Senior Data Scientist Jobs in El Paso, TX

The primary responsibility involves leading and participating in multi-disciplinary projects aimed at providing business solutions to a diverse set of problems ranging from, but not limited to, production automation/optimization, drilling and completion process optimization, back-office process improvement and automation, dashboard generation and deployment, and computer vision aided operations. Additionally, the Data Scientist will contribute to the adoption of new technologies and best practices for analytical workflows. The ability to work well on a team and in support of core business functions will be critical to the success of this role. Minimum Qualifications Master's or Bachelor's degree in Data Science, Computer Science, or related field 8 years of relevant experience Proven experience in data analytics and management of large datasets Proficiency in Python and data mining tools Strong interpersonal and collaborative skills Demonstrated ability to work in a team-oriented environment Excellent presentation skills Ability to work in a fast-paced and fluid environment; flexible with the demands of a growing company Ability to meet deadlines Preferred Qualifications Master's degree or PHD or certification in Data Science or Data Analytics 10 years of relevant experience Familiarity with additional programming languages (SQL, R, C++, etc.) Previous Oil and Gas operator experience Exposure to Petroleum Engineering and Geoscience workflows Exposure to the energy sector, particularly unconventional exploitation programs Candidate must be local to the Houston, TX area. This position is hybrid onsite 3 days per week.

About Neudesic Passion for technology drives us, but it's innovation that defines us . From design to development and support to management, Neudesic offers decades of experience, proven frameworks and a disciplined approach to quickly deliver reliable, quality solutions that help our customers go to market faster. What sets us apart from the rest, is an amazing collection of people who live and lead with our core values. We believe that everyone should be Passionate about what they do, Disciplined to the core, Innovative by nature, committed to a Team and conduct themselves with Integrity. If these attributes mean something to you - we'd like to hear from you. Role Summary Neudesic is currently seeking a Senior Data Scientist for our Data & AI Practice. This role requires the perfect mix of being a brilliant technologist and also a deep appreciation for how technology drives business value. You will have broad and deep technology knowledge and the ability to architect solutions by mapping client business problems to end-to-end technology solutions. Demonstrated ability to engage senior level technology decision makers in data management, real-time analytics, predictive analytics and data visualization is a must. To be successful, you must exhibit strong leadership qualities necessary for building trust with clients and our technologists, with the ability to deliver ML/DL projects to successful completion. You will partner with solution architects to drive client success by providing practical guidance based on your years of experience in data management and visualization solutions. You will partner with a diverse sales unit to professionally represent Neudesic experience and ability to drive business results. In addition, you will assist in creating sales assets that clearly communicate our value proposition to technical decision makers. Requirements: At least 3+ years of hands-on mathematical modeling experience in business environment Bachelor's degree in quantitative field like Computer Science, Engineering, Business Analytics, Statistics, Mathematics or related field required. Advanced degree is a strong plus Experience with Databricks is required Experience in R/Python and SQL Knowledge of statistical, data mining, machine learning(ML and MLOps), large language model(LLM) and AI techniques (regression, decision trees, clustering, neural networks, and deep learning frameworks, etc.) Strong SQL skills and proven experience in working with large datasets and relational databases Preferred Qualifications Experience in Hadoop, Spark, and cloud platform experience Experience in working with big data tools/environment, e.g. Hadoop Ecosystem (write complex HQL query, automate production pipeline, etc.), Spark, is a strong plus Experience with data visual analysis and BI tools like Tableau and Power BI Proven experience in working with cloud computing platforms particularly Azure is a strong plus Distinctive communications skills and ability to communicate analytical and technical content in an easy-to-understand way Ability to tell stories and make recommendations with data exploratory/visual analysis Intellectual curiosity, along with excellent problem-solving and quantitative skills, ability to disaggregate issues, identify root causes and recommend solutions Result-driven achievers and proven leaders with the ability to inspire others, build strong relationships, and create a true followership Strong people skills, team-orientation, and a professional attitude More about our Predictive Enterprise Service Line: The digital business uses data as a competitive differentiator. The explosion of big data, machine learning and cloud computing power creates an opportunity to make a quantum leap forward in business understanding and customer engagement. The availability of massive amounts of information, massive computing power and advancements in artificial intelligence allow the digital business to more accurately predict, plan for and capture opportunity unlike ever before. The predictive enterprise service line the evolution from using data strictly as a reporting mechanism of what's happened to leveraging the latest in advanced analytics to predict and prescribe future business action. Our services include: · Data Management Solutions: We build architectures, policies, practices and procedures that manage the full data lifecycle of an enterprise. We bring internal and exogenous datasets together to formulate new perspectives and drive to data-thinking. · Self-Service Data Solutions: We create classic self-service and modern data-blending solutions that enable end-users to enrich pre-authored analytic reports by blending them with additional data sources. · Real-Time Analytic Solutions: We build real-time analytics solutions on data-in-motion that eliminate the dependency on stale and static data sets resulting in the ability to immediately query and analyze diverse data sets. · Machine Learning Solutions: We build machine-learning solutions that support the most complex decision support systems Neudesic also offers professional development and training for our Consultants. This includes opportunities to gain new technical certifications, develop professionally and grow within the company. Accommodations currently remain in effect for Neudesic employees to work remotely, provided that remote work is consistent with the work patterns and requirements of their team's management and client obligations. Subject to business needs, employees may be required to perform work or attend meetings on-site at a client or Neudesic location. Phishing Scam Notice Please be aware of phishing scams involving fraudulent career recruiting and fictitious job postings; visit our Phishing Scams page to learn more. Neudesic is an Equal Opportunity Employer All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Neudesic is an IBM subsidiary which has been acquired by IBM and will be integrated into the IBM organization. Neudesic will be the hiring entity. By proceeding with this application, you understand that Neudesic will share your personal information with other IBM companies involved in your recruitment process, wherever these are located. More Information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here: ***************************************************

