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 recruitacxiom.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 recruitacxiom.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) .

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) .

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) .

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) .

The Data Scientist intern will work hands-on with other Data Scientists to reconcile month to month financial services data. The Data Scientist Intern’s 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 patterns and integrate the results into innovative solutions. The Data Scientist Intern will be a champion of automating processes utilizing coding and scripting skills. Internship Notes:<ul><li>Internship will begin January 13th, 2025</li><li>Intern must be able to work from the Conway, AR office </li><li>Interns are considered part-time and will work 20-29 hours </li><li>Intern must not require sponsorship in the future</li></ul>What you will learn and do:<ul><li>Apply algorithms relying on knowledge of statistical modeling to improve the performance/quality of existing products </li><li>Build, evaluate and optimize models </li><li>Collaborate with internal and external stakeholders to understand business and insight goals </li><li>Collaborate with other data scientists and t eam leads to define requirements including data sources, patterns, and implementation </li><li>Work with the account team to transition development projects to production systems </li></ul>What will set you apart:<ul><li>Experience with applying statistics and data science tools on datasets </li><li>Basic to moderate SQL experience to model and identify patterns </li><li>Experience with scripting languages such as Python, Perl, etc </li><li>Ability to read and understand java logs and xml to identify issues </li><li>Ability to leverage critical data-driven thinking and enthusiasm for translating data into actionable insight to generate consistently accurate and useful analysis and models </li><li>Balances desire for quantitative rigor with realities of inconsistent business data </li><li>Attention to detail and time management delivering high quality work for multiple projects across several engagements while meeting deadlines </li><li>Coursework in a quantitative field (Data Science, Statistics, Math) or related degree programs </li></ul>Primary Location City/State: 
Conway, Arkansas Additional Locations (if applicable):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 . 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 .

Client Management Interns support the client team in managing client relationships, ensuring client needs are met, and enhancing client satisfaction. The intern will assist in developing and implementing client success plans, meeting preparation, coordinating cross-functional team support, and organizing client meetings and follow-ups. The role requires effective communication skills, attention to detail, and the ability to work both independently and collaboratively. *Internship details:* <ul><li>The internship will begin January 13, 2025</li><li>This internship will be based in the Detroit Metro area</li><li>20-25 hours/week work dedication during the semester and up to 40/week during breaks and summer</li><li>Anticipated graduation date between December 2025 - December 2026</li><li>Applicants for this internship position with Acxiom in the U.S. must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Acxiom (i.e., H1-B visa, F-1 visa (CPT/OPT), TN visa or any other non-immigrant status)</li></ul>What you will do:<ul><li>Collaborate with the client success team to develop and implement client success plans</li><li>Monitor client satisfaction and proactively address any issues or concerns.</li><li>Preparation for internal and external meetings.</li><li>Support the team in organizing and conducting client meetings and follow-ups.</li><li>Help to identify opportunities for improving client services and processes.</li><li>Maintain accurate and up-to-date client meeting artifacts and documentation.</li><li>Assist in managing client relationships and ensuring needs are met.</li><li>Research projects on relevant industry news, trends, products, services, competitors, and relevant existing and emerging technologies that may impact present and future account performance.</li><li>This role will partner with the Client Partners for the GM and other accounts to support data consulting with our clients:</li><li>Leverage education and experience in data visualization to support data-driven storytelling initiatives across the tower focusing on GM as a first priority.</li><li>Leverage Acxiom’s data and data available through established partnerships with brands like Equifax, Polk and Commerce Signals to develop opportunities for creating high-value audiences and other models.</li><li>Help coordinate and prepare for activities designed to build, test and perfect data solution</li><li>Work directly with account team as well as the Acxiom data teams.</li></ul>What you will need:<ul><li>Currently pursuing a degree in Business, Marketing, Communications, or a related field.</li><li>Strong interpersonal and communication skills.</li><li>Ability to work independently and as part of a team.</li><li>Detail-oriented with excellent organizational skills.</li><li>Proficiency in Microsoft Office Suite and CRM software is a plus.</li></ul>Who are we seeking?<ul><li>Top Talent & High Performers: We hire the brightest in the industry!</li><li>Innovative Collaborators: We drive operational improvements to promote efficiency and improve performance.</li><li>Future Leaders: We develop our people and promote from within.</li><li>Game Changers: We empower people to challenge the status quo and explore new possibilities.</li><li>Emotional Intelligence: We cultivate greatness both within ourselves and with others.</li><li>Hardworking Employees: We look for initiative to conquer complex challenges.</li></ul>We believe in building an exciting workplace where associates feel highly motivated and want to engage every single day. It’s important to Acxiom that we invest in our culture and promote a healthy work-life balance. Acxiom has a fast paced, high-performance culture where we empower our people to do innovative, ground breaking work. You will always be guided to do what is right. 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, disability, sexual orientation, gender identity, genetics or other protected Primary Location City/State: 
Homebased - Conway, Arkansas Additional Locations (if applicable):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 . 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 .

The Data Scientist intern will work hands-on with other Data Scientists to reconcile month to month financial services data. The Data Scientist Intern's 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 patterns and integrate the results into innovative solutions. The Data Scientist Intern will be a champion of automating processes utilizing coding and scripting skills. Internship Notes: <ul><li>Internship will begin January 13th, 2025</li><li>Intern must be able to work from the Conway, AR office</li><li>Interns are considered part-time and will work 20-29 hours</li><li>Intern must not require sponsorship in the future</li></ul> What you will learn and do: <ul><li>Apply algorithms relying on knowledge of statistical modeling to improve the performance/quality of existing products</li><li>Build, evaluate and optimize models </li><li>Collaborate with internal and external stakeholders to understand business and insight goals</li><li>Collaborate with other data scientists and team leads to define requirements including data sources, patterns, and implementation</li><li>Work with the account team to transition development projects to production systems</li></ul> What will set you apart: <ul><li>Experience with applying statistics and data science tools on datasets</li><li>Basic to moderate SQL experience to model and identify patterns</li><li>Experience with scripting languages such as Python, Perl, etc</li><li>Ability to read and understand java logs and xml to identify issues </li><li>Ability to leverage critical data-driven thinking and enthusiasm for translating data into actionable insight to generate consistently accurate and useful analysis and models</li><li>Balances desire for quantitative rigor with realities of inconsistent business data</li><li>Attention to detail and time management delivering high quality work for multiple projects across several engagements while meeting deadlines</li><li>Coursework in a quantitative field (Data Science, Statistics, Math) or related degree programs</li></ul> Primary Location City/State: Conway, Arkansas Additional Locations (if applicable): 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. 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.

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