146 Data Science jobs in Georgia
Data Science Specialist
Posted 3 days ago
Job Viewed
Job Description
Join The Home Depot, where you can bring your authentic self to work and contribute to something significant.
Position Purpose:
The Data Science Specialist plays a crucial role in advancing data science projects that enhance business profitability, boost operational efficiencies, and elevate customer experiences. By utilizing state-of-the-art analytical techniques and handling large datasets, you'll extract valuable insights and creatively address business challenges. This role also involves documenting developed algorithms for future use. Depending on the team's focus, expertise in areas such as optimization, computer vision, recommendation systems, search, or natural language processing (NLP) may be required.
As a Data Science Specialist, you will employ advanced analytics to uncover trends and deliver actionable business solutions. You will be expected to articulate insights to non-technical stakeholders, highlighting the benefits and potential impact of your proposals. Collaboration is key, as you will work alongside business partners and cross-functional teams, necessitating strong communication skills and the ability to foster productive relationships.
Key Responsibilities:
- 55% Solution Development - Design and implement algorithms and models using extensive datasets to derive valuable business insights. Act as a technical lead on analytics projects and contribute to team efforts effectively, ensuring high-quality and efficient execution of tasks while employing appropriate analytical techniques.
- 20% Communicating Results - Clearly present insights and recommendations to both technical and non-technical stakeholders, confidently influencing decision-making. Prepare comprehensive reports and presentations to keep project teams and partners informed on project statuses and insights.
- 10% Business Collaboration - Integrate business acumen into solution strategies and cultivate trust-based relationships with internal teams and partners. Collaborate with project teams to align on objectives.
- 15% Technical Exploration & Development - Pursue continuous knowledge growth in data science, technical capabilities, and emerging data sources. Contribute to the improvement of analytics processes by creating reusable solutions and maintaining a comprehensive library of documented algorithms.
Direct Manager/Direct Reports:
- This position typically reports to a managerial role or higher.
- This position has no direct reports.
Travel Requirements:
- Typically requires overnight travel less than 10% of the time.
Physical Requirements:
- Most of the time involves sitting comfortably with opportunities to move. Rarely, you may need to lift light objects.
Working Conditions:
- Work is primarily conducted indoors in a comfortable environment.
Minimum Qualifications:
- Must be 18 years of age or older.
- Must be legally allowed to work in the United States.
Preferred Qualifications:
- Master's degree in a quantitative discipline (Computer Science, Math, Statistics) or corresponding work experience.
- 4+ years of experience in business intelligence and analytics.
- Proficient in Microsoft Excel and PowerPoint.
- Experience in a modern scripting language (preferably Python).
- Proficient in querying data (preferably using Google BigQuery or SQL).
- Familiar with data visualization tools (preferably Tableau).
- Adept in statistical methods to derive insights addressing business challenges.
- Knowledgeable in prescriptive modeling areas like optimization, computer vision, recommendation systems, search, or NLP.
- Proven experience in predictive modeling, data mining, and analytics.
Minimum Education:
- Acquired knowledge, skills, and abilities through a bachelor's degree or equivalent education in a relevant field.
Minimum Years of Work Experience:
- 3 years.
Competencies:
- Action Oriented: Embracing new opportunities and challenges with urgency and enthusiasm.
- Business Insight: Leveraging business knowledge to contribute to organizational objectives.
- Collaboration: Building effective partnerships to achieve shared goals.
- Effective Communication: Delivering multi-faceted communications that address diverse audience needs.
- Customer Focus: Developing strong relationships with customers and providing solutions centered on their needs.
- Results-Driven: Achieving outcomes consistently, even in challenging circumstances.
- Nimble Learner: Engaging in learning through experimentation, using both successes and setbacks as stepping stones.
- Process Optimization: Recognizing effective practices to enhance efficiency and drive continuous improvement.
- Strategic Planning: Organizing tasks and priorities to align with organizational objectives.
- Self-Development: Actively pursuing new growth and challenges through various development channels.
Data Science Analyst
Posted 3 days ago
Job Viewed
Job Description
The Data Science Analyst is responsible for data analytics that support the company's strategic objectives and contribute to the efficiency of their data science team. This role is very collaborative, working with a variety data science roles and business functions to design and implement data analysis, tools and reporting capabilities. Another area of responsibility is the cleansing, validation, and maintenance of data sources.
As a Data Science Analyst, you will leverage your data analytics skills to translate business questions into actionable insights, support ongoing data needs, design tools to facilitate data-driven decisions and deliver high quality analytical solutions. This requires effective communication skills as well as continuous learning and development.
Key Responsibilities:
- 70% Data Analytics - Collaborate with business stakeholders, data scientists, and business analysts to deliver high quality analytics solutions; Determine best method to gather, model, manipulate and present data; Interpret and translate results from complex analysis into understandable and relevant insights; Perform data analytics for a variety of business problems and opportunities; Apply a wide variety of database applications and analytical tools, including SQL, Google Cloud Big Query and Python; Evaluate, process, analyze and interpret statistical data
- 20% Management of Data - Collaborate with other analysts, data scientists and business partners to explore new sources of data; Cleanse, validate and test data; Standardize and maintain data sources used by the team; Gather, model and manipulate existing data using best practice methodologies
- 10% Technical Learning - Keep up to date on industry trends, best practices and emerging methodologies; Continually develop skills and expertise in data analytics concepts and methodologies; Develop basic data science knowledge through self-learning initiatives and collaboration with team members
Direct Manager/Direct Reports:
- This position reports to Manager of above
- This position has 0 Direct Reports
Travel Requirements:
- No travel required.