: Our client manages a large portfolio of companies and has a large focus on upholding integrity and being held accountable to the highest ethical standards. They are committed to fostering a culture of open communication, teamwork, and personal development. ESSENTIAL FUNCTIONS of Data Science-Machine Learning role: Design, train, and implement machine learning algorithms Build, deploy, and maintain machine learning algorithms end to end. Designs machine learning and advanced analytics solutions, algorithms, and cloud architectures needed to satisfy product features and functionality defined by product owner and other stakeholders in a production environment Will be working in software development life cycle. Assists in integrating subsystems such as data pipelines, AI/ML algorithms, API interfaces into end-user facing products. Working on daily scrums and supporting Scrim Master. Creates detailed documentation which describes methodology, relevant instructions, and test results SUPERVISORY RESPONSIBILITIES May oversee other data science workers or contractors at times. Leading and managing data science and ml projects. SOFT SKILLS Proven track record of leading cross-functional teams to successfully deliver complex data-driven projects. Fantastic problem-solving and analytical skills, with the ability to translate complex technical details into understandable business insights. Can see the overall picture and understand alternative approaches. Strong communication skills with technical and non-technical stakeholders. CERTIFICATES, LICENSES, REGISTRATIONS* Relevant certifications such as Microsoft Certified: Azure Data Scientist Associate or AWS Certified Machine Learning are advantageous. Desired Skills and Experience -Bachelor's degree in a related discipline at minimum with 4 years of related experience. -The right candidate could also have a different combination, for example the candidate could have a masters degree with 2 years' experience; a Ph.D. and up to 1 year of experience; or 8 years' experience in a related field -Proficient in Python, machine learning libraries & frameworks (TensorFlow, PyTorch, scikit-learn) -Familiar with data processing and visualization tools (SQL, Tableau, Power BI). -Expertise in advanced analytical techniques (descriptive statistics, machine learning, optimization, pattern recognition, cluster analysis, etc.) -Experience with Time-Series Forecasting Methods, Regression Models, Clustering/Dimensionality Reduction -Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark). -Solid understanding of ML life cycle. -Experience in CI/CD Pipelines. Benefits: Health, Dental, and Vision Insurance 15+ Days of PTO Annually Educational Assistance available Annual bonus 401(k) Matching Program

Are you a passionate and skilled data scientist with a focus on healthcare analytics? If so, we have an exciting opportunity for you! Our esteemed client, a leading healthcare analytics provider based in Dallas, Texas, is seeking a Senior Data Scientist specializing in Artificial Intelligence. This role offers a competitive salary ranging from $130,000 to $175,000, along with an opportunity to make a significant impact in the healthcare industry. Core Responsibilities: Lead the development of advanced algorithms and predictive models to improve patient outcomes. Collaborate with cross-functional teams to implement AI solutions in healthcare settings. Analyze large datasets to derive actionable insights for healthcare providers. Communicate findings and recommendations to stakeholders effectively. Use cloud platforms, such as Azure and AWS, to create structured data analytics processes and AI modelling. Mentor junior data scientists and contribute to knowledge sharing within the team. In this pivotal role, you will be at the forefront of healthcare innovation, utilizing your expertise to drive data-driven decisions that enhance patient care. Much of the technology is focused on developing automated decision making processes, improving diagnostic capabilities, facilitating early identification and intervention, alongside predictive modelling of wider data sets. All of which is aimed at improving and saving lives. The ideal candidate will possess a strong background in machine learning, statistical analysis, and programming languages such as Python and Python libraries, including Numpy and Scikit-learn. A Masters or PhD in data analytics, machine/deep learning, programming or a similar field will be considered. A proven track record of working with healthcare data and a deep understanding of the healthcare landscape will set you apart. If you are ready to take your career to the next level and make a difference in the healthcare industry, we encourage you to apply! Please send your resume and a cover letter highlighting your relevant experience to our recruitment team at **************************. Join us in transforming healthcare through the power of data! Please Note: This client does not provide work permit sponsorship. All candidates must be US citizens or have permanent resident status.

We are seeking a highly skilled and experienced Senior Data Scientist with a specialization in AI/ML Engineering to join our dynamic Data Science and AI team. In this role, you will be instrumental in transforming data into actionable insights and innovative solutions that drive our business strategy forward. You will leverage advanced machine learning, deep learning, and neural network techniques to solve complex business challenges, collaborating closely with cross-functional teams to design, develop, and deploy scalable AI-driven models and algorithms. This position offers the opportunity to be at the forefront of AI/ML advancements, applying your expertise to real-world industrial analytics. Key Responsibilities Solution Development: Engage in the ideation, prototyping, and implementation of new AI/ML solutions to meet emerging business requirements. Machine Learning Pipelines: Design, develop, and implement end-to-end machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment. Deep Learning Models: Develop, train, and optimize deep learning models using neural network architectures (e.g., CNNs, RNNs, Transformers, GANs) and frameworks such as TensorFlow, Keras, or PyTorch. Apply these models to solve complex problems in areas like computer vision, natural language processing (NLP), and time-series forecasting. Collaboration: Work closely with data architects, data engineers, and software developers to ensure effective data collection, processing, and storage. Collaborate with external partners, research institutions, and subject matter experts to gather domain-specific knowledge and datasets. Exploratory Data Analysis: Perform exploratory data analysis to identify patterns, generate insights, and communicate findings to stakeholders. Model Optimization: Optimize model performance by addressing issues such as overfitting, underfitting, and bias, ensuring scalability and performance in production environments. Mentorship: Mentor junior data scientists in model development, data handling, and ethical considerations in AI/ML practices. Continuous Learning: Stay abreast of the latest advancements in machine learning and AI research, applying new methods to enhance model performance and scalability. Desired Skills and Experience Education: Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field with 5+ years of relevant experience. Technical Proficiency: Expertise in Python and proficiency in machine learning frameworks (TensorFlow, PyTorch, scikit-learn). Experience with cloud platforms such as Azure, AWS, or Google Cloud for deploying big data and ML solutions. Deep Learning Expertise: Extensive hands-on experience in applying deep learning techniques and neural networks to real-world problems, particularly in industrial analytics. Proven ability to develop, train, and optimize models for high-impact applications such as image recognition, NLP, and multimodal modeling. Analytical Skills: Strong problem-solving, critical thinking, and analytical capabilities. Experience with both relational and non-relational databases, time-series data, and data visualization techniques. Communication: Excellent verbal and written communication skills with the ability to convey complex technical concepts to non-technical stakeholders clearly and effectively. Collaboration: A strong team player mindset capable of working collaboratively within diverse teams and contributing to an inclusive work environment. Continuous Learning: A pronounced passion for continuous learning and staying ahead in AI/ML fields, with enthusiasm for applying new technologies to solve real-world problems. Why Join Us: Join our cutting-edge Data Science & AI team and contribute to the future of AI/ML technology! In this role, you'll leverage Azure to drive innovation and operational excellence in our AI/ML initiatives. Here's what you can expect: Be at the forefront of AI/ML advancements, applying your skills to solve real-world problems. Collaborate with a talented team of Data Scientists, ML Engineers, and cloud experts. Work in a fast-paced environment that fosters continuous learning and growth. Make a significant impact on the company's success through the power of AI/ML.

