive demand forecasting dashboards that inform key stakeholders about the health drivers for historical performance and serve as a forward-looking evaluator of our programming strategy and execution. Passion about growing Our Sports within the sports media industry and establishing a working knowledge of the key players and their events. KNOWLEDGE, SKILLS AND ABILITIES: BA/BS in Mathematics/Statistics, Finance, Computer Science, Engineering, Operations Research, or other technical field, advanced analytics degrees preferred 5+ years of professional experience as a Business Intelligence Engineer, Data Engineer, Data Analyst or similar role, preferably in a SaaS or subscription-based business. Oversees the entire process of a data project from concept, to requirements gathering, to production ready implementation. Led projects from concept through completion Expert in SQL. Strong background in Python (Excel is a plus), including statistical modeling; experience with data visualization tools, e.g., Tableau, Looker, Domo. Deep understanding of statistical model building and data analyses, such as causal inference and regressions; expertise in numerical algorithms. Experience with experiment design, implementation, analysis, and recommendation for actionable insights. Strong analytical skills for problem solving; can perform descriptive and diagnostic analysis Ability to work collaboratively in a fast-paced, cross-functional environment and manage multiple priorities effectively Ability to use data to translate ambiguous problems into actionable solutions using dataAbility to find answers to ambiguous problems Comfortable working with and querying large datasets, including datasets that some might describe as “messy”. Experience forming effective cross-functional partnerships. Analytical reasoning, intellectual curiosity, and attention to detail for maintaining code and data integrity. Proficiency in communication, particularly communicating complex data concepts, to both technical and non-technical audiences. BONUS POINTS: Built a large portion of a database, ideally a cloud-based database, from the ground up. Experience developing demand forecasting models and/or working in demand planning functions, particularly within a SaaS, subscription, and/or e-commerce business. Experience with Streamlit in Snowflake for turning data and ML models into interactive apps with Python. Familiarity with cloud based analytics and CRM platforms (Salesforce) and data visualization tools (Domo). OUR COMMITMENT TO DIVERSITY: FloSports exists to elevate the communities, athletes, and sports that have too often been overlooked. That mission starts with our own team. We believe that a diverse, inclusive workplace—one where different perspectives are sought out, heard, and valued—is essential to building a company that can truly serve the full spectrum of sports fans. We are committed to creating a fair and equitable environment where people from all backgrounds can thrive. To help mitigate bias and expand opportunity, FloSports uses a blind recruiting process that supports more objective, inclusive hiring decisions. We’re intentional in our practices because we believe the best ideas and innovations come from teams that reflect the diversity of the world around us. OUR BENEFITS: Recognized three years in a row as a Top Workplace by the Austin-American Statesman Flexibility at work - you can take control of your profession and personal schedule All-hands events hosted annually in beautiful Austin, Texas Annual equity awards for all top performers Competitive and comprehensive medical, dental and vision plans Peace of mind through company-paid short-term disability, long-term disability and life insurance Generous 401(K) company match vested immediately Progressive parental leave policies Flexible paid time off Hack-a-thons and a full calendar of team-building and social events Company donation to youth teams and leagues that our employees coach Stocked snack bar, catered lunch and breakfast tacos every week

Position Summary... What you'll do... What you'll do... Cortex Team is Walmart's core A.I. conversational platform, powering the vision of delivering the worlds best personal assistants to Walmart’s customers, accessible via natural voice commands, text messages, rich UI interactions, and a mix of all of the above via multi-modal experiences. We believe conversations are a natural and powerful user interface for interacting with technology and enable a richer customer experiences both online and in-store. We are building and designing the next generation of Natural Language Understanding (NLU) services that other teams can easily integrate and leverage, and build rich experiences: from pure voice and text shopping assistants (Siri, Sparky), to customer care channels, to mobile apps with rich, intertwined, multi-modal interaction modes (Me@Walmart). Interested in diving in? We need passionate and seasoned NLP data-scientists to help us improve and evolve our capabilities, taking into account the full conversational context, multi-modal interactions, and an ever increasing list of use cases. Come at the right time, and you will have an enormous opportunity to make a massive impact on the design, architecture, and implementation of an innovative, mission critical product, driven by data-science, used every day, by people you know, and which customers love. As part of the emerging tech group, you will also have the additional opportunity of building demos, proof of concepts, creating white papers, writing blogs, etc. Minimum Qualifications Master's degree or certification in Machine Learning, Computer Science, Engineering, Mathematics, Statistics or any other related field. Extensive experience with NLU/NLP, more recent deep ML models (e.g., Transformers, BERT, Llama, GPTs, Gemini) and safe fine-tuning of these. Extensive experience in designing, developing and deploying end-to-end Generative AI systems using transformer-based LLM architectures (both open source and close source) Experience with Python; solid knowledge SQL. Hands on experience with classical ML models, test/train/evaluation metrics, key parameters/techniques that affect model performance Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets. Ability to take a project from scoping requirements through actual launch. A continuous drive to explore, improve, enhance, automate, and optimize models and products. Experience analyzing conversational data to identify patterns and conducting error/deviation analysis; passion for fixing issues in the data and finding the optimal representation. Excellent oral and written communication skills. Preferred Qualifications PhD in a relevant field (Machine Learning, Computer Science, Engineering, Mathematics, Physics, Statistics or a related field) Experience developing multimodal solutions for Generative AI and related applications at scale Exposure to real-world, production grade agentic systems. Familiarity with LLMs serving optimizations and multi-LoRa Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations Strong attention to detail and exceptional level of organization Proven ability to achieve results in a fast paced, highly collaborative, dynamic work environment Hands-on expertise in many disparate technologies and the full model lifecycle, typically ranging from data pipelines, data extraction, model training, model serving, labeling tools, ML-ops, ad-hoc tooling and all points in between. At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. ‎ ‎ ‎ You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. ‎ For information about PTO, see https://one.walmart.com/notices . ‎ ‎ Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. ‎ Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. ‎ For information about benefits and eligibility, see One.Walmart . ‎ The annual salary range for this position is $143,000.00-$286,000.00 ‎ Additional compensation includes annual or quarterly performance bonuses. ‎ Additional compensation for certain positions may also include: ‎ ‎ - Stock ‎ ‎ Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 680 West California Avenue, Sunnyvale, CA 94086-4834, United States of America

