The Expert Data Scientist (Adobe Practice) will work hands-on with Machine Learning and Big Data technologies within the Adobe Marketing Cloud (e.g., Adobe Journey Analytics) and third-party tools (e.g., Databricks, R) to build scalable machine learning data products and solutions. The Data Scientists responsibilities include collaborating with internal and external stakeholders to identify insight requirements and applying creativity to test hypotheses, prepare data, build models, analyze and visualize results, and integrate the solution into innovative data products. The Data Scientist will be a champion of the latest and greatest Machine Learning and Artificial Intelligence technologies, with a specialization in Generative AI. What you will do: + Apply state-of-the-art algorithms relying on knowledge of statistical modeling, machine learning, and optimization to develop new data products or improve the performance/quality of existing products. + Specialize in building data pipelines, developing machine learning models, and performing advanced analytics and statistical analysis. + Build, evaluate and optimize models which incorporate machine learning, artificial intelligence, and Generative AI. + Collaborate with internal and external stakeholders to understand business and insight goals, define a learning agenda, and identify relevant KPIs and diagnostics to pursue. + Collaborate with other data scientists and team leads to define project requirements including data sources, algorithms, and implementation. + Build expert knowledge of the various data sources brought together for audience segmentation solutions survey/panel data, 3rd-party data (demographics, psychographics, lifestyle segments), media content activity (TV, Digital, Mobile), and product purchase or transaction data. + Work with Product and Engineering teams to transition development projects to production systems. + Prepare and present compelling analytical presentations and effectively communicate complex concepts to marketing and business audiences. + Provide mentorship and guidance to data scientists where necessary. **Required Skills:** + Expert-level experience with Adobes analytics tools (e.g., Adobe Journey Analytics) and third-party SaaS tools (e.g., Databricks, R). + Experience with applying statistics and data science tools on large datasets. + Deep knowledge of supervised vs. unsupervised learning algorithms, including neural networks/deep learning, SVM, decision trees (bagging, random forests, boosting), clustering, regression, and dimensionality reduction techniques. + Specialization in Generative AI. + Expert at model training approaches, hyperparameter tuning, tuning learning rates, and model evaluation approaches. + Extensive experience with data preparation (normalization, scaling, etc.) for modeling. + Proficient in Python/R, APIs, Excel, LLMs, SQL, and Power Automate. + Exposure to Spark/PySpark systems in a distributed computing environment. + SQL mastery, including techniques for writing efficient code over large datasets. + Ability to leverage critical data-driven thinking and enthusiasm for translating data into actionable insight to generate consistently accurate and useful analysis and models. + Excel at handling both structured and unstructured data. + Strong analytical skills and proven track record in deploying innovative SaaS solutions in the tech industry. + Attention to detail and time management delivering high-quality work for multiple projects across several engagements while meeting deadlines. + Bachelors Degree in a quantitative field (Data Science, Statistics, Math) or related degree programs and 5+ years of relevant work experience OR Masters Degree in a quantitative field and relevant work experience. **Qualifications:** + Bachelors Degree in a quantitative field (Data Science, Statistics, Math) or related degree programs and 5+ years of relevant work experience OR Masters Degree in a quantitative field and relevant work experience. + Proven experience in developing and implementing machine learning models in a business environment. + Demonstrated ability to handle complex data sets and perform sophisticated data analysis. + Strong programming skills in Python and/or R. + Experience with APIs and integrating them into data solutions. + Advanced proficiency in Excel for data analysis and reporting. + Familiarity with Large Language Models (LLMs) and their applications. + Strong SQL skills for database management and data manipulation. + Strong problem-solving skills and ability to think creatively and critically about data. + Excellent communication skills, both written and verbal, with the ability to present complex data insights to non-technical stakeholders. + Ability to work collaboratively in a team environment and mentor junior data scientists. + Self-motivated with a strong desire to learn and stay updated with the latest advancements in data science and machine learning technologies. **Primary Location City/State:** Homebased - Conway, Arkansas **Additional Locations (if applicable):** Mexico City Acxiom is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, military status, physical or mental disability, sexual orientation, gender identity or expression, genetics or other protected status. Attention California Applicants: Please see our CCPA/CPRA Privacy Act notice here (https:////www.acxiom.com/wp-content/uploads/2023/01/CCPA-CPRA-Notice-for-Employees-Eff-01012023.pdf) . Attention Colorado, California, Connecticut, Maryland, Nevada, New York City, Ohio, Rhode Island, and Washington Applicants: This position is not located in the aforementioned locations but applications for remote work may be considered. For information about this role under state or local equal pay or pay transparency laws, please contact recruit@acxiom.com . We are leaders in helping brands achieve the number one mantra for every business know your customer. For fifty years, weve helped marketers deal with a fast-changing future of growing channels, data and technology. By understanding the customer, marketers can communicate with relevance everywhere and drive better customer experiences that build a better brand and, in turn, better business. Were one of the marketing industrys most experienced, respected and forward-thinking leaders. For nearly fifty years, weve helped the worlds best marketers understand their customers so that they can reach people with relevance rather than randomness. Our products and solutions form the data foundation that make it possible for marketers to drive better customer experiences and meaningful interactions at scale across every channel. Our job opportunities will give you the opportunity to showcase your talents, grow your skills, and expose you to cutting-edge technologies, whether youre an engineer, developer, products guru, systems and security expert, sales and consulting executive, or an intern looking to gain real experience with a company that will make you stand out. At Acxiom, our values begin with our associates, who are the single most important driver of our success. Were looking to hire people who share our core values: collaboration, excellence, innovation, a focus on outcomes, and being empowered to make and own decisions that benefit our clients and our company. Our values represent our brand promise to our clients and to our associates and define our company culture. If you are interested in applying for employment with Acxiom and need special assistance or an accommodation to apply for a posted position, contact our recruiting department at 1-877-314-2049. **We highly recommend you create an account to monitor your resume submissions. Click on the Sign In link above to create an account or sign up at the end of your application.** Interested in Acxiom? Learn about our Equal Opportunities, job postings, and more: About Us (https://www.acxiom.com/about-us/) Follow Us on Twitter Find Us on Facebook (http://www.facebook.com/AcxiomRecruiting) Careers Page LinkedIn (http://www.linkedin.com/company/acxiom) Internal applicants need to apply for open positions through their Workday account. Please log into Workday and use the **Find Jobs** report to search for and apply for positions posted internally. For questions, please contact the recruiter listed on the job posting. Attention California Applicants: Please see our CCPA/CPRA Privacy Act notice here (https://www.acxiom.com/wp-content/uploads/2023/01/CCPA-CPRA-Notice-for-Employees-Eff-01012023.pdf) . Attention Colorado, California, Connecticut, Maryland, Nevada, New York City, Ohio, Rhode Island, and Washington Applicants: This position is not located in the aforementioned locations but applications for remote work may be considered. For information about this role under state or local equal pay or pay transparency laws, please contact recruit@acxiom.com . Attention Mexico Applicants: Please see our Privacy Policy notice here (https://www.acxiom.com/wp-content/uploads/2023/07/ACXIOM_MX_AVISO_DE_PRIVACIDAD_EMPLEADOS_Privacy_Notice_Workday.pdf) .