Only W2 candidates are accepted for this role. Hybrid role- 3 days onsite- Midtown NYC or Austin, TX MUST HAVE-CAPITAL MARKETS/QUANT EXPERIENCE, Long Projects/Good Tenure and Local id not bill. Job Description: • In terms of experience junior or mid (as long as they have the hard skills) • No prior knowledge of financial products or experience is required • They just have to be a self-starter, able to work well on their own with specific direction/guidance minimal hand-holding the most important thing is the tech skills Data Scientist / Quant Soft skills · Curiosity and analytical mindset · Ability to learn new concepts and domains quickly · Versatility to work in a partial greenfield environment · Comfortable working with a broad scope with a geographically distributed team · Able to work independently on a wide range of data engineering and analytical tasks Hard skills · Very strong python with good code hygiene · Experience developing and testing data processes e.g. ETL, scraping, transformation etc. · Experience exploring and working with new datasets, assessing data quality and exploring for valuable insights - preferably with financial or time-series datasets · Familiarity with orchestration tools e.g. Apache Airflow · Good understanding of cloud solutions - we are AWS based. · Experience working with distributed compute frameworks to handle large data volumes e.g. Spark · Experience building visuals for expert and non-expert audiences - preferably using plotly/dash · Good source control practices and some experience with CI/CD · Comfortable building and deploying containerised solutions. Nice to have · Experience developing and deploying machine learning models · Experience working in financial markets · Knowledge of best practices when back testing models. Day to Day Duties · Implement data on-boarding (ETL, web-scraping, etc.) and database management Implement best practices for data transformation, manipulation, and storage solutions Build and maintain fundamental market models for supply and demand Build and maintain fundamental and price-based analytics (e.g. visualizations and dashboards)

Master's or Bachelor's degree in Data Science, Computer Science, or related field Proven experience and/or education in data analytics and management of large datasets Proficiency in Python and data mining tools Familiarity with additional programming languages (SQL, R, C++, etc.) Previous Oil and Gas operator experience Exposure to Petroleum Engineering and Geoscience workflows Exposure to the energy sector, particularly unconventional exploitation programs Strong interpersonal and collaborative skills Demonstrated ability to work in a team-oriented environment Excellent presentation skills Ability to work in a fast-paced and fluid environment; flexible with the demands of a growing company Ability to meet deadlines

Senior Data Scientist Keywords: Data Scientists Technical Skill: Python, ORM, SQL, ETL, AI, ML Preferred: Azure, GitHub, Linux, Blob Storage Domain: Chip Manufacturing Embedded Systems, Chip Design

MUST HAVE VISA IN PLACE OR BE ABLE TO WORK VIA W2 - NO SPONSORSHIP About the Company We are currently looking for a 80% remote “Data Scientist” to join a leading environmental company based in the Port Arthur, Texas. As the Data Scientist, you will be responsible for harnessing data to drive impactful environmental solutions About the Role Project Inspired by hazardous waste projects, this project was initiated to tackle the high complexity of operating a hazardous waste incinerator, such as the one in the Port Arthur plant. This project aims to enhance the incineration operation process at the plant and efficiently support operators by leveraging Artificial Intelligence (AI) to achieve their operational objectives. It is also expected to ensure business continuity, addressing the potential challenges posed by the retirement of experienced employees and the departure of expert knowledge from the group. This project is similar to the previous project, but there is one significant difference. While the hazardous waste project is designed to optimize the treatment volume of hazardous wastes on a daily basis, this project focuses on optimizing waste feeding, i.e. flowrates, to an incinerator. We propose a solution to optimize flow rates, aiming to achieve operational goals such as stable combustion, maximizing revenue, etc. For that, we first analyse the dataset with various statistical measures. Then, we present machine learning models that are used to evaluate if potential flowrate solutions are feasible. Finally, we present an optimization model designed to meet the business needs. Before introducing the proposed solution, in this chapter, we present the project timeline and business needs in the following sections. Responsibilities Develop and implement data models using Python to analyse environmental data. Utilise Google Cloud Platform to manage and process large datasets. Collaborate with cross-functional teams to translate data insights into actionable strategies. Present findings and recommendations to stakeholders to support decision-making processes. Qualifications ROLE REQUIREMENTS: To be successful in your application to this exciting role as the Data Scientist, we are looking to identify the following on your profile and past history: Relevant degree in a scientific or technical field. Proven industry experience in data science or a related field. A working knowledge and practical experience with Python and Google Cloud Platform. Required Skills Key Words: Data Scientist / Python / Google Cloud Platform / Environmental Data / Data Modelling / Data Analysis / Cloud Computing / Texas / Environmental Sector / Contract Role Preferred Hyper Recruitment Solutions Ltd (HRS) is an Equal Opportunities employer. We welcome applications for any applicant who fulfil the role requirements for this position. HRS is a company exclusively supporting the science and technology sectors and is made up of a collaboration of recruitment professionals and scientists. We look forward to helping you with your next career moves.

Drive data science innovation across business units, transforming complex data into strategic insights that power decision-making and operational excellence. Key Responsibilities Lead development of advanced analytical solutions using machine learning and AI Translate business challenges into data-driven strategies Build and mentor a high-performing data science team Develop AI/ML standards and best practices Communicate technical insights to diverse stakeholders# Required Qualifications Professional data science experience Expertise in: Python ecosystem Machine learning libraries (TensorFlow, PyTorch) Cloud platforms (AWS, Azure, GCP) Machine learning lifecycle management Skills We Value Strong problem-solving abilities Excellent cross-functional communication Innovative thinking Ability to simplify complex technical concepts What We Offer Competitive compensation Comprehensive benefits package Opportunity to drive technological innovation Inclusive, collaborative work environment For more information, apply now!

Data Scientist with 4-8 years in Data Scientist, Python, Natural Language Processing (NLP), ML, AWS for a contract to hire position onsite. 100% onsite to the Coppell, Dallas area, must be local, no relocation. pays $45-50 W-2. Must be US Citizen, Green Card Holder or EAD in final stages of Green Card, no OPT, sponsorship. Working in all aspects of the data science cycle. What you will be doing: Solve business problems using but not limited to bootstrapping, decision trees, natural language processing (NLP) and market basket analysis Develop experimental and analytic plans for data modeling processes Build and operationalize data pipelines, analytical tools and decision support models Pursue predictive analytics opportunities to solve business problems Implement Gen AI to leverage artificial intelligence capabilities and enhance data analysis and modeling efforts Lots of data cleansing Developing, and maintaining dashboards and visualizations Communicating technical ideas to stakeholders What you will need: Bachelors in Data Analytics, Data Science or similar 4-8 years of experience as a Data Scientist Solid experience in data cleansing Coding in Python or R Experience in model building with frameworks such as Scikit-learn, TensorFlow, Transformer Experience with Natural Language Processing (NLP), GenAI, AI, ML, Machine Learning - Supervised and Unsupervised Machine Learning Experience in cloud, preferably AWS Writing and tuning SQL Experience performing thorough exploratory analysis Positive, can-do attitude, curious, self-driven, analytical and excited to play with data

Soft skills Curiosity and analytical mindset Ability to learn new concepts and domains quickly Versatility to work in a partial greenfield environment Comfortable working with a broad scope with a geographically distributed team Able to work independently on a wide range of data engineering and analytical tasks Hard skills Very strong python with good code hygiene Experience developing and testing data processes e.g. ETL, scraping, transformation etc. Experience exploring and working with new datasets, assessing data quality and exploring for valuable insights - preferably with financial or time-series datasets Familiarity with orchestration tools e.g. Apache Airflow Good understanding of cloud solutions - we are AWS based. Experience working with distributed compute frameworks to handle large data volumes e.g. Spark Experience building visuals for expert and non-expert audiences - preferably using plotly/dash Good source control practices and some experience with CI/CD Comfortable building and deploying containerised solutions. Nice to have Experience developing and deploying machine learning models Experience working in financial markets Knowledge of best practices when back testing models. Day to Day Duties Implement data on-boarding (ETL, web-scraping, etc.) and database management Implement best practices for data transformation, manipulation, and storage solutions Build and maintain fundamental market models for supply and demand Build and maintain fundamental and price-based analytics (e.g. visualizations and dashboards) Thank you, Dheeraj T Astir IT Solutions, Inc 50 Cragwood Rd., Suite 219 | South Plainfield, NJ 07080 Email: ******************** ***************

As the founding entity of RAINBOW PARTNERS, Quanteam is a consulting firm specializing in the fields of Banking, Finance, and Financial Services. Guided by our core values of closeness, teamwork, diversity, and excellence, our team of 1,000 expert consultants, representing 35 different nationalities, collaborates across 10 international offices: Paris, Lyon, New York, Montreal, London, Brussels, Geneva, Lisbon, Porto and Casablanca. About the Role Quanteam, a consulting firm specializing in technology and financial services, is looking for a Senior Data Engineer/Architect to join a strategic project with one of our clients, a major player in the energy sector. This opportunity is ideal for someone passionate about building cutting-edge data platforms and looking to play a pivotal role in redefining how data is managed, governed, and leveraged in a critical industry. Key Responsibilities Data Platform Development: Design and implement scalable data ingestion pipelines to structure and expose data for internal business users. Collaboration: Work closely with Business Analysts and internal teams to understand business challenges and translate them into technical solutions. Code Excellence: Develop modular, maintainable code, ensure high test coverage through automated testing, and participate in peer code reviews. Data Management: Address challenges related to distributed data ingestion (Spark), high-volume data handling, and SQL optimization. Cloud Integration: Lead the development of cloud-native solutions, with a strong preference for AWS (S3, Lambda, DynamoDB) and Azure DevOps. Governance and Quality: Contribute to the deployment of data governance frameworks to ensure the accuracy and reliability of data systems. Technical Skills Strong expertise in Python development (Software Engineering background preferred). Proven experience with distributed data systems (e.g., Spark, Databricks). Proficiency in SQL, particularly in optimization and performance tuning. Advanced understanding of cloud platforms, particularly AWS (S3, Lambda, DynamoDB). Familiarity with Git, CI/CD pipelines, and Azure DevOps. Experience managing large-scale referential data and ensuring its integrity. Preferred Qualifications Senior-level experience in Data Engineering or Data Architecture. Exposure to large-scale data platforms and performance-driven development. Commodities experience is not mandatory but would be a bonus. If you are a Senior Data Engineer/Architect with expertise in Python, distributed systems, and cloud technologies, we invite you to contribute to this exciting mission at the intersection of energy and technology!

Job title: Lead Big Data Engineer (GCP Cloud) Duration: Long-term Skills Needed: 10+ years of experience in designing and building data pipelines in large-scale distributed systems. Lead the design, development, and maintenance of scalable batch and real-time data processing pipelines. Proficiency with Google Cloud Platform (GCP) and tools such as BigQuery, Dataflow, Pub/Sub, GCS. Strong experience with the Hadoop Big Data Ecosystem: HDFS, Hive, Pig, HBase, YARN, and others. Proficiency in Python and Scala for data engineering and scripting. In-depth knowledge of SQL for data manipulation, transformation, and analysis. Experience building both batch and real-time streaming data pipelines Solid understanding of Hadoop fundamental concepts Strong familiarity with CI/CD pipelines Excellent problem-solving skills with an ability to troubleshoot complex data systems and performance bottlenecks. Proven ability to lead and mentor teams of engineers, driving the development of cutting-edge data solutions.

We are seeking a highly skilled Senior Data Scientist with specialized expertise in Artificial Intelligence (AI) and Machine Learning (ML) to support the analysis and interpretation of large-scale datasets. This role is vital for leveraging our law enforcement client's data holdings to develop innovative insights, predictive models, and business solutions. The ideal candidate will have experience working with unstructured data, statistical modeling, and advanced data analytics to drive decision-making and enhance operational effectiveness. Contributions Develop and support AI/ML models for data analysis, focusing on the accuracy, authenticity, expectancy, timeliness, relevancy, and viability of intelligence data. Conduct advanced data integration and statistical analysis to identify patterns, trends, and intelligence gaps. Innovate by deriving investigative, statistical, and predictive value from our clients extensive data sources. Prepare, clean, and manage big data sets, design data models, and develop robust databases to support AI-driven business solutions. Tackle complex technical challenges using state-of-the-art techniques and industry knowledge. Deploy, validate, and manage various types of data models including supervised, unsupervised, and deep learning models. Perform advanced mathematical and statistical modeling to organize, optimize, and predict trends from both structured and unstructured data. Validate and improve machine learning models with rigorous statistical techniques to ensure high accuracy and precision. Design and implement algorithms such as neural networks, decision trees, and surrogate models to drive AI initiatives. Utilize modern tools and methodologies such as Data Lakes, serverless computing (Athena/Lambda), and ETL processes to manage data storage and computational needs. Employ data visualization tools like Power BI, Tableau, or Qlik to translate data insights into actionable intelligence. Qualifications Required Qualifications: 4+ years of hands-on experience in AI/ML model development, including supervised and unsupervised learning, with a strong focus on Natural Language Processing (NLP) for unstructured data. 5+ years of proficiency in at least one analytical/statistical programming language (e.g., Python, R, Scala, Closure). 2+ years of experience manipulating and processing unstructured data from various platforms. 2+ years of experience using data visualization tools such as Power BI, Tableau, Elastic X-Pack (including Graph), or Qlik. Bachelor's Degree in Data Science, Computer Science, Mathematics, or a related field; a combination of education and experience may be considered. An advanced degree is desirable. Must be local to El, Paso TX or willing to drive on site 5 days a week. Preferred Skills: Experience in client engagement and relationship building. Experience in team leadership and staff / team management. Expertise in data architecture and big data management. Strong problem-solving abilities with a creative approach to model optimization and algorithm development. Ability to work collaboratively on cross-functional teams and communicate complex technical concepts to non-technical stakeholders. In accordance with the contractual terms and conditions set by the customer, Steampunk is required to pre-screen candidates based on customer defined criteria to determine eligibility. About steampunk Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $140,000 to $190,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn more about additional Steampunk benefits here. Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employee owned company, we focus on investing in our employees to enable them to do the greatest work of their careers - and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit ************************* We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program. We can recommend jobs specifically for you! Click here to get started.

Associate Data Scientist Steampunk, Inc. Steampunk, Inc. transforms data into strategic assets to support client missions. Their team of experts crafts comprehensive data strategies, aiding organizations in becoming data-driven and customer-focused. The Associate Data Scientist will design, develop, and implement solutions to complex data problems, optimizing organizational data assets. **In this role you can expect to have the responsibilities:** * Collaborate with Data Architects and Developers to develop data strategies and solutions * Create machine learning and AI solutions to address client needs * Conduct exploratory data analysis and feature engineering * Model structured and unstructured data sets * Engage in data visualization and leverage deep learning methods * Support Agile software development lifecycle **This role comes with the following benefits:** * Competitive salary and compensation package * Focus on employee growth and rewarding outstanding contributions * Employee ownership benefits **This role requires you to have:** * Experience in data modeling and solution development * Proficiency in Python, SQL, R, Scala, or Java * Knowledge of deep learning frameworks like TensorFlow and Keras * Experience in manipulating large data sets * Capability to work with big data systems such as Hadoop and Spark * Data visualization skills with tools such as Tableau and Power BI **You would benefit from having:** * Knowledge of DBOps and MLOps frameworks * Experience with Solr, Elasticsearch, or similar tools Steampunk is a change agent in federal contracting, emphasizing new approaches to client challenges in various sectors. They are an equal opportunity employer, participating in the E-Verify program. Discover exciting jobs in Data and Analytics . * El Paso, TX, United States * Full-time * In-person * USD $ 75,000 - $ 130,000 per year Posted 41.0**********6664 days ago The content on this page is not written or managed by Alooba. Please reach out to Steampunk, Inc. directly for any addtional information regarding this role. **Get a free consultation on hiring a Data Scientist.**

The CDC utilizes Direct Hire Authority to fill vacancies in a variety of occupations. This vacancy is a REPOSITORY of applications. Applications may be periodically referred to hiring managers both during the open period and after the closing date. Because of the large number of applications anticipated, applicants' status will not be updated. Applicant Expiration: Applications will expire 4 months after submission/resubmission. To remain eligible for consideration, reapplying is required. Learn more about this agency Help Overview * Accepting applications * Open & closing dates 10/29/2024 to 01/31/2025 * Salary $72,553 - $186,854 per year Salary listed is Rest of U.S. and will be adjusted to reflect location after selection. * Pay scale & grade GS 11 - 15 * Help Locations Few vacancies in the following locations: * Anchorage, AK * Los Angeles, CA * San Diego, CA * San Francisco, CA * Show more locations (24) * Denver, CO * Fort Collins, CO * Washington, DC * Miami, FL * Atlanta, GA * Honolulu, HI * Chicago, IL * Boston, MA * Hyattsville, MD * Detroit, MI * Minneapolis, MN * Triangle, NC * Newark, NJ * New York, NY * Cincinnati, OH * Philadelphia, PA * Pittsburgh, PA * San Juan, PR * Dallas, TX * El Paso, TX * Houston, TX * Seattle, WA * Spokane Valley, WA * Morgantown, WV * Remote job No * Telework eligible Yes-as determined by the agency policy. * Travel Required Occasional travel - You may be expected to travel for this position. * Relocation expenses reimbursed No * Appointment type Multiple Appointment Types * Work schedule Multiple Schedules * Service Competitive * Promotion potential 00 - Contingent - Promotion potential will be based on the position to which appointed. * Job family (Series) * 1560 Data Science Series * Supervisory status No * Security clearance Not Required * Drug test No * Position sensitivity and risk Moderate Risk (MR) * Trust determination process * Suitability/Fitness * Credentialing * Financial disclosure No * Bargaining unit status No * Announcement number HHS-CDC-DH-25-12584835 * Control number 816399400 Help This job is open to * The public U.S. Citizens, Nationals or those who owe allegiance to the U.S. * Career transition (CTAP, ICTAP, RPL) Federal employees who meet the definition of a "surplus" or "displaced" employee. Clarification from the agency Please read this Public Notice in its entirety prior to submitting your application for consideration. You are applying to a resume database. Your resume and any documents submitted will be retained and may be used at any time during or after the open period of this Public Notice. U.S. Citizenship is REQUIRED. Help This job is also open in another announcement to: * The public * Career transition (CTAP, ICTAP, RPL) Help This job is also open in another announcement to: * The public * Career transition (CTAP, ICTAP, RPL) Videos Help Duties The CDC utilizes Direct/Expedited Hire Authorities to fill vacancies in a variety of occupations. This vacancy is a REPOSITORY of applications. Duties and responsibilities vary and may increase according to the grade level of the position. Applications may be periodically referred to hiring managers both during the open period and after the closing date. Because of the large number of applications anticipated, applicants' status will not be updated. This public notice will be used to fill the positions listed below at multiple grade levels and locations. * Data Scientist: Grades GS-11 through GS-15 Duties may include but are not limited to: * Performing assigned portions of professional or technical projects involving some or all duties such as: data science to establish objectives and approach; ability to isolate and define critical features of the problem. * Reviewing, coordinating, and monitoring implementation of policies governing the program area. * Incorporating and/or integrating health equity principles and practices in the development of IT infrastructures, algorithms, concepts, storage, retention, and surveillance programs. Help Requirements Conditions of Employment Due to the Centers for Disease Control and Prevention's (CDC's) process enhancement to use Shared Certificates throughout the Agency, some of the requirements below may differ: * US Citizenship is required. * Males born after December 31, 1959 must be registered or exempt from Selective Service (******************** * May be subject to a Background/Security Investigation. Security clearance level may differ from the position announced when certificates are shared. * CDC participates in the USCIS Electronic Employment Eligibility Verification Program (E-Verify). If selected, CDC will determine your employment eligibility using your social security number. * Direct deposit is required. * One-year probationary period may be required. * This position may be subject to a Collective Bargaining Agreement. * This public notice may be used to fill supervisory or managerial positions and selectees may be subject to 1 year supervisory or managerial probationary period. * Positions may be filled as permanent or term appointments. * This position may be subject to the OGE Financial Disclosure requirements of the Ethics in Government Act of 1978 (P.L. 95-521). CDC inspires public confidence in its trust responsibilities and mission by maintaining high ethical principles. If selected, you may be required to complete a Confidential Financial Disclosure Report (OGE Form 450) to determine if a conflict or an appearance of a conflict exists between your financial interest and your prospective position with the agency. If identified, this will be an annual requirement. * In accordance with Executive Order 12564 of September 15, 1986, The Department of Health and Human Services (HHS) is A Drug-Free Federal Workplace. This position may require a Drug Test and be subject to Random Drug Testing. The position may require the submission of a urinalysis to screen for illegal drug use prior to appointment and be subject to reasonable suspicion and post-accident drug testing upon hiring. If required to submit to urinalysis, the appointment to the position will be contingent upon a negative test result. Qualifications Basic Qualifications: * Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. OR * Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown above, plus additional education or appropriate experience. Minimum Qualifications: To qualify at the GS-11 grade level, you must have at least one year of specialized experience at or equivalent to the GS-09 grade level, which must include the following experience: applying and developing data adaptive algorithms, machine learning and other AI system; reviewing, analyzing, and providing information from multiple systems to prepare data reports; and using data tools and techniques to process large, datasets into structured formats for matching, analysis, or estimation. OR have completed 3 years of progressively higher-level graduate education leading to a Ph.D. degree or Ph.D. or equivalent doctoral degree in a field which demonstrates the knowledge, skills, and abilities necessary to perform the work of the position. OR have a combination of education and specialized experience that together meets 100% of the qualification requirement for this position. To qualify at the GS-12 grade level, you must have at least one year of specialized experience at or equivalent to the GS-11 grade level, which must include the following experience: identifying data required for use in the management and direction of programs; developing data adaptive algorithms, machine learning and other AI system; using data tools and techniques to process large, datasets into structured formats for matching, analysis, or estimation; and applying statistical analyses to determine the fitness-for-use of new or combined data sources, machine learning outputs, and data science methods. To qualify at the GS-13 grade level, you must have at least one year of specialized experience at or equivalent to the GS-12 grade level, which must include the following experience: conducting research using public health data systems (i.e., survey data, health care facility data, syndromic surveillance data, electronic records, vital records, and non-traditional data sources); designing and developing data analytics/science related products using techniques such as machine learning, natural language processing, robotics process automation, and artificial intelligence; conducting analysis using software and/or programming languages; and using data tools and techniques to process large, datasets into structured formats for matching, analysis, or estimation. To qualify at the GS-14 grade level, you must have at least one year of specialized experience at or equivalent to the GS-13 grade level, which must include the following experience: designing and developing of data analytics/science related products using techniques such as machine learning, natural language processing, robotics process automation, and artificial intelligence; conducting analysis using software and/or programming languages; and identifying problematic issues and reporting discrepancies and providing appropriate recommendations to leadership. To qualify at the GS-15 grade level, you must have at least one year of specialized experience at or equivalent to the GS-14 grade level, which must include the following experience: evaluating impacts of new policies and procedures to determine the effectiveness in meeting goals and objectives of a department or division; providing guidance for organizations information technology and negotiate on contracts providing information technology and services; planning, organizing, and presenting data science and data visualization techniques-based reports showcasing data-driven insights to organizational leadership and various program office; and guiding strategic planning for organizational structure, data management, information technology infrastructure, across an organization and with academic institutions and public health communities. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. Promotion potential: Promotion to the next grade level is at management's discretion and is based on your meeting qualifications and time-in-grade requirements, demonstrated ability to perform the higher-level duties, the continuing need for the higher-level duties, and administrative approval. Promotion to the next grade level is not guaranteed and no promise of promotion is implied. Education A copy of your transcripts or equivalent documentation is required for positions with an education requirement, or if you are qualifying based on education or a combination of education and experience. An official transcript will be required if you are selected. A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page. FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. For more information, visit ************************************************************************** Additional information Telework: This position has been designated as telework eligible and: * May include remote work or telework options, and/or flexible work scheduling. These options may be requested once you have become an employee, and you will be required to sign a Workplace Flexibilities Agreement that details remote or telework working conditions and expectations in accordance with the HHS Workplace Flexibilities Policy. * May be eligible for inclusion in the Bargaining Unit.The name of the union, local, and BU Codes will be provided upon selection. * For more information visit: *********************************************************** May be required to work other than normal duty hours, to include evenings, weekends and/or holidays. This position is being filled through Direct Hire Authority for this occupation and is open to all US Citizens. Vacancies will be filled through OPM's Direct Hire Authority. Veterans' preference and traditional rating and ranking of applicants do not apply to positions filled under this announcement. All applicants who meet the minimum qualification requirements will be forwarded to the selecting official for consideration. Applications received as a result of job fairs, recruitment events, and emergency hiring mechanisms in support of this hiring initiative will also be accepted during the duration of the direct-hire authority. For more information on OPM's authorization of Direct Hire Authority, please visit: *********************************************************************************** The Federal government, as the largest employer in the Nation, can and should show the way towards achieving drug-free workplaces through programs designed to offer drug users a helping hand, and at the same time demonstrating to drug users and potential drug users that drugs will not be tolerated in the Federal workplace if declared a drug-testing position. The use of illegal drugs, on or off duty, by Federal employees is inconsistent not only with the law-abiding behavior expected of all citizens, but also with the special trust placed in such employees as servants of the public. Incentives: * Recruitment and/or relocation incentives may be authorized. * Annual Leave for non-federal service may be authorized. * Student loan repayment incentive may be authorized. * Travel, transportation, and moving expenses may be paid. * PCS Expenses may be authorized, subject to the terms of the Joint Travel Regulation (JTR). Read more * Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. How You Will Be Evaluated You will be evaluated for this job based on how well you meet the qualifications above. Additional selections may be made for similar positions across the Department of Health and Human Services (HHS) within the local commuting area(s) of the location identified in this announcement. By applying, you agree to have your application shared with interested selecting official(s) at HHS. Clearance of CTAP/ICTAP will be applied for similar positions across HHS. The utilization of shared certificates for additional selections within the same geographical area can be made from multiple Centers of the Center of Disease Control and Prevention (CDC) and Agency for Toxic Substance and Disease Registry (ATSDR). This position is being filled through Direct Hire Authority for this occupation and is open to all US Citizens. Vacancies will be filled through OPM's Direct Hire Authority. Veterans' preference and traditional rating and ranking of applicants do not apply to positions filled under this announcement. All applicants who meet the minimum qualification requirements will be forwarded to the selecting official for consideration. Applications received as a result of job fairs, recruitment events, and emergency hiring mechanisms in support of this hiring initiative will also be accepted during the duration of the direct-hire authority. For more information on OPM's authorization of Direct Hire Authority, please visit: *********************************************************************************** Once the application process is complete, a review of the resume and supporting documentation will be made and compared against your responses to the assessment questionnaire to determine if you are qualified for this job. If, after reviewing your resume and/or supporting documentation, a determination is made that you have inflated your qualifications and/or experience, you may lose consideration for this position. Please follow all instructions carefully. Errors or omissions may affect your eligibility. Career Transition Assistance Program (CTAP)/Interagency Career Transition Assistance Program (ICTAP): CTAP/ICTAP eligibles must meet all of the requirements outlined in the qualification section of this announcement in order to be considered "well qualified." * Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. * Required Documents As a new or existing federal employee, you and your family may have access to a range of benefits. Your benefits depend on the type of position you have - whether you're a permanent, part-time, temporary or an intermittent employee. You may be eligible for the following benefits, however, check with your agency to make sure you're eligible under their policies. To apply for this position, you MUST submit a complete Application Package which includes the following. Note: All documents must be in English. 1. Resume - Must reflect name, work schedule, hours worked per week, dates (month/year) of employment and duties performed. Current/former Federal employee: * Must reflect pay plan, series and grade, i.e., GS-0301-9. Dos and Don'ts: * ********************************************************************** * ************************************************************************ Cover Letter is optional. 2. Transcripts (if applicable) - You may submit an unofficial transcript. An official transcript from an accredited educational institution is required if you are selected. 3. Career Transition Assistance Plan (CTAP)/ Interagency Career Transition Assistance Plan (ICTAP): * Supporting documentation i.e., Reduction in Force (RIF) notice or Certificate of Expected Separation (CES), AND most recent: * Current annual performance appraisal * SF-50 (Notification of Personnel Action) 4. Current or Former Political Appointees: Agencies must seek prior approval from the Office of Personnel Management (OPM) before they can appoint a current or recent political appointee to a competitive or non-political excepted service position at any

Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. The ideal candidate is a critical thinker and perpetual learner; excited to gain exposure and build skillsets across a range of technologies while solving some of our clients' toughest challenges. CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: * Complete development efforts across data pipeline to store, manage, store, and provision to data consumers. * Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices. * Write code to ensure the performance and reliability of data extraction and processing. * Support continuous process automation for data ingest. * Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing. * Work with program management and engineers to implement and document complex and evolving requirements. * Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork. * Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists. Qualifications: * Must be a US Citizen. * Must be able to obtain a Public Trust Clearance. * 7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models. * Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats. * Proficiency in developing ETL processes, and performing test and validation steps. * Proficiency to manipulate data (Python, R, SQL, SAS). * Strong knowledge of big data analysis and storage tools and technologies. * Strong understanding of the agile principles and ability to apply them. * Strong understanding of the CI/CD pipelines and ability to apply them. * Experience with relational database, such as, PostgreSQL. * Work comfortably in version control systems, such as, Git Repositories. Ideally, you will also have: * Experience creating and consuming APIs. * Experience with DHS and knowledge of DHS standards a plus. * Candidates will be given special consideration for extensive experience with Python. * Ability to develop visualizations utilizing Tableau or PowerBI. * Experience in developing Shell scripts on Linux. * Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions. * Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences. Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we've been growing our government-contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package: * Health, Dental, and Vision * Life Insurance * 401k * Flexible Spending Account (Health, Dependent Care, and Commuter) * Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: ************************************* For more information about CGS please visit: ************************** or contact: Email: ******************* $144,768 - $209,109.33 a year

About Entravision Entravision is a leading global advertising, media and ad-tech solutions company connecting brands to consumers by representing top platforms and publishers. Our service portfolio enables high-performance campaigns while using highly competitive audience reach, cutting-edge mobile programmatic solutions, machine-learned bidding algorithms and demand-side platforms on a global scale. In the US, Entravision is a leader in Hispanic marketing & media solutions serving both local and national Clients for more than 25 years. Our unique portfolio includes primarily Spanish language TV & Radio broadcast assets across 35 markets, an exclusive audio network & streaming platform, and a robust mix of curated digital & social media content solutions. Data Engineer El Paso, TX | Full Time Role Overview: We are seeking a highly skilled and motivated Data Engineer to join our dynamic data team. The ideal candidate will have deep expertise in SQL, cloud platforms, data modeling, and building production-ready ETL pipelines. This role will be essential in designing and maintaining scalable data infrastructure, ensuring seamless data integration, and optimizing end-to-end data workflows. As a key player in shaping our data architecture, you will contribute to building robust, cloud-based solutions that support data analytics and business intelligence initiatives across the organization. Key Responsibilities: * Develop, test, and deploy ETL pipelines to move and transform data across multiple data sources. * Build integrations with third-party tools, APIs, and services, ensuring data is synchronized and accessible. * Manage and optimize data storage, particularly in cloud-based OLAP databases (e.g., Snowflake, Redshift). * Work with cross-functional teams including data scientists, business analysts, and product teams to understand data needs and ensure effective solutions. * Monitor and tune data processes and queries for optimal performance and efficiency. * Help design, deploy, and maintain cloud infrastructure and storage. * Maintain clear and comprehensive technical documentation of data pipelines, workflows, and infrastructure. * Knowledge of containerization technologies like Docker and Kubernetes and experience with deploying data pipelines in containerized environments. Required Skills: * Strong SQL scripting skills for querying and manipulating data. Hands-on experience with cloud-based data warehouses such as Snowflake or Redshift. * Familiarity with ETL tools such as Fivetran, Stitch, Rivery, or Airbyte. Experience working with AWS cloud services including S3, AWS Batch, ECR, Lambda, SNS, SQS, and other managed cloud platforms. * Experience writing production-ready, testable code in languages like Python, Scala, or Java. * Familiarity with project management and documentation tools like JIRA Software, JIRA Service Management and Confluence. * Experience with data transformation tools such as DBT (Data Build Tool). * Advanced experience with API integrations and automating data ingestion. Experience with data orchestration tools like Apache Airflow or Luigi for scheduling and managing workflows. * Experience with data modeling techniques such as Kimball, Inmon, or Data Vault. * Experience with CI/CD pipelines, deployment, and automation using Git and other DevOps tools. Nice to Haves * Understanding of data governance practices and tools for managing data quality, lineage, and security. * Experience with large-scale data processing frameworks such as Spark or Hadoop. * Knowledge of data streaming tools and best practices using Kafka, Kinesis, or similar technologies. * Experience with NoSQL technologies like MongoDB, Cassandra, or Elasticsearch. Qualifications * Bachelor's degree in Mathematics, Statistics, Economics, Computer Science, Engineering, or a related quantitative discipline. * Strong problem-solving skills and the ability to work independently and as part of a team. * Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders. POSITION TYPE/EXPECTED HOURS OF WORK This is a Full Time position. Actual schedule and hours may vary. SUPERVISORY RESPONSIBILITY Reports directly to Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. Entravision Communications Corporation participates in the E-Verify system operated by the US Department of Homeland Security and the Social Security Administration and will use E-Verify to confirm work eligibility for all new hire employees. Entravision Communications is an Equal Opportunity Employer. We encourage women and minorities to apply