*We are open to supporting 100% remote work anywhere within the continental US* The Team Our Health Engineering Solutions (HES) team works side by side with customers to articulate a vision for success, and then make it happen. We know success doesn't happen by accident. It takes the right team of people, working together on the right solutions for the customer. We are looking for a seasoned Senior Data Engineer who will be a key driver to make this happen. Our team supports the vision to improve patient quality care and consumer decision-making by hospital providers across the country, by collecting, computing, and publicly reporting outcomes-based hospital quality measure data. This contract will serve to develop a human-centric reporting system that allows refinement, filtering, and data comparison, as well as the ability to view supplemental information. Leveraging modern technologies, DevOps practices, and cloud-based infrastructure, our dynamic work environment involves multiple project teams collaborating toward a common vision of delivering an integrated solution. The Work We are looking for a talented Data Engineer who is eager to apply computer science, software engineering, databases, and distributed/parallel processing frameworks to prepare big data for the use of data analysts and data scientists. If you have experience with Apache Parquet, Apache Spark, AWS Glue, AWS Athena, Databricks and want your work to contribute to systems that collect healthcare data used by hundreds of thousands of daily users, we want to (virtually) meet you! You will work on projects that support the Centers for Medicare and Medicaid Services (CMS) as we develop a next-generation analytics and reporting system that directly impacts healthcare quality. You will use Spark, Apache and other AWS technologies to build data processing pipelines that derive information from large sets of government data. This program allows for the continued quality of clinicians’ work according to CMS standards. We are a collaborative company, so we want you to use your knowledge of Spark to teach others, inform design decisions, and debug runtime problems. Tools & Technology SQL Python PySpark Spark Databricks PostgreSQL Jenkins AWS Glue AWS Athena Git and GitHub Confluence Key Responsibilities and Job Duties Design and build data processing pipelines using tools and frameworks in the AWS ecosystem. Analyze requirements and architecture specifications to create a detailed design document. Responsible for data engineering functions including data extract, transformation, loading, integration in support of modern cloud computing platforms like AWS. Work with huge data sets and other Data Engineers and/or Scientists on analyzing this data using various algorithms. Implement and configure big data technologies as well as tune processes for performance at scale. Design and build ETL pipelines to automate the ingestion and data migration of structured and unstructured data. Work with DevOps engineers on CI, CD, and IaC (Continuous Integration, Continuous Delivery, and Infrastructure as Code) processes; read specifications and translate them into code and design documents; and perform code reviews and develop processes for improving code quality. Be proactive and constantly pay attention to the scalability, performance, and availability of our systems. Responsible for deploying the developed solution in AWS environment and examine the results for accuracy. Write complex unit and integration tests for all data processing code Perform code reviews and develop processes for improving code quality Required Qualifications Bachelor’s degree required (degree in Computer Science or related field preferred) 5+ years of experience with full lifecycle Data Engineering 2+ years of experience with Agile methodology 2+ years of experience performing data pipeline and data validation Candidate must be able to obtain and maintain a Public Trust Clearance U.S. Citizenship or Green Card is required due to federal clearance requirement Preferred Qualifications MS and 5+ years of technical experience Experience working in the healthcare industry with PHI/PII Federal Government contracting work experience Expertise working as part of a dynamic, interactive Agile team Strong written and verbal communication skills Prior experience working remotely full-time #DMX-HES Working at ICF ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer . Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy. Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist . All information you provide will be kept confidential and will be used only to the extent to provide needed reasonable accommodations. Read more about workplace discrimination righ t s or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act. Candidate AI Usage Policy At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted . This policy is in place to maintain the integrity and authenticity of the interview process. However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com . We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed. Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position. The pay range for this position based on full-time employment is : $89,203.00 - $151,646.00 Nationwide Remote Office (US99)

Data & Analytics Manager Job Summary: The Data & Analytics Manager is responsible for leading the design, development, and delivery of enterprise data and analytics capabilities in a commercial insurance environment. This role oversees integration of data from core systems like Guidewire, drives the use of modern cloud tools including Microsoft Fabric, and ensures high-performance reporting through SSIS, SSRS, Power BI, and Cognos. In addition to analytics leadership, this role manages database administrators (DBAs) responsible for maintaining secure, reliable, and optimized data environments that support business operations. The ideal candidate brings a deep understanding of insurance data and a strong background in Agile delivery practices. Key Responsibilities: Leadership & Strategy Define and lead Canal’s enterprise data and analytics roadmap, aligning with business priorities in insurance underwriting, claims, and finance. Lead and grow a high-performing team of BI developers, data engineers, analysts, and DBAs. Drive Agile practices through sprint planning, prioritization, retrospectives, and regular delivery cycles. Promote a data-driven culture with self-service analytics via Power BI and Cognos platforms. Data Integration, Modeling & Engineering Oversee data sourcing from Guidewire (PolicyCenter, BillingCenter, ClaimCenter) and other core systems. Lead the development of ETL/ELT pipelines using SSIS and Microsoft Fabric Pipelines. Architect scalable Lakehouse and data warehouse models in Microsoft Fabric and Azure. Ensure data lineage, quality, and compliance aligned with regulatory standards. Reporting & Analytics Delivery Deliver executive and operational dashboards using Power BI, SSRS, and Cognos. Standardize KPIs and reporting structures for loss ratios, claim trends, policy retention, premium analysis, and other key insurance metrics. Support ad hoc requests and exploratory data needs with governed datasets. Promote data literacy and analytics adoption across the enterprise. Database Administration Oversight Manage DBA team responsible for maintaining enterprise databases (SQL Server, cloud databases, Fabric). Ensure database availability, performance tuning, indexing strategies, backup/recovery, and data security. Provide guidance on data architecture, storage optimization, and disaster recovery planning. Enforce database change controls and compliance with internal policies and external regulations. Operational & Agile Excellence Lead Agile ceremonies, backlog prioritization, and team velocity monitoring. Collaborate with business product owners and technical leads for continuous value delivery. Ensure quality through code reviews, peer testing, and technical documentation. Stay current with advancements in Microsoft Fabric, Azure, BI tools, and insurance data trends. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Analytics, Information Systems, or related field. 5+ years of progressive experience in insurance data and analytics leadership, including managing cross-functional technical teams. Hands-on experience with Microsoft Fabric, including Lakehouses, Pipelines, Warehouses, and Power BI integration. Strong technical skills with SSIS, SSRS, Power BI, Cognos, and SQL Server. Experience with Guidewire data models and ETL/integration workflows. Proven experience managing or working closely with DBAs, with knowledge of database tuning, replication, security, and recovery strategies. Solid understanding of cloud-based data platforms (preferably Azure). Demonstrated success in Agile delivery environments. Preferred Skills: Experience with Jira, Azure DevOps, or other Agile tools. Knowledge of data privacy regulations (e.g., HIPAA, PII) relevant to insurance data. Experience with predictive modeling or actuarial support. Familiarity with modern data governance frameworks.

iHeartMedia Current employees and contingent workers click here to apply and search by the Job Posting Title. The audio revolution is here – and iHeart is leading it! iHeartMedia, the number one audio company in America , reaches 90% of Americans every month -- a monthly audience that’s twice the size of any other audio company – almost three times the size of the largest TV network – and almost 4 times the size of the largest ad-supported music streaming service. In fact, we have: More #1 rated markets than the next two largest radio companies combined; We’re the largest podcast publisher , with more monthly downloads than the second- and third-largest podcast publishers combined. Podcasting, the fastest-growing new media, today has more monthly users than streaming music services or Netflix; iHeart is the home of many of the country’s most popular and trusted on-air personalities and podcast influencers , who build important connections with hundreds of communities across America; We create and produce some of the most popular and well-known branded live music events in America, including the iHeartRadio Music Festival, the iHeartRadio Music Awards, the iHeartCountry Festival, iHeartRadio Fiesta Latina and the iHeartRadio Jingle Ball Tour; iHeartRadio is the #1 streaming radio digital service in America; Our social media footprint is 7 times larger than the next largest audio service; and We have the only complete audio ad technology stack in the industry for all forms of audio , from on demand to broadcast radio, digital streaming radio and podcasting, which bring data, targeting and attribution to all forms of audio at an unparalleled scale. As a result, we’re able to combine our strong leadership position in audience reach, usage and ad tech with powerful tools and insights for our sales organizations to help them build success for their clients at a more efficient cost than any other option. Because we reach almost every community in America, we’re committed to providing a range of programming that reflects the diversity of the many communities we serve – and our company reflects that same kind of diversity. Our company values stress collaboration, curiosity, welcoming dissent, accepting mistakes in the pursuit of new ideas, and respect for everyone. Only one company in America has the #1 position in everything audio: iHeartMedia! If you’re excited about this role but don’t feel your experience aligns perfectly with the job description, we encourage you to apply anyway. At iHeartMedia we are dedicated to building a diverse, inclusive, and authentic workplace and are looking for teammates passionate about what we do! What We Need: The B2B Marketing Data Analyst is a hands on, insights driven contributor who turns data into clear, actionable guidance as part of iHeartMedia’s B2B Marketing and Go To Market (GTM) teams. This role supports a high-visibility team responsible for driving revenue through data-backed marketing strategy, B2B campaign optimization, and sales enablement. The analyst partners with cross functional stakeholders to track performance, uncover market opportunities, and helps inform optimization of B2B marketing initiatives and events and sales packages and products that keep iHeartMedia at the forefront of the media industry. Candidates must hold a bachelor’s degree and bring a minimum of 4+ years of data analysis experience, ideally in an ad agency or media company environment. What You'll Do: Lead & Opportunity Analytics Mine Inside Sales lead data to surface high-potential accounts, segments, and geographic pockets. Experience with A/B testing (CTA, creative copy, etc.) and optimization. Build scoring models and dashboards that help Sales prioritize outreach and improve conversion rates. Strategic Market Intelligence: Continuously monitor industry trends, competitive moves, and macro‑economic signals to highlight threats and whitespace for B2B Marketing, GTM and sales leadership. B2B Marketing & GTM Dashboards Design, maintain, and iterate on Tableau dashboards that measure the impact of B2B campaigns, sales packages, and ad products/solutions. Translate complex data into actionable insights and internal business cases that quantify revenue impact and surface optimization opportunities. Performance Reporting & Optimization Deliver monthly and ad hoc data performance summaries for senior marketing and sales leaders. Monitor performance of B2B marketing campaigns (e.g., trade shows, email outreach, etc.) and compile weekly/monthly reports. Identify potential testing plans and data-driven optimizations to improve lead quality, funnel velocity, and ROI. Data Stewardship & Collaboration Ensure data accuracy by partnering with Sales Ops and Finance on source‑of‑truth alignment. Champion a culture of data literacy, providing training and documentation that empower non‑technical teammates to self‑serve insights. What You'll Need: Candidates must hold a bachelor’s degree and bring a minimum of 4+ years of data‑analysis experience, ideally in an ad‑agency or media company environment. Analyst candidates should be fluent in or familiar with the following platforms: Salesforce, Tableau, Google Analytics, social platform analytics, ZoomInfo, Eloqua. What You'll Bring: Respect for others and a strong belief that others should do this in return Full proficiency and understanding of job function Ability to work independently with minimal guidance In-depth knowledge of key business drivers and how this impacts your team Experience in team and project management for mid-sized projects Ability to recognize and mitigate risk Confidence to solve complex problems using multiple sources of information Growth mindset and desire for continued knowledge sharing and learning Understanding of impact of your own decisions Ability to identify new opportunities for continued improvement across business Comfort acting as a trusted advisor for colleagues with less experience Ability to manage complex and confidential information and to influence others to build consensus across all levels Location: New York, NY: 125 West 55th Street, 10019 Position Type: Regular Time Type: Full time Pay Type: Salaried Benefits: iHeartMedia’s benefits offering is flexible and offers a variety of choices to meet the diverse needs of our changing workforce, including the following: Employer sponsored medical, dental and vision with a variety of coverage options Company provided and supplemental life insurance Paid vacation and sick time Paid company holidays, including a floating holiday that enable our employees to celebrate the holiday of their choosing A Spirit day to encourage and allow our employees to more easily volunteer in their community A 401K plan Employee Assistance Program (EAP) at no cost – services include telephonic counseling sessions, consultation on legal and financial matters, emotional well-being, family and caregiving ​A range of additional voluntary programs, such as spending accounts, student loan refinancing, accident insurance and more! We are accepting applications for this role on an ongoing basis. The Company is an equal opportunity employer and will not tolerate discrimination in employment on the basis of race, color, age, sex, sexual orientation, gender identity or expression, religion, disability, ethnicity, national origin, marital status, protected veteran status, genetic information, or any other legally protected classification or status. Non-Compete will be required for certain positions and as allowed by law. Our organization participates in E-Verify. Click here to learn about E-Verify.

About Delphina Today’s Data Scientists are in pain - spending their time manually wrangling data, building models through slow trial and error, taking on painstaking rewrites for deployment, and dealing with countless other frustrating bottlenecks. And the tools they are using for much of this work – e.g. Jupyter notebooks and Pandas – are over a decade old. We founded Delphina to change this: our mission is to help the world get better at using data to understand the present and predict the future. Delphina is an AI Agent for Data Science: leveraging a combination of generative AI, large scale optimization, and specialized infrastructure to automate the time-consuming but necessary tasks to build powerful ML models quickly; Delphina will identify relevant data, clean it, train models, and even productionize pipelines. Our team has previously led large data science and machine learning teams (covering both applications and infrastructure), built startups, and created successful tools for enterprise ML. We're backed by top AI investors, including Fei-Fei Li, Radical VC, and Costanoa VC. This role is based in San Mateo, CA. We are in person 2-3 days per week and offer relocation assistance to new employees. In select cases we offer remote options. What you’ll do We're looking for an experienced Data Infrastructure Engineer to join as a Member of our Technical Staffat Delphina. As one of our key early hires, you will partner closely with our early team on the direction of our product and drive critical technical decisions. You will have broad impact over the technology, product, and our company's culture. You will be responsible for: Developing solutions that will orchestrate and support massive quantities of data through stages like ingestion, indexing/mining, transformation, machine learning, online deployment Developing platforms that enable scientists, researchers, developers to run ML jobs easily and quickly at scale using the latest technologies Defining a consistent continuous integration/deployment model that will encourage cross-functional development teams to self-service application unit testing, deployment and operations Influencing and lead cross-functional initiatives that will align the team towards commonly used technologies and methodologies What we’re looking for Hands on experience in building distributed systems, including real-time streaming and batch data processing Proficiency in multiple programming languages relevant for such systems (e.g. Python, Rust, C++, Go, Java) Knowledge about what it takes to deploy and operate high availability production systems in the cloud Experience designing service-oriented architectures and leveraging various data store technologies Energy and ambition to build a product that is surprisingly good in surprising ways Intrinsic desire to always be improving our product and yourself. Growth mindset to both stay ahead of the curve and pick up whatever knowledge you're missing to get the job done Nice to haves Experience working directly on machine learning – either by partnering with scientists and engineers who are building models or by building models yourself Experience leading cross-functional teams through ambiguous problems Benefits Equity in the company Medical, dental, and vision insurance 401k Unlimited PTO Top of the line Apple equipment Free lunch in the office

At January, we're transforming the lives of consumers by bringing humanity to consumer finance. Our data-driven products help financial institutions streamline their collections, offering borrowers straightforward and compassionate solutions to regain financial stability and control over their lives. We're not just expanding access to credit – we're restoring dignity and giving millions of people the chance to achieve financial freedom. About the Role As a Senior Data Scientist, Product Analytics, you'll play a significant role in shaping product direction through data analysis, visualization, modeling and experimentation. Working closely with product managers, your actionable insights will directly affect how our users get out of debt and back to financial stability. What You’ll Work On You’ll act as a strategic partner to product managers at January, enabling them to continuously make data-driven decisions, run experiments, and evaluate how our most important success metrics are changing over time. You will become a subject matter expert in our data, making impactful recommendations to improve our product and processes. You’ll also contribute to building January’s reputation as a data-focused collection agency that operates with sophistication and intentionality. You’ll work closely with the operations team, ensuring that our client success managers are informed and equipped to answer any question and handle any client conversation with ease. What You Bring to the Table Have at least 2 years experience using SQL Have used languages like Python or R to conducting statistical analysis Have a medium to advanced understanding of statistics as they relate to experimentation Are able to present data in a compelling way to empower our product and engineering teams to make better decisions. Are able to think strategically and consider the impact of your work on January’s success as a whole Are able to work independently: given context and some initial guidance, you’re able to do a deep dive and make insightful recommendations for the business. We are currently hiring for this position in our New York office. As a New York City-based company, we are dedicated to transparent, fair, and equitable compensation practices that reflect our commitment to fostering an environment where all team members are valued and supported. We encourage individuals from all backgrounds to apply. We are an equal opportunity employer committed to diversity and inclusion in the workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, age, veteran status, or any other legally protected characteristic.

Job Description: Essential Duties/Responsibilities: Gather, clean, and analyze structured and unstructured data from various sources. Develop and manage consolidated reports related to financials, sales performance, cost structures, and e-commerce analytics Monitor key performance indicators (KPIs) to track efficiency, profitability, and customer trends. Develop dashboards, reports, and data visualizations to support business insights. Optimize inventory forecasting for HVAC equipment, parts, and materials. Identify operational inefficiencies and propose data-driven solutions for process improvements. Maintain data integrity, organization and governance, for accurate reporting and security best practices. Utilize data tools like Excel, Power BI, SQL, Python, or other analytics platforms for deeper insights. Collaborate with business stakeholders to translate goals into data requirements and deliver insights through reporting and dashboards. Partner with teams to influence operational and financial decisions with data-drive recommendations. Working Conditions: Onsite, Columbus, OH Open office environment Domestic travel as needed Minimum Requirements: Bachelor’s degree in Data Analytics, Business Intelligence, Computer Science, or related field. 2+ years of experience in data analysis, business intelligence, or financial modeling. Proficiency in Excel, Power BI, SQL, Python, or other data visualization tools. Ability to translate complex data findings into actionable business insights. Excellent problem-solving, analytical, and communication skills. Experience with forecasting models and revenue trend analysis is a plus. Ability to work outside of normal business hours as needed or as special projects/ demand Preferred Knowledge, Skills and Abilities: Knowledge of HVAC, construction and or services business operations, service workflows, and inventory management. Experience working in cloud environment (databricks, data accelerators) Experience integrating multiple data sources into one environment Experience in applying advanced analytic methodologies to business problems Knowledge of HVAC industry trends and data applications in residential construction. Physical Requirements: Must be able to lift/move up to 20 pounds as needed. Must be able to wear required personal protective equipment (PPE) including but not limited to hard hat, safety glasses, ear plugs, masks/respirators, reflective safety vests, gloves and safety toe, construction-grade work boots when needed. Must be able to adhere to long periods of standing, walking, or sitting. Ability to hear, understand and distinguish speech and/or other sounds to operate phones or other equipment safely. With natural or corrected vision, able to see and focus for close, distance, peripheral vision with normal depth perception. Ability to express or exchange ideas by means of the spoken word to impart oral information to others. Ability to enter text or data into a computer by means of a traditional keyboard or 10-key numeric keypad. Airtron is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Industry/Sector Not Applicable Specialism Managed Services Management Level Manager Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data and Analytics - Business Intelligence team you lead the development and implementation of data engineering solutions, leveraging your proficiency in AWS services, Snowflake, and data transformation tools. As a Manager, you guide and inspire your team to deliver top-quality data solutions, making sure strategic planning and mentoring junior staff. You are responsible for managing client accounts, embracing technology and innovation, and maintaining the utmost standards of integrity and authenticity in every deliverable. Responsibilities - Lead the design and execution of data engineering solutions - Utilize AWS services and Snowflake for data transformation - Inspire and guide team members to achieve excellence - Oversee client account management with a focus on innovation - Foster a culture of integrity and authenticity in projects - Mentor junior staff in strategic planning and development - Embrace and implement new technologies to enhance solutions - Deliver top-notch data solutions What You Must Have - Bachelor's Degree - 5 years of experience What Sets You Apart - Demonstrating significant abilities in incident management - Managing change and problem management effectively - Utilizing ITIL processes and service management tools - Skilled in AWS services like EC2, S3, and Lambda - Specializing in Snowflake for data warehousing solutions - Utilizing DBT for data transformation and modeling - Knowledgeable in data pipeline tools like Apache Airflow - Skilled in Python for data processing and automation - Specializing in SQL skills for complex queries and optimization Travel Requirements Up to 60% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Benefits: Pension 401(k) Dental insurance Health insurance Paid time off Vision insurance Primary Purpose of the job: Computer systems/data base management that will ensure the highest quality, uninterrupted service to participants in both the Health and Pension Trust Funds. The Jr. Systems and Data Associate will assist with planning, organizing, coordinating, controlling and managing all aspects of routine computer system operation and peripherals. Daily Job Duties : 1. Eligibility file run for Beacon 2. Demographic corrections on the system based on produced reports 3. Assist with tasks within each department 4. Handle system issues 4. Research work for various reporting Weekly Job Duties: 1. Positive Pay files for Disability 2. Upload Claims reports from Beacon into U drive for printing and distribution (Friday) 3. COBRA termination file (approx. every two weeks on 1st and 16th of the month) Monthly Job Duties: 1. Month End Reports – COBRA Eligibility loss report 2. ACH to ABOC – monthly pension benefit 3. Positive Pay file to ABOC for pension 4. Add/Drop Report for eligibility 5. Eligibility file for UHS using File Zilla 8. Active working turning 64 during the calendar year 9. Mail merge labels for Newly Eligibles Quarterly – Assist with the following tasks: 1. Death Verification Reports to PBI (retirees and deferred vested) 2. Create CMS eligibility on 22nd 3. Produces FICA reports for selected employers, created on Insight and emailed Annual – Assist with the following tasks. 1. Produce reports for CPA for annual audits 2. Actuarial data for consultant 3. Mailing lists (Welfare SAR, Annual Funding, Pension Dept. letters) 4. Year End Processing – IRS filings Pension and Welfare 1099R’s and 1095B’s 5. SSA to CPA 6. CAA RxDC report Occasional Job Duties: 1. Additional reporting for pension and/or other departments 2. Produce mailing labels and lists as required (or data file to be sent to mailing service) 3. Generate reports for Fund Manager and/or other departments as needed 4 Create/modify Insight reports Flexible work from home options available. Compensation: $65,000.00 - $70,000.00 per year SEIU Local 1 & Participating Employers Health Trust The Health Trust provides complete medical, vision, dental, wellness, and prescription drug benefits to approximately 13,000 participants and their dependents. SEIU Local 1 & Participating Employers Pension Trust The Pension Trust provides monthly benefits to approximately 6,000 retirees and beneficiaries.

Job Description This position will follow our hybrid work model, we expect the selected candidate to be in office 2-3 days a week at one of the following office locations: St. Petersburg, FL; Summary: The Enterprise Data & Analytics Analyst works as part of the Enterprise Data Team and will be responsible for developing Data Integration solutions in support of a critical data platform. The analyst plays a key role in the journey of Raymond James to develop a leading Wealth Management Platform. This position will have extensive contact with multiple application development teams and other shared services teams. The analyst will be responsible for the deliveries of the analyst team with respect to requirements and high-level design of the data domains. The position is based out of our headquarters in St. Petersburg, FL. Responsibilities: Creates detailed business requirements for functional (e.g., business processes, rules) and non-functional (e.g., data, security) capabilities. Gathers and interprets information from multiple sources (including databases, interviews, etc.); Resolve complex analytical challenges, independently analyze information; and make recommendations based on analysis. Provides support for application development teams including documenting business processes. Build strong working relationships with teams, stakeholders, and senior management. Incorporate needs, wants, and goals from different business unit perspectives into project specifications. Translates technical concepts to a business audience and business information to a technical audience. Attend to detail while maintaining a big-picture orientation. Solve complex problems and model the business and financial impact of proposed scenarios. Participates in developing estimates, project schedules and implementation plans for technical solutions. Interpret and apply policies and identify and recommend changes. Performs other duties and responsibilities as assigned. Skills: Business analysis, data analysis, project management. – Required Understanding or skilled in SQL , at an intermediate level. Business Intelligence skills, such as the creation of Tableau, ThoughtSpot or Qlik reports is preferred. Product Management experience is preferred. Conducting interviews with customers and subject matter experts. Managing technology products through their lifecycle. Motivate and influence others to achieve desired outcomes without organizational authority. Partner with other functional areas to accomplish objectives. Vendor management and project management is desirable Financial services experience or Equities / Investment Banking knowledge is preferred. Education Bachelor’s: Computer Systems Analysis, High School (HS) (Required), Master's: Computer and Information Science Work Experience General Experience - 3 to 6 years Certifications Travel Less than 25% Workstyle Hybrid At Raymond James our associates use five guiding behaviors (Develop, Collaborate, Decide, Deliver, Improve) to deliver on the firm's core values of client-first, integrity, independence and a conservative, long-term view. We expect our associates at all levels to: • Grow professionally and inspire others to do the same • Work with and through others to achieve desired outcomes • Make prompt, pragmatic choices and act with the client in mind • Take ownership and hold themselves and others accountable for delivering results that matter • Contribute to the continuous evolution of the firm At Raymond James – as part of our people-first culture, we honor, value, and respect the uniqueness, experiences, and backgrounds of all of our Associates. When associates bring their best authentic selves, our organization, clients, and communities thrive. The Company is an equal opportunity employer and makes all employment decisions on the basis of merit and business needs. #LI-SA1

IMC is currently looking for a Data Analytics Core Engineer to join our established Data Analytics Team responsible for building and supporting analysis tools at scale across the organization. Ensuring stable operations at scale is critical as many areas of our business rely on our platforms to perform mission critical analysis for daily trading operations. A DevOps mindset with an awareness of operational excellence and a strong research mindset with an engineering first approach are critical for success in this role. Your Core Responsibilities: Gain strong understanding of various business requirements in order to develop and implement new analytical tools Utilize research and development skills and robust engineering practices to develop and implement stable and scalable distributed and streaming data systems for a variety of scenarios Manage implementation and scaling of analytics tools from POC to large scale distributed production systems running both on prem and in the cloud Your Skills & Experience: 5+ years of experience as a python developer; deep familiarity with the language and ways of working in OO, functional and async code 3+ years of experience with container-based applications and orchestration systems, preferably Docker and Kubernetes Previous experience working in a CI/CD driven DevOps environment in which you have had ownership of the complete lifecycle of projects from inception through operational stability Cloud experience with major providers such as AWS and GCP and experience provisioning and maintaining cloud systems using tools such as Terraform or Open Tofu is a major advantage Understanding of data stores and technologies and when to apply them, including the use of Relational, NoSQL and Key-Value style systems Experience working with Apache Big Data formats and platforms including Hadoop, Iceberg, Parquet, Arrow is a plus Familiarity with distributed and batch computing paradigms on systems such as Dask, Ray.io, Spark, Slurm and similar Familiarity with streaming based processing systems such as Kafka, Flink, Beam and similar Familiarity with the ML Space and Vectorized computation platforms such as TensorFlow & xgboos The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information. Salary Range $150,000 — $210,000 USD About Us IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.

Industry/Sector Not Applicable Specialism Deals Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In Deals; data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Deals (M&A) Tech & Data team you are expected to build tech-enabled business solutions and communicate with both technologists and business partners. As a Senior Associate you are expected to analyze complex problems, mentor others, and maintain rigorous standards. You are expected to navigate multiple engagements, manage stakeholder expectations, and leverage data visualization tools and programming languages to derive insights. Responsibilities - Build tech-enabled business solutions - Communicate effectively with technologists and business partners - Navigate multiple engagements and manage stakeholder expectations - Leverage data visualization tools and programming languages - Mentor and guide junior team members - Maintain exceptional standards in deliverables - Analyze complex problems and provide actionable insights - Build and nurture meaningful client relationships What You Must Have - Bachelor's Degree in Accounting, Economics, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Finance, Business Administration/Management, Management Information Systems - 3 years of experience in Deals (M&A) Tech & Data . What Sets You Apart - Master's Degree preferred - Consulting Industry experience - Certifications in database programming such as Oracle, MS SQL Server, etc. and/or data visualization certifications such as Tableau and PowerBI - Certifications within cloud technology platforms such as AWS, Azure, GCP, etc. - Certifications within predictive modeling and/or machine learning platforms such as Python, SAS, etc. - Experience with relational database models and writing SQL queries - Proficiency with data visualization tools (e.g. QlikView, Tableau, Power BI) - Understanding of key financial statements and accounting principles - Critical thinking and problem-solving capabilities - Ability to navigate multiple engagements and competing priorities Travel Requirements Up to 60% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. The salary range for this position is: $84,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