Stellar Science is a growing Albuquerque-based scientific software development company seeking talented data science artificial intelligence (AI)/machine learning (ML) experts who are interested in helping create, extend, and apply exciting scientific and engineering analysis applications. We develop custom software products in domains that include computer vision and image processing, image simulation, high power microwave systems modeling and simulation, laser source generation and effects modeling, computational electromagnetics (CEM), space situational awareness (SSA), high performance computing (HPC), and computer aided design (CAD) tools, among others. Our projects employ AI/ML methods and techniques such as: surrogate modeling, deep learning, classification, and generative models. A Stellar Science Data Scientist AI/ML Expert will help to develop novel AI/ML models and use AI/ML in your data analysis to help us gain new insights into experimental and simulation-based datasets by applying innovative processing, and visualization techniques. Your goal will be to help optimize performance, accuracy, and utility of modeling and simulation systems. Minimum Requirements: <ul><li>B.S. in ML/AI related field such as computer science, data science, statistics, applied mathematics, physics, engineering</li><li>Knowledge of a variety of machine learning applications (such as clustering, classification, regression) and concepts (such as graph theory, decision trees, and neural networks), as well as their real-world advantages/drawbacks</li><li>Experience with Python and related data science libraries (such as pandas, NumPy, SciPy, and scikit-learn) and/or C++ development for integration into statistical and/or machine learning applications beyond academic examples</li><li>Experience writing programs or scripts to manipulate data and draw insights from large data sets</li><li>Experience with machine learning and deep learning frameworks such as PyTorch and TensorFlow</li><li>Strong experience using a variety of data mining/data analysis methods, building and implementing models, using/creating algorithms, and creating/running simulations</li></ul> Desired:<ul><li>M.S. or Ph.D. in Data Science or other quantitative, scientific, or engineering field, with substantial scientific analysis experience</li><li>2+ years of post-doctoral or industry experience as a Data Scientist or Data Analyst</li><li>Experience in one or more of the following: time series analysis (such as Kalman filtering), reinforcement learning (such as Proximal Policy Optimization), instance detection (such as Mask-RCNN), robust principal component analysis, and/or physics-informed neural networks</li><li>Experience working within a software production environment involving C, C++, Java, and/or JavaScript.</li><li>Excellent written and verbal communication skills for coordinating across teams</li><li>Experience running simulation and analysis processes on scalable computing architectures including clusters, cloud-based services, or supercomputers. </li><li>Experience with version control (such as Git or SVN)</li></ul> Code sample or coding evaluation required. US citizenship required + willingness to undergo a background investigation. Active Security Clearance is a plus. Extremely flexible work schedule, hybrid workplace model, & generous benefits. Positions are in or near: Albuquerque, NM, Dayton, OH, or Tysons Corner, VA (Washington DC area.) Stellar Science is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, disability, protected veteran status, or national origin, in accordance with federal regulations.

Data Scientist Jobs in Albuquerque, NM

Data Scientist Expert
October 29, 2024

Mathematical Statistician Or Statistician Data Scientist Direct Hire 12 Month Register Amended
October 9, 2024

Data Scientist
October 9, 2024

Data Scientist Aiml Expert
October 5, 2024

Data Scientist Aiml Expert
October 2, 2024

Quick filters

Top companies

Data Scientist Jobs in Albuquerque, NM

Data Scientist ExpertOctober 29, 2024

Mathematical Statistician Or Statistician Data Scientist Direct Hire 12 Month Register AmendedOctober 9, 2024

Data ScientistOctober 9, 2024

Data Scientist Aiml ExpertOctober 5, 2024

Data Scientist Aiml ExpertOctober 2, 2024