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.
- Proven experience with data mining and data analysis
Preferred Qualifications:
- Working knowledge of Microsoft Office Suite
- Working knowledge of Tableau
- Working knowledge of presentation software (e.g., Microsoft PowerPoint)
- Master's degree in a quantitative field (Analytics, Finance, Information Systems, etc.) or equivalent work experience
- 2-4 years of relevant work experience
- Working knowledge of Microsoft Excel and Power Point
- Experience in a modern scripting language (preferably Python)
- Experience running queries against data (preferably with Google BigQuery or SQL)
- Experience with data visualization software (preferably Tableau)
- Exposure to statistics, predictive modeling and other data science methodologies
Minimum Education:
- The knowledge, skills and abilities typically acquired through the completion of a master'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:
- 2
Preferred Years of Work Experience:
- No additional years of experience
Minimum Leadership Experience:
- None
Preferred Leadership Experience:
- None
Certifications:
- None
Competencies:
- Action Oriented
- Business Insights
- Nimble Learning
- Self-Development
- Collaborates
- Optimizes Work Processes
- Plans and Aligns
- Communicates Effectively
- Customer Focus
- Drives Results
Data Science Analyst
Posted 4 days ago
Job Viewed
Job Description
Position Purpose:
The Data Science Analyst is responsible for data analytics that support the company's strategic objectives and contribute to the efficiency of their data science team. This role is very collaborative, working with a variety data science roles and business functions to design and implement data analysis, tools and reporting capabilities. Another area of responsibility is the cleansing, validation, and maintenance of data sources.
As a Data Science Analyst, you will leverage your data analytics skills to translate business questions into actionable insights, support ongoing data needs, design tools to facilitate data-driven decisions and deliver high quality analytical solutions. This requires effective communication skills as well as continuous learning and development.
Key Responsibilities:
-
70% Data Analytics - Collaborate with business stakeholders, data scientists, and business analysts to deliver high quality analytics solutions; Determine best method to gather, model, manipulate and present data; Interpret and translate results from complex analysis into understandable and relevant insights; Perform data analytics for a variety of business problems and opportunities; Apply a wide variety of database applications and analytical tools, including SQL, Google Cloud Big Query and Python; Evaluate, process, analyze and interpret statistical data
-
20% Management of Data - Collaborate with other analysts, data scientists and business partners to explore new sources of data; Cleanse, validate and test data; Standardize and maintain data sources used by the team; Gather, model and manipulate existing data using best practice methodologies
-
10% Technical Learning - Keep up to date on industry trends, best practices and emerging methodologies; Continually develop skills and expertise in data analytics concepts and methodologies; Develop basic data science knowledge through self-learning initiatives and collaboration with team members
Direct Manager/Direct Reports:
-
This position reports to Manager of above
-
This position has 0 Direct Reports
Travel Requirements:
- No travel required.
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.
-
Proven experience with data mining and data analysis
Preferred Qualifications:
-
Working knowledge of Microsoft Office Suite
-
Working knowledge of Tableau
-
Working knowledge of presentation software (e.g., Microsoft PowerPoint)
-
Master's degree in a quantitative field (Analytics, Finance, Information Systems, etc.) or equivalent work experience
-
2-4 years of relevant work experience
-
Working knowledge of Microsoft Excel and Power Point
-
Experience in a modern scripting language (preferably Python)
-
Experience running queries against data (preferably with Google BigQuery or SQL)
-
Experience with data visualization software (preferably Tableau)
-
Exposure to statistics, predictive modeling and other data science methodologies
Minimum Education:
- The knowledge, skills and abilities typically acquired through the completion of a master'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:
- 2
Preferred Years of Work Experience:
- No additional years of experience
Minimum Leadership Experience:
- None
Preferred Leadership Experience:
- None
Certifications:
- None
Competencies:
-
Action Oriented
-
Business Insights
-
Nimble Learning
-
Self-Development
-
Collaborates
-
Optimizes Work Processes
-
Plans and Aligns
-
Communicates Effectively
-
Customer Focus
-
Drives Results
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
Data Science Analyst
Posted 2 days ago
Job Viewed
Job Description
The Data Science Analyst is responsible for data analytics that support the company's strategic objectives and contribute to the efficiency of their data science team. This role is very collaborative, working with a variety data science roles and business functions to design and implement data analysis, tools and reporting capabilities. Another area of responsibility is the cleansing, validation, and maintenance of data sources.
As a Data Science Analyst, you will leverage your data analytics skills to translate business questions into actionable insights, support ongoing data needs, design tools to facilitate data-driven decisions and deliver high quality analytical solutions. This requires effective communication skills as well as continuous learning and development.
**Key Responsibilities:**
+ 70% Data Analytics - Collaborate with business stakeholders, data scientists, and business analysts to deliver high quality analytics solutions; Determine best method to gather, model, manipulate and present data; Interpret and translate results from complex analysis into understandable and relevant insights; Perform data analytics for a variety of business problems and opportunities; Apply a wide variety of database applications and analytical tools, including SQL, Google Cloud Big Query and Python; Evaluate, process, analyze and interpret statistical data
+ 20% Management of Data - Collaborate with other analysts, data scientists and business partners to explore new sources of data; Cleanse, validate and test data; Standardize and maintain data sources used by the team; Gather, model and manipulate existing data using best practice methodologies
+ 10% Technical Learning - Keep up to date on industry trends, best practices and emerging methodologies; Continually develop skills and expertise in data analytics concepts and methodologies; Develop basic data science knowledