What Jobs are available for Data Scientist in Atlanta?

Our client is seeking a highly motivated and analytical Junior Data Scientist to join their growing team in Atlanta, Georgia, US . This internship offers an exceptional opportunity for an aspiring data professional to gain hands-on experience in predictive modeling, machine learning, and data analysis within a dynamic business environment. You will work closely with senior data scientists and engineers to contribute to projects that leverage data to drive business insights and solutions. The ideal candidate will have a strong academic background in a quantitative field, a passion for data, and a desire to learn and apply advanced analytical techniques.

Key Responsibilities:

• Assist in the collection, cleaning, and preprocessing of large datasets from various sources.
• Support the development and implementation of machine learning models for predictive analytics.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
• Help in evaluating model performance and iterating on models to improve accuracy.
• Create data visualizations and reports to communicate findings to technical and non-technical stakeholders.
• Collaborate with team members on data-related projects and initiatives.
• Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence.
• Contribute to the documentation of data processes, models, and findings.
• Participate in team meetings and contribute ideas for new analytical approaches.

Qualifications:

• Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• Solid understanding of fundamental statistical concepts and machine learning algorithms (e.g., regression, classification, clustering).
• Proficiency in at least one programming language commonly used in data science, such as Python or R.
• Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and data visualization tools (e.g., Matplotlib, Seaborn).
• Basic knowledge of SQL for database querying.
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal abilities.
• Eagerness to learn and adapt to new technologies and methodologies.
• Previous internship or project experience in data analysis is a plus.

This is a fantastic opportunity to kick-start your career in data science within the vibrant city of Atlanta, Georgia, US . You will gain invaluable experience and mentorship. Apply now to be considered for this exciting graduate-level role.

Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE's 100 Best Companies to Work For and Diversity Inc's Top 50 Companies For Diversity lists.
As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges.
You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel.
Key Responsibilities:
+ Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our products
+ Partner with teams to solve problems and identify trends and opportunities
+ Inform, influence, support, and execute our product decisions and product launches
+ Forecasting and goaling, designing, and evaluating experiments, building and analyzing dashboards and reports, and evaluating and defining metrics
+ Exploratory Analysis: proposing roadmap items, user behaviors, and long-term trends, identifying new levers to help move key metric, and building models of user behaviors for analysis
+ Product Leadership: influencing product teams through presentation of data-based recommendations, communicating state of business, experiment results
+ Data Infrastructure: Hadoop and Hive, MySQL, Oracle, and Vertica, and automating analyses and authoring pipelines via SQL
+ Knowledge of statistics: hypothesis testing, regression
Basic Qualifications:
+ Minimum 5 years of work experience with at least 2 years of experience in Data Science
+ Minimum 2 years of experience in SQL
+ Minimum 2 years of experience in Python
+ High School Diploma or GED
Preferred Qualifications:
+ Data Analytics
+ Statistics
+ Good communication skills
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New York/New Jersey or Washington as set forth below.
We accept applications on an on-going basis and there is no fixed deadline to apply.
Information on benefits is here. ( Location Hourly Salary Range
California $80 to $0
Cleveland 80 to 90
Colorado 80 to 90
District of Columbia 80 to 90
Illinois 80 to 90
Maryland 80 to 90
Massachusetts 80 to 90
Minnesota 80 to 90
New York/New Jersey 80 to 90
Washington 80 to 90
Requesting an Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at or send us an email or speak with your recruiter.
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We believe that no one should be discriminated against because of their differences. 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. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
For details, view a copy of the Accenture Equal Opportunity Statement ( is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.
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Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
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Are you a customer-obsessed, AI (Artificial Intelligence)-curious problem-solver who thrives in an inclusive, collaborative global team? The Azure Customer Experience Platform (CXP) team's mission is to transform Microsoft Cloud customers into fans. Through our deep engineering engagements with customers and teams across Microsoft, we analyze and amplify customer needs and drive the vision to improve Cloud quality, security, and reliability. Our culture of growth mindset and empowerment are central to who we are and how we work.
In the new era of AI, this role within Azure CXP Data & Applied Sciences team will provide you the opportunity to work on cutting-edge GenAI and ML (Machine Learning) solutions that drive specific, measurable, and impactful improvements to key areas of Azure customer experience. In an environment of high opportunity and impact, we are looking for an Applied Scientist II who can deliver on key initiatives for Security, Reliability and Quality through advanced AI solutions with a cross-functional team of Product Managers, Designers, Engineers and Data Scientists.
Every day, our customers stake their business and reputation on our cloud. You can help provide our customers with the world-class cloud services they need to succeed.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
**Responsibilities**
As a Senior Data and Applied Scientist in our team, you will:
+ Engage with product and business groups to drive impact of AI projects throughout the life cycle from idea creation through technology transfers, applied research, experimentation, implementation and finally to worldwide availability.
+ Work with large-scale computing frameworks, data analysis systems, and modeling environments to build and apply models to real products, and then verify effects through iterations.
+ Perform rigorous experiments and evaluations to assess the quality and impact of your solutions and improve them based on data and customer feedback.
+ Communicate technical findings and insights effectively.
+ Collaborate with cross-functional teams including researchers, applied scientists, engineers, product managers and designers to build tools and improve the end-to-end AI Quality of our production systems.
+ Leveraging data from various sources and domains to design and implement innovative solutions that achieve rigorous metrics and address customer needs.
+ Ensure compliance to Microsoft Responsible AI standards throughout the AI system lifecycle
+ Stay abreast of the latest advancements in machine learning, information retrieval, and recommendation systems, and contribute to the company's intellectual property through patents and publications. 
**Qualifications**
**Required Qualifications:**
+ Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
+ Atleast 6+ months of experience implementing solutions with LLMs and GenerativeAI
**Other Qualifications:**
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
**Preferred Qualifications:**
+ 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers). Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 7+ years related experience (e.g., statistics, predictive analytics, research)
+ OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
+ OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ year(s) related experience (e.g., statistics, predictive analytics, research)
+ OR equivalent experience.
+ Experience in Python, PyTorch, TensorFlow, langchain, or other machine learning frameworks.
+ Experience delivering AI product features
+ Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 6+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
+ OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 8+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
+ OR equivalent experience.
Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $34,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD 158,400 - 258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: will accept applications for the role until November 7, 2025.
Relevant prior work experience, e.g., statistics, predictive analytics, research, GenAI.
**#MSCareerEvents25**
**#SHPE2025**
**#AfroTech2025**
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .

**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Data Scientist Responsibilities:
1. Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Meta users interact with our consumer and business products.
2. Mine massive amounts of data and perform large-scale data analysis to extract useful business insights.
3. Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful signals of user behavior.
4. Build models of user behaviors for analysis or to power production systems.
5. Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
6. Design and implement dashboards and reports that track key business metrics and provide actionable insights.
7. Inform, influence, support, and execute our product decisions and product launches by effectively communicating results to cross functional groups.
8. Work across areas of product operations, exploratory analysis, product leadership, and data infrastructure to help shape the future of what we build at Meta.
9. Telecommuting from anywhere in the U.S. allowed.
**Minimum Qualifications:**
Minimum Qualifications:
10. Bachelor's degree (or foreign equivalent) in Information Technology, Computer Science or related field.Requires completion of a university-level course, research project or internship involving the following
11. Relational database (SQL)
12. Developing in scripting language (Python, R)
13. Large scale data processing infrastructures using distributed systems (Hadoop, Hive)
14. Data Visualization (Tableau)
**Public Compensation:**
$165,787/year to $196,900/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

**The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.**
Need Help? ( you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility ( ?subject=Accommodation%20request)_
_(accommodation requests only; other inquiries won't receive a response)._
**Regular or Temporary:**
Regular
**Language Fluency:** English (Required)
**Work Shift:**
1st shift (United States of America)
**Please review the following job description:**
Seeking driven talent with strong analytical skills with prior experience in Digital fraud strategies. Responsibilities will include performing advanced analyses utilizing multiple systems and databases to develop rules to mitigate fraud trends and minimize customer impact, work with business partners to recommend changes to fraud policy and controls to improve key performance metrics, communicate results and data effectively to executive leadership and stakeholders.
Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk. Provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics. Lead small projects with manageable risks and resource requirements; play significant roles in larger, more complex initiatives. Act as a resource for teammates with less experience.
**ESSENTIAL DUTIES AND RESPONSIBILITIES**
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
1. Perform sophisticated data analytics (encompassing data mining, inferential statistical analysis, and predictive analytics, for example) on structured and unstructured data. Identify actionable insights from various (or multiple) sources of data that measurably improve business outcomes or reduce business risk.
2. Support new, ongoing, and strategic projects and take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.
3. Extract and evaluate information gathered from multiple sources, resolve data conflicts and customize communication of key data findings, while providing recommendations to diverse audiences.
4. Provide analytical consulting and thought leadership to various business areas and fosters strategic and positive relationship with business partners.
5. Co-design the optimal solutions to solve the complex business problems with advanced data science capabilities to create business value. Emphasize reusability and scalability in all design, development, deployment and mentoring activities through implementing consistent coding standards and best practices, focusing on clarity of communication across stakeholder groups and maintaining rigorous documentation.
6. Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage; data governance and analytics capabilities; help with the overall risk management for the team.
7. Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist's capabilities.
**QUALIFICATIONS**
Required Qualifications:
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1. Bachelor's degree in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training
2. Minimum of six years of related experience
3. Demonstrate domain expertise (SME) in one or more areas relevant to banking, financial services, fin-tech, quantitative risk management, and/or financial regulation; this will be demonstrated by several years of career progression in roles of increasing responsibility
4. In-depth knowledge in practices, theories and methodologies associated with the professional discipline such as statistics, programming (such as Python, R, SAS, etc.), machine learning, model development, business information visualization, etc.
5. Ability to maintain a high level of competency in statistical and analytical principles, tools, and techniques
6. Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark
7. Experience in managing multiple projects with tight deadlines in a collaborative environment
**Preferred Qualifications:**
1. Master's degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
2. Ten years of relevant work experience if candidate lacks graduate degree
3. Previous experience in the banking or fin-tech industry