As the Vice President of Data & Business Intelligence, you will lead the enterprise-wide data strategy that powers informed decision-making, operational efficiency, and scalable business growth at Jazwares. Overseeing Data Engineering, Analytics Engineering, BI, and Data Governance, you will ensure our data is high-quality, secure, and accessible across all functions. In this strategic and hands-on role, you'll collaborate with executive leadership and business units to embed data as a core asset, driving digital transformation, data product innovation, and the continued advancement of our analytics capabilities. Reporting to the EVP of Global Technology, your leadership will be instrumental in shaping the future of data at Jazwares. What will you do: Define and implement a comprehensive enterprise data strategy aligned to business priorities. Lead the design and management of scalable data infrastructure, including modern data platforms, pipelines, and analytics tooling. Oversee the delivery of self-service BI solutions, KPIs, dashboards, and enterprise reporting that empower business teams. Establish and manage a robust data governance framework, including data quality, lineage, stewardship, and access control. Enable and advocate for a data-driven culture across departments, driving data literacy, education, and responsible data use. Partner with Finance, Strategy, Operations, IT, and Product teams to deliver trusted, reusable data products and insights. Ensure data protection and regulatory compliance across all platforms, including GDPR, CCPA, and internal controls. Champion automation, CI/CD, and Infrastructure-as-Code practices within the data and analytics functions. Set standards for data modeling, versioning, and documentation to support collaboration, reuse, and scalability. Monitor trends in data technology and practices, bringing innovation and continuous improvement to the team. Directly manage a multi-disciplinary team of data engineers, analytics engineers, BI developers, data analysts, and data governance professionals. Provide strategic leadership, mentorship, and performance management to direct reports and broader team members. Participate in succession planning and talent development efforts to grow future data leaders. Manage department budgets, vendor relationships, and resource planning to support organizational needs. Lead cross-functional data initiatives and steering groups with senior business and IT stakeholders. Manages People: Yes This role is responsible for all aspects of performance management for their team, including managing and mentoring assigned team, fostering professional growth and high standards. What we are looking for Bachelor's degree in a scientific, computing, or numerical discipline preferred, or commensurate mix of experience and education. Master's degree in a scientific, computing, or numerical discipline preferred, or commensurate mix of experience and education. Professional certifications in data management, cloud, or agile (e.g., dbt Analytics Engineering Certification, AWS Certified Data Analytics, Databricks Certified Data Engineer Professional) preferred. 10+ years of experience in data, analytics, or technology roles 5+ years of experience leading data teams across multiple disciplines (engineering, BI, governance, etc.). Demonstrated success delivering enterprise-wide data solutions in a cloud environment. Experience in consumer products, retail, manufacturing, or ecommerce sectors. Experience in the Toy sector is highly preferred. Previous experience reporting to executive leadership or serving on a senior technology leadership team is preferred. Experience implementing data product frameworks or hub-and-spoke data operating models is preferred. Deep knowledge of modern data stack technologies (e.g., dbt, SQL, Python, Spark, cloud platforms such as Snowflake or databricks). Good understanding of business intelligence tools (e.g., Tableau, Power BI, AWS QuickSight). Strong leadership and communication skills; ability to influence at all levels of the organization. Experience with data governance frameworks and enterprise data quality practices. Strong understanding of data protection principles, including encryption, access control, data retention, and compliance with privacy regulations (e.g., GDPR, CCPA). Proficient in cloud-based data architecture (preferably AWS) and infrastructure automation practices. Proficient in code management, testing, and release automation practices. Skilled in translating business needs into scalable technical solutions. Ability to build and maintain a high-performing, collaborative, and inclusive team environment. Results-oriented with strong project management and organizational skills. Experienced operator of Agile methodologies in the context of data development (with experience working in JIRA). Multilingual is a plus Working Conditions Environment: Office Extreme Exposures: None Schedule: Typically requires regular office hours, however, may require calls with global counterparts outside of regular office hours Physical Requirements: Must be able to sit for long periods of time Travel Required: National or international travel is often required This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee, but provides the primary duties and responsibilities of the role. Duties, responsibilities, and activities may change, or new ones may be assigned at any time with or without notice. What we offer: The base salary may vary based on experience, role tenure, performance, industry, and location. Eligibility for the annual performance incentive may apply. Jazwares is a multi-state employer, so the salary range may not apply to other states. Our benefits package includes basic medical insurance that is 100% company-paid for employees and their children, employee basic life and AD&D insurance, a 401(K) retirement program with Jazwares matching up to 4% of pretax or post-tax deferrals, short and long-term disability, and tuition reimbursement. Our work environment provides a flexible work schedule that includes a Monday through Thursday on-site, with an optional WFH on Fridays, up to 20 workdays fully remote each year, and Time Off for vacation and sick leave. Through Jazwares Cares, you will have the opportunity to volunteer for up to 16 hours a year on community service projects. Working at Jazwares At Jazwares, we believe an innovative idea can come from anywhere and anyone. Through our three pillars, we foster innovation and encourage creativity in every area of our business. Passion : Our conviction and enthusiasm show in our products, relationships, and commitment to our community. Collaboration : We share one vision worldwide, constantly striving to improve and innovate together. Humility : We recognize the value in others and treat everyone with respect. Our strength lies in our people and talent. Don't miss out on this extraordinary opportunity to be part of the fastest-growing toy company in the industry. Connect with us today, and let's shape the future of play together! JAZWARES is an equal opportunity employer and does not discriminate in employment on the basis of race, color, sex, religion, national or ethnic origin, citizenship status, ancestry, disability, age, military status, marital status, sexual orientation, or any other characteristic protected by law. Jazwares is committed to providing reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Who We Are Jazwares, a Berkshire Hathaway company, is a leading global toy manufacturer with a robust portfolio of owned and licensed brands. Founded in 1997, Jazwares celebrates imaginative play with a progressive focus on identifying new and relevant trends to transform into high-quality products for consumers of all ages. Jazwares engages consumers through innovative play experiences with popular brands such as Squishmallows™, Pokémon™, Hello Kitty™, Star Wars™, Disney™, BumBumz™, and Adopt Me™. In addition to toys, offerings include virtual games, costumes, and pet products. Headquartered in Plantation, Florida, Jazwares has offices worldwide and sells its products in over 100 countries. For more information, visit www.jazwares.com and follow us on LinkedIn, X, Instagram, and Facebook

Why Shiftsmart We’re building the Amazon of labor. We’re a labor platform pairing end-to-end workforce management technology with a rapidly growing global network of 5M flexible workers to create scalable labor solutions for the largest companies and government agencies in the world like Circle K, Pepsi, Walmart, Starbucks and more. Our unique business model fractionalizes jobs down to shifts and makes it easy for workers to work across multiple companies through a digital marketplace. We’re one of the fastest-growing startups in the country. We’ve grown 2-3x each year since we started, paid over $130M in wages to hourly workers, and raised $120M+ from top-tier investors including D1 Capital & Imaginary Ventures… and we’re only getting started. Mission: We are seeking a highly skilled and experienced Senior / Staff Data Engineer to join our Core Platform Engineering team. As a founding member of this team, you will be a key contributor to every critical decision, and responsible for driving the design, development, and governance of Shiftsmart's data. Your expertise in software engineering, data systems, and data governance will play a critical role in building scalable and efficient data platforms and tools while ensuring data integrity and compliance. This is a unique opportunity to make a significant impact on our organization, contribute to the success of our team, and champion data governance practices. This role is open