Title: 2026 Football Data Scout This role is considered fully remote: Currently SIS is only cleared to hire remote candidates in AL, AZ, CO, DE, FL, GA, IL, IN, LA, MA, MD, MI, MN, MO, MS, NC, NE, NJ, NV, NY, OH, OK, OR, PA, SC, TN, TX, UT, VA, WA, WI. If you live in any state not listed here, you will need to relocate to one of these states or close to the HQ in Bethlehem, PA Department: Football Reports to: Operations Analyst Position Overview SIS is looking for highly motivated individuals with a desire to work in the football industry. Data Scouts will have a chance to make an immediate impression on the company. Each Data Scout will be collecting data that is directly used by SIS clients for advance scouting and evaluation purposes. Not only will the Data Scouts become more familiar with the strengths and weaknesses of hundreds of college and professional players, but they will also learn the ins and outs of the ever growing football data industry. This position requires very high attention to detail and focus for at least eight hours straight. There will be times when the position will require you to work more than eight hours in a row to get assignments completed on time. We take pride in making the position a great development opportunity for those looking to get their start in the football industry. In addition to gaining invaluable experience watching at least three games a week, we offer introductory classes using the database management language, SQL. We also provide insight and advice from previous SIS Data Scouts who have branched out into a variety of areas in the sports industry. - This role is considered remote. Scout School Led by a former NFL scout, SIS offers Data Scouts the opportunity to learn more about writing scouting reports, learning about the critical factors for each position and what life is like as an NFL scout. Scout School is designed for Data Scouts who are looking to begin their career as a football scout or evaluator. At the end of the season, your scouting reports will be used in the 2025 NFL Draft website. Job Responsibilities Includes (but is not limited to): - Score NFL and college football games using specialized computer software - Review the accuracy and validity of data - Prepare and analyze statistical data for delivery to customers - Assist with additional projects as instructed by full-time staff - Provide administrative support to the full-time staff Qualifications - Demonstrated knowledge of NFL and NCAA rules - Ability to identify and differentiate between players - Computer proficiency and the ability to learn new software - High attention to detail - Football coaching or scouting experience is preferred but not necessary - Must be able to work nights, weekends & holidays Time Frame: - The position begins on Monday August 10th, 2026. This will last through Wednesday, December 2nd, 2026. Compensation: - $12/hour or state minimum wage (whichever is higher) - Data Scouts will earn overtime pay for extra hours. - College course credit will be offered for those interested. Hours: - Typical weekly schedule will consist of 40 hours, with the possibility of more if needed. Network Requirement: - Access to high-speed internet at a minimum of 75mbps to stream and share large video files About Sports Info Solutions Pioneers in the Sports Data Industry SIS was founded on the belief that decision making in sports could be improved and that we could help teams win more games through the use of better data, analytics, and technology. That belief has been validated repeatedly since our founding in 2002 as we continue to revolutionize the way the game is played on and off the field. Company overview Our mission is to enrich and optimize the decision-making process for sports teams, sportsbooks, and sports fans. We are proud to have been leaders in collecting, analyzing and distributing the deepest data sets and insights to professional sports teams across the MLB, NBA and NFL. We are now doubling down on what’s made us successful by further advancing our data, technology, insights and partners as we drive forward the next innovations in Sports Data and Analytics. EEO commitment SIS provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, gender, national origin, age, veteran status, military status, disability, gender identity, sexual orientation, genetic information, or any other characteristic protected by law. In addition to federal law requirements, SIS complies with applicable state and local laws governing nondiscrimination in employment in every location where the company operates. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Abilities required These physical demands are representative of the physical requirements necessary for an employee to successfully perform the essential functions of the job. Reasonable accommodation can be made to enable people with disabilities to perform the described essential functions of the job. While performing the responsibilities of the job, the employee is required to talk and hear. The employee is often required to sit and use their hands and fingers, to handle or feel. The employee is occasionally required to stand, walk, reach with arms and hands, climb or balance, and to stoop, kneel, crouch or crawl. Vision abilities required by this job include close vision, including intensive computer usage. Additional info Sponsorship is not available for this position. Applicants must be currently authorized to work in the United States on a full-time basis. Sports Info Solutions uses E-Verify and is an Equal Opportunity Employer. #LI-DNI

Role Description Une mission attractive sous la responsabilité d’un chercheur IRD, votre mission sera la production des données climatiques à partir des bases de données internationales pour leur application à l’élaboration de scénario d’évolution des plantes. - Compléter des bases de données climatiques disponibles pour une utilisation des acteurs de terrain au Sud en utilisant les nouveaux standards du GIEC sur les niveaux de réchauffement à +2C, +3C. - Apporter le conseil aux utilisateurs qui ont besoin de mettre en œuvre des méthodes et des outils statistiques. - Choisir et appliquer les méthodes statistiques existantes les plus pertinentes sur les corpus de données climatiques. - Développer des programmes spécifiques pour prendre en compte les particularités de l’analyse statistique. - Déterminer les logiciels les mieux adaptés et les plus performants pour l'étude ou le projet en cours. - Participer à la rédaction des rapports et des synthèses de présentation des résultats des analyses statistiques. Qualifications - Analyse statistique et capacité de codage en PYTHON et/ou R. - Familiarité avec les données climatiques modélisées sous différents scénarios d’émission. - Autonomie et rigueur. - Capacité de travail en équipe. - Capacité à communiquer dans un contexte pluridisciplinaire. - Diplôme de niveau 7 (Master 2 ou diplôme d’ingénieur) en statistique ou analyse de données avec une expérience dans l’analyse de données environnementales. Location Localisation : 911 AVENUE D'AGROPOLIS MONTPELLIER Application Elements Documents à transmettre : Pour postuler à cette offre, l'envoi du CV et d'une lettre de motivation est obligatoire.

Scientist III, Data Engineer Location Remote, Massachusetts, United States of America Job Id R-01349037 Job Type Full time Category IT, Data & Tech Remote Fully Remote Title: Scientist III, Data Engineer Location: Remote Massachusetts United States of America Job Description: Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description COMPANY: Thermo Fisher Scientific Inc. LOCATION: 168 Third Ave., Waltham, MA 02451 TITLE: Scientist III, Data Engineer HOURS: Monday to Friday, 8:00 am to 5:00 pm DUTIES: Develop scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity. Own and deliver Projects and Enhancements associated with Data platform solutions. Develop solutions using PySpark/EMR, SQL and databases, AWS Athena, S3, Redshift, AWS APIT Gateway, Lambda, Glue, and other Data Engineering technologies. Write Complex Queries and edit them as required for implementing ETL/Data solutions. Implement solutions using AWS and other cloud platform tools, including GitHub, Jenkins, Terraform, Jira, and Confluence. Follow agile development methodologies to deliver solutions and product features by following DevOps, Data Ops, and Dev Sec Ops practices. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability. Travel: Up to 5% travel required (domestic and international). Can work remotely or telecommute. REQUIREMENTS: MINIMUM Education Requirement: Master’s degree or foreign degree equivalent in Technology Management, Information Technology, Computer Science, or related field of study. MINIMUM Experience Requirement: 3 years of experience as a Data Developer, Data Engineer, or related occupation. Alternative Education and Experience Requirement: Bachelor’s degree or foreign degree equivalent in Technology Management, Information Technology, Computer Science, or related field of study plus 5 years of experience as a Data Developer, Data Engineer, or related occupation. Required knowledge or experience with: Full life cycle implementation in AWS using PySpark/EMR, Athena, S3, Redshift, AWS API Gateway, Lambda, and Glue; Agile development methodologies following DevOps, Data Ops, and Dev Sec Ops practices; ETL Pipelines, GitHub, Jenkins, Terraform, Jira, Bitbucket, and Confluence; Informatica, Databricks, & AWS Glue; Data Lake using AWS Databricks, Apache Spark, & Python; Data visualization tools like PowerBI and Tableau; Data modeling and optimization for OLAP/OLTP systems with Star/Snowflake schemas; Strong knowledge of SQL, query optimization, and performance tuning in Redshift, Snowflake, or Oracle; Experience with CI/CD pipelines for data workflows using Jenkins, GitHub Actions, or AWS CodePipeline; Data governance, cataloging, and lineage using tools such as AWS Glue Data Catalog, Collibra, or Alation; Implementing data security, encryption, IAM policies, and compliance regulatory frameworks; Batch and real-time streaming pipelines using Kafka and Spark Streaming; Managing data governance, access control, and lineage using Databricks Unity Catalog for secure enterprise data sharing; Implementing Delta Lake architecture for ACID transactions, schema enforcement, and scalable data pipelines; Optimizing Delta Live Tables for automated ETL orchestration and reliable data delivery; Ensuring high availability and SLA-driven production support with proactive monitoring, incident management, and root cause analysis; Collaboration with cross-functional teams to translate scientific, laboratory, and business requirements into scalable data solutions. Salary: $161803 to $186000 per year Compensation and Benefits The salary pay range estimated for this position Scientist III, Data Sciences based in Massachusetts is $161,803.00–$186,000.00. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes: - A choice of national medical and dental plans, and a national vision plan, including health incentive programs - Employee assistance and family support programs, including commuter benefits and tuition reimbursement - At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy - Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan - Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards

It’s one thing to deliver a technical project. It’s quite another to delight a customer while doing it.    About Us   Ascent has recently been acquired by Acuity Analytics.  This is both a significant milestone for us and a tremendous opportunity for you.  Acuity Analytics is a business with a strong global reputation, an impressive client base and ambitious growth plans.  We delivers deep insights and domain-led digital transformation to high-growth and heavily regulated organisations.  To our customers, we bring a partnership that provides the talent, technology and capability to enhance performance and operational efficiency. About the role   In this role, you will support the development of a data pipeline that aggregates data from multiple sources and prepares structured inputs for GenAI‑based processing. Skills and Requirements Required Skills - - Develop Python-based connectors to ingest data from APIs and other data sources - Perform data preparation, transformation, and consolidation - Support integration of prepared data into GenAI workflows - Assist with generating summaries and structured outputs via LLMs - Ensure code quality, scalability, and maintainability - Tech stack: - Python development experience - API integration and data engineering - Working with LLMs / GenAI use cases - Cloud-based data & AI architectures (AKS) Why join us People are at the Heart of our Business. By investing in people, we achieve exceptional results for our clients and create new opportunities for our teams to thrive. Check out this page for more details. If you have any questions contact our Talent Acquisition team on ta.admin@acuityanalytics. For more details about life at Ascent, check out our Life Page here. For more details about Acuity Analytics please see here: Read here.