4. Experience working with data science workspace within Adobe Enterprise Platform
5. Experience working with Graph Databases, graph query language, and related algorithms
**General Description of Available Benefits for Eligible Employees of Truist Financial Corporation:** All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site ( Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.
**_Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace._**
EEO is the Law ( Transparency Nondiscrimination Provision ( (

**Position Purpose:**
The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported.
**Key Responsibilities:**
+ 55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies
+ 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation
+ 10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals
+ 15% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented
**Direct Manager/Direct Reports:**
+ This position typically reports to Manager or above
+ This position has 0 Direct Reports
**Travel Requirements:**
+ Typically requires overnight travel less than 10% of the time.
**Physical Requirements:**
+ Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
**Working Conditions:**
+ Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
**Minimum Qualifications:**
+ Must be eighteen years of age or older.
+ Must be legally permitted to work in the United States.
**Preferred Qualifications:**
+ Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
+ 4+ years of experience in business intelligence and analytics
+ Working knowledge of Microsoft Excel and Power Point
+ Experience in a modern scripting language (preferably Python)
+ Proficient running queries against data (preferably with Google BigQuery or SQL)
+ Proficient with data visualization software (preferably Tableau)
+ Proficient utilizing statistical techniques to identify key insights that help solve business problems
+ Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
+ Demonstrated experience in predictive modeling, data mining and data analysis
**Minimum Education:**
+ The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
**Preferred Education:**
+ No additional education
**Minimum Years of Work Experience:**
+ 3
**Preferred Years of Work Experience:**
+ No additional years of experience
**Minimum Leadership Experience:**
+ None
**Preferred Leadership Experience:**
+ None
**Certifications:**
+ None
**Competencies:**
+ Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm
+ Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
+ Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
+ Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
+ Customer Focus: Building strong customer relationships and delivering customer-centric solutions
+ Drives Results: Consistently achieving results, even under tough circumstances
+ Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder
+ Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
+ Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals
+ Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

**Position Purpose:**
The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported.
**Key Responsibilities:**
+ 55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies
+ 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation
+ 10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals
+ 15% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented
**Direct Manager/Direct Reports:**
+ This position typically reports to Manager or above
+ This position has 0 Direct Reports
**Travel Requirements:**
+ Typically requires overnight travel less than 10% of the time.
**Physical Requirements:**
+ Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
**Working Conditions:**
+ Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
**Minimum Qualifications:**
+ Must be eighteen years of age or older.
+ Must be legally permitted to work in the United States.
**Preferred Qualifications:**
+ Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
+ 4+ years of experience in business intelligence and analytics
+ Working knowledge of Microsoft Excel and Power Point
+ Experience in a modern scripting language (preferably Python)
+ Proficient running queries against data (preferably with Google BigQuery or SQL)
+ Proficient with data visualization software (preferably Tableau)
+ Proficient utilizing statistical techniques to identify key insights that help solve business problems
+ Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
+ Demonstrated experience in predictive modeling, data mining and data analysis
**Minimum Education:**
+ The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
**Preferred Education:**
+ No additional education
**Minimum Years of Work Experience:**
+ 3
**Preferred Years of Work Experience:**
+ No additional years of experience
**Minimum Leadership Experience:**
+ None
**Preferred Leadership Experience:**
+ None
**Certifications:**
+ None
**Competencies:**
+ Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm
+ Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
+ Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
+ Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
+ Customer Focus: Building strong customer relationships and delivering customer-centric solutions
+ Drives Results: Consistently achieving results, even under tough circumstances
+ Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder
+ Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
+ Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals
+ Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. - $0.00 - $0.00