to fully remote although our HQ is based in New York City Outcomes: The problems you will solve Technical Leadership: Provide technical leadership and guidance in designing and implementing data solutions that meet business requirements and align with data governance principles. Solution Development: Collaborate with stakeholders to understand product and business needs, and translate them into scalable and reliable data systems and tools, while ensuring data quality, privacy, and compliance. Data Governance: Champion and enforce data governance practices, including data lineage, metadata management, data quality controls, and privacy regulations. Data Architecture: Design and develop large-scale data systems, including databases, data warehouses, and big data platforms, with a strong focus on data governance and compliance requirements. Software Engineering: Apply software engineering best practices to build robust and maintainable data solutions, ensuring code quality, performance, and scalability in line with data governance guidelines. Data Integration: Collect and integrate data from various sources to create a unified and accurate source of truth for financial and compliance domains, while adhering to data governance policies. Performance Optimization: Optimize data processing and query performance while ensuring adherence to data governance SLAs. Automation and Efficiency: Drive automation initiatives by developing scripts, utilities, and frameworks to streamline data processes, improve efficiency, and enforce data governance practices. Collaboration and Mentoring: Collaborate with cross-functional teams, mentor junior engineers, and foster a culture of data governance and compliance awareness within the team. Innovation and Continuous Improvement: Stay updated with the latest industry trends and technologies in data engineering and data governance, evaluate new tools and techniques, and propose innovative solutions to enhance data systems, processes, and governance practices. Documentation and Knowledge Sharing: Maintain comprehensive documentation of data solutions, processes, best practices, and data governance frameworks, and actively share knowledge with the team. Competencies: Who you are Experience : 8+ years of experience as a software engineer, with a strong focus on data engineering and large-scale data systems. Technical Expertise : Proficiency in technologies such as MongoDB Atlas, Google Cloud Platform (GCP), BigQuery, Prefect, Typescript, and Python. Experience with additional data technologies and tools is a plus. Data Governance : Strong understanding of data governance principles, regulations, and industry best practices, with practical experience in implementing and enforcing data governance frameworks. Data Architecture : Solid understanding of data architecture principles and proven experience in designing and developing scalable data systems, while considering data governance requirements. Software Engineering Skills : Excellent programming skills, with expertise in building robust and scalable software solutions using modern software engineering practices in alignment with data governance guidelines. Problem-Solving Abilities : Analytical mindset with the ability to understand complex business or technical problems and propose effective data solutions, considering data governance and compliance aspects. Leadership Skills : Demonstrated ability to provide technical leadership, mentor junior engineers, and drive successful outcomes in a collaborative team environment, with a focus on data governance excellence. Communication Skills : Strong verbal and written communication skills to effectively convey complex technical concepts Education: Bachelor’s or master’s degree in computer science, engineering, or a related field Compensation philosophy To provide greater transparency we share base salary ranges, which are based on role and level benchmarked against similar stage, high growth companies. Offers are determined based on multiple factors including skills, work experience, and relevant credentials. In addition to competitive salaries and meaningful equity we offer the following benefits: Comprehensive healthcare coverage: We cover 100% of employee premiums for medical, dental, and vision care (60-75% for dependents) 401(k) match program: We match 100% on the first 3% of your contributions and 50% on the next 2% for a maximum match of 4% Generous, fully paid parental and family leave policies Pre-tax commuter benefits Collaborative office with fully stocked kitchen @ 1 World Trade in Manhattan Equal opportunity employer Shiftsmart is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Operating Principles @ Shiftsmart Inspired by Leadership Principles @ Amazon Execution Is Binary We #GetShiftDone. We take immense pride in both the quality of our work and our relentless determination to deliver on our commitments. If we say we are going to do something, we do it. We own the outcome with an unstoppable mindset through the finish line and are impatient to move the ball forward. This means we work really hard, execute with urgency, and ruthlessly challenge timelines for anything important. As a result, we do not defer responsibility to other teams or individuals. Instead, we take the problem as far as we can and only when needed ask others for help. Each time a crisis or opportunity emerges we take the hill as one team, because we are allergic to the words “it can’t be done” . Missionaries, Not Mercenaries We before me. We believe in our mission to build a better world for workers. We understand why our work matters and take seriously how it impacts our customers and our partners. This belief permeates everything we do from the strategic to the mundane. We are energetic, ambitious, and want to win. We constantly raise the standards for ourselves and everyone around us. We show up for our customers, our partners, and most importantly our teammates, and make every effort to build lasting relationships with each of them. We do not measure success based on our titles or the size of our empires. This also means we put the needs of the business before the details of our job descriptions. Rather than fight for a bigger piece of the pie, we fight to grow the entire thing and recognize this is how to grow our careers too. Inputs > Outcomes We work really hard. Fundamentally changing how labor works is not easy. It often requires long days, late nights, and weekends to deliver on our commitments. We lean into this challenge. We focus on the process. We think in terms of value chains and appreciate that a bad process with a good outcome is simply dumb luck. We lead with data. We use facts, not fiction, to build narratives and make decisions. To do this we prepare written memos in advance and resist the urge to engage in endless water cooler what ifs, because we value the time and attention of our teammates. We hire and develop the best. When we decide to hire a new team member, we do so because we believe they will increase the talent density on our team. We view ourselves as leverage maximizers rather than inconvenience reducers and strive to increase the output of everyone we interact with. Honesty Over Harmony We share the truth even when it is painful. We do not, however, share the truth callously to hurt people’s feelings or make them look bad. We also assume positive intent. If someone is not delivering in a way that we need, we ask them and tell them before assuming the worst. We embrace mutual feedback. As people leaders we care more about our team’s growth and success than how much others like us. As individuals we seek, accept, and apply feedback. We do not give or take feedback personally because we understand it enables us to learn and grow. We tell the truth to ourselves. We reject a pollyannaish view of our world. Instead if something isn’t going well that we are responsible for, we call it out. And when someone calls out their own truth that may be less optimal, we don’t punish them for it. We have the meeting in the meeting. If something is broken or we disagree, we call it out and say something in the moment even if it feels uncomfortable to do so. This means that if something is broken, we do not just accept it and complain later. Invent & Iterate We are inventors @ heart. We categorically reject the phrase “that is how it’s always been done” , and constantly discover new and better ways to do more with less. This means we are resourceful and often do things that don’t scale, only to create ways to scale them later. We’re builders. We think BIG. At every level of the company, we embrace big, hairy, audacious, and transformative goals. We fear lack of progress and incremental thinking more than failing to deliver or falling short of an audacious goal. We believe courage means to try without fear and learn without ego. We do not let perfect get in the way of better. When faced with the choice we prioritize delivering something, even if imperfect, over endless debate and alignment. We embrace good mistakes.