**Position Purpose:**
The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported.
**Key Responsibilities:**
+ 55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies
+ 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation
+ 10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals
+ 15% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented
**Direct Manager/Direct Reports:**
+ This position typically reports to Manager or above
+ This position has 0 Direct Reports
**Travel Requirements:**
+ Typically requires overnight travel less than 10% of the time.
**Physical Requirements:**
+ Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
**Working Conditions:**
+ Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
**Minimum Qualifications:**
+ Must be eighteen years of age or older.
+ Must be legally permitted to work in the United States.
**Preferred Qualifications:**
+ Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
+ 4+ years of experience in business intelligence and analytics
+ Working knowledge of Microsoft Excel and Power Point
+ Experience in a modern scripting language (preferably Python)
+ Proficient running queries against data (preferably with Google BigQuery or SQL)
+ Proficient with data visualization software (preferably Tableau)
+ Proficient utilizing statistical techniques to identify key insights that help solve business problems
+ Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
+ Demonstrated experience in predictive modeling, data mining and data analysis
**Minimum Education:**
+ The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
**Preferred Education:**
+ No additional education
**Minimum Years of Work Experience:**
+ 3
**Preferred Years of Work Experience:**
+ No additional years of experience
**Minimum Leadership Experience:**
+ None
**Preferred Leadership Experience:**
+ None
**Certifications:**
+ None
**Competencies:**
+ Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm
+ Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
+ Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
+ Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
+ Customer Focus: Building strong customer relationships and delivering customer-centric solutions
+ Drives Results: Consistently achieving results, even under tough circumstances
+ Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder
+ Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
+ Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals
+ Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.
Apply End Date: 11/06/2025
- $0.00 - $0.00

**Job Description**
**This role is based remotely but if you live within a 50-mile radius of an office (Atlanta, Austin, Detroit, Warren, or Mountain View), you are expected to report to that location three times a week, at minimum.**
**The Role**
The Marketing Applied Sciences team is responsible for developing analytics-driven solutions to help GM Marketing Organizations achieve their business goals. The Senior Data Scientist will work as part of this multi-disciplinary team that will be driving solution design, development, and deployment of analytic models in support of marketing strategies. They are knowledgeable in methodology and practice of marketing analytics with an emphasis on inferential and prescriptive methods. This individual has experience with website, email, and media measurement.
This person will work closely with teammates in Marketing Applied Sciences and stakeholders in GM's Marketing organization to ensure objective performance evaluation and optimization of media strategy. This senior data scientist will assist in the research and development of advanced marketing models, drawing insights, and creating scalable products across owned & paid channels. They will be part of a team focused on delivering future-focused, consumer-centric, prescriptive solutions that allow GM to stay proactive and nimble in our exciting transition to EVs.
**What You'll Do**
+ You build predictive models and machine-learning algorithms
+ You analyze large amounts of information to discover trends and patterns
+ Undertake preprocessing of structured and unstructured data
+ Monitor and sustain model effectiveness
+ Combine models through ensemble modeling
+ Present complex information using data visualization techniques
+ Propose solutions and strategies to business challenges that drive business impact
**Your Skills & Abilities (Required Qualifications)**
+ 5 or more years proficiency in one or more core analytical tools / suites / languages such as SAS, Python, R, Spark Scala and understand their limitations
+ Proficient in one or more analytical methodologies such as numerical optimization, econometric modeling and forecasting, machine learning and text analytics
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
Compensation:
+ The expected base compensation for this role is: $125,000- $205,100. Actual base compensation within the identified range will vary based on factors relevant to the position.
+ **Bonus Potential:** An incentive pay program offers payouts based on company performance, job level, and individual performance.
+ **Benefits** : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
#LI-CC1
**About GM**
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**Non-Discrimination and Equal Employment Opportunities (U.S.)**
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire ( .
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We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:
**Our Company ( Culture**
**How we hire ( diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.
Explore our global locations ( are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) ( . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.
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The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.