Why Work at Clarke We have met today's energy needs while planning for tomorrow's for over 100 years. Beginning with the first modern generator, the Rehlko Automatic Power & Light, launched in 1920, Rehlko has been an innovative leader in energy resilience. Our product range includes engines, generators, power conversion, UPS systems, EV components and electrification solutions, microgrid controls and management, clean energy solutions, and much more that serve a broad spectrum of OEM, residential, industrial, and commercial customers. Our priorities are global: the stability from steady energy sources and reliable back-ups. The power to be able to harness energy, and the freedom of not being dependent on an aging centralized grid. The confidence that clean energy solutions offer when it comes to a sustainable world, and the commitment to keep innovating towards greater impact. Why You Will Love this Job : Reporting to the Project Director, the Project Manager – Data Center Power Generation will be responsible for planning, organizing, and managing assigned data center power generation projects, including Jenbacher engine installations and balance of plant (BOP) infrastructure, ensuring successful completion on time, within budget, and to the satisfaction of the client and Clarke Energy. Specific responsibilities Day-to-day management of complex data center generation projects, team coordination, subcontractor oversight, and maintaining strong client relationships. Lead and manage cross-functional project teams for assigned data center power generation projects, including Clarke Energy engineering staff, subcontractors, and site personnel. Conduct routine site walks and leadership meetings to ensure safety compliance and real-time schedule alignment. Manage overall performance and delivery of projects against contractual timelines, scope, and quality standards. Organize and facilitate regular internal coordination meetings and one-to-one sessions with key team members to monitor progress, resolve issues, and keep the project on track. Provide training and mentorship opportunities for team members to improve performance and project delivery capabilities. Liaise with data center clients and developers to interpret project goals, resolve issues, and advise leadership on contractual deviations. Negotiate and agree on project milestones, critical path activities, and commercial terms with client representatives. Develop and manage detailed construction and commissioning schedules using tools such as Microsoft Project or Primavera P6. Partner with the Finance Director to forecast and track project costs, payment milestones, and revenue recognition aligned with contract obligations. Ensure all projects are executed in strict compliance with Health, Safety, Environmental (HSE), and Quality standards. Assign and manage resources internally and subcontracted—to maintain project momentum and achieve quality benchmarks. Source, evaluate, and manage vendor and subcontractor agreements to ensure value, reliability, and compliance with project requirements. Monitor progress at all stages of construction, mechanical/electrical installation, commissioning, and client handover—taking corrective actions as needed. Maintain proactive communication with clients, updating progress, mitigating risks, and ensuring high satisfaction. Provide regular reporting to the Project Director and stakeholders, including risk assessments, progress metrics, and issue resolution. Requirements: Degree in Engineering discipline or minimum 8 years of power generation or data center construction experience. Proven experience managing large-scale, multi-million-dollar engineering or EPC projects. Demonstrated knowledge of HSE, Quality, and Commissioning protocols. Strong understanding of the power generation sector, including reciprocating engine systems. Proficient in MS Office Suite and scheduling/project controls software. PMP Certification or equivalent project management qualification (preferred). Experience with Procore, Primavera P6, or similar project tracking software. Experience in multi-engine containerized solutions and utility interconnect processes. Deep understanding of data center construction practices and power generation systems (e.g., Jenbacher engines). Familiarity with BOP systems, MEP integration, and data center commissioning. Budget management and financial reporting experience for complex projects. Working knowledge of contract law, construction claims, and commercial conditions. Demonstrates reliability, integrity, and professionalism at all times. Committed to building a culture of teamwork, performance, and accountability. Highly customer-focused with the ability to maintain trust and credibility under pressure. Adaptive and hands-on problem solver, focused on solutions rather than obstacles. Strong planning and prioritization skills to manage complex workflows. High attention to detail and strong decision-making capabilities. Confident communicator with the ability to influence across technical and executive teams. Resilient, composed, and assertive—able to handle difficult conversations and situations professionally. Commercially aware acts to protect Clarke Energy’s financial and reputational interests. This position is based in Waukesha, WI with a hybrid work arrangement. Candidates must be open to national travel as needed for the role. Applicants must be authorized to work in the US without requiring sponsorship now or in the future. The salary range for this position is $130,000 to $145,000. The specific salary offered to a candidate may be influenced by a variety of factors including the candidate’s experience, their education, and the work location. Available benefits include medical, dental, vision & 401k. About Us Rehlko proudly offers a rich history steeped in creativity and commitment to our associates and communities, along with competitive benefits and compensation. Our Purpose—Creating an energy resilient world for a better future—and Values: Curiosity, Trust, Pace, and Excellence, are important cultural components that shape the way we work and relate to one another. Learn more about Rehlko at http://www.rehlko.com/who-we-are . In addition to the investment in your development, Rehlko offers a benefits package including a competitive salary, health, vision, dental, 401(k) with Rehlko matching, and more!? Rehlko is an equal opportunity employer that prohibits discrimination and will make decisions regarding employment opportunities, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination, without regard to race, creed, color, ethnicity, religion, sex, pregnancy, childbirth, or related medical conditions, genetic information, age, national origin, citizenship, ancestry, caste, mental or physical disability, marital or familial status, sexual orientation, gender identity or expression, genetic information, political belief or affiliation, union membership status, military status, veteran status, or any other characteristic protected by national, state, local, or other applicable laws. Americans with Disabilities Act (ADA) It is the policy of Rehlko to comply with all applicable provisions of the Americans with Disabilities Act (ADA) and corresponding national, state, local, or other applicable laws. Rehlko will not discriminate against any qualified associate or applicant with respect to any terms, privileges, or conditions of employment because of a person's physical or mental disability. Rehlko will provide a reasonable accommodation to associates or applicants with disabilities, in accordance with applicable laws. If you have a disability and require an accommodation in the application process or during the course of employment, please contact EnergyJobs@rehlko.com. Rehlko is an equal opportunity/affirmative action employer.

Company Cox Communications, Inc. Job Family Group Data Intelligence & Science Job Profile Sr Data Scientist Management Level Individual Contributor Flexible Work Option Hybrid - Ability to work remotely part of the week Travel % No Work Shift Job Description CCI CORPORATE SERVICES LLC Senior Data Scientist Job Description : Senior Data Scientist positions offered by CCI Corporate Services LLC (Atlanta, Georgia). Participate in initiatives to understand, contextualize, and solve the most challenging problems in Cox’s analytical portfolio. Engage in requirement and design discussions to distill business needs into business requirements which enable analytics for new business initiatives and KPIs. Understand business problems and participate in the design of end-to-end analytics use cases. Coordinate with business technical leads to implement reusable and robust solutions. Apply strong expertise in machine-learning, data mining, and information retrieval to design, prototype and build the next generation analytics engine and services. Collaborate with A+I leadership and engagement teams to present solutions and insights to business. Help maintain and track project goals and road maps. Collaborate with software and data engineers to implement and deploy scalable solutions. Develop complex models and algorithms that drive innovation throughout the organization. This may include initiatives in understanding our Products, Operations, Footprint, Supply Chain. Engage with junior team members and provide constructive critique on specific projects. Utilize frameworks in AWS for transitioning analytics solutions at different maturity levels between data science and operational teams. Follow data engineering best practices with considerations for high data availability, computational efficiency, cost, and quality. Minimum Requirements : Requires a bachelor’s or foreign equivalent degree in Supply Chain, Data Science, Analytics, Statistics, Computer Science, or a related field and 4 years of experience in the position offered or 4 years of experience working in the supply chain data analytics domain. Also requires 4 years of experience: using operations, technology and analytics focused reporting; programming with SQL and Python programming languages; building or implementing supply chain planning analytical models in Python/R, Anaplan, O9, Kinaxis, or Blue Yonder; analyzing supply chain data to identify and develop actionable and measurable business KPIs; implementing interactive business dashboards for leadership using Tableau or PowerBI; working with program management tools and Agile and Scrum frameworks; implementing production-grade supply chain planning and optimization analytics tools; and mentoring junior technical and analytical professionals to deliver business facing outcomes. In lieu of a bachelor’s degree in the aforementioned fields and 4 years of experience as stated, the employer will accept a master’s or foreign equivalent degree in the aforementioned fields and 2 years of experience as stated, or a Ph.D. or foreign equivalent degree in the aforementioned fields and experience or graduate-level coursework as stated. Position reports to Atlanta, GA office. Telecommuting permitted in accordance with company policy, but must live within commuting distance of stated office. Compensation includes a base salary of $123,242- $135,525. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program. The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company’s needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave. #GMREQ About Us Cox Communications is all about creating moments of real human connection; and for employees, that’s true both in the workplace and in the problems we solve for customers. From building advertising solutions to unleashing IoT technologies to creating an exceptional experience for customers in our retail locations and online, we’re creating a world that is smarter and more connected. Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page. Cox is an Equal Employment Opportunity employer – All qualified applicants/employees will receive consideration for employment without regard to that individual’s age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Cox provides reasonable accommodations when requested by a qualified applicant or employee with disability, unless such accommodations would cause an undue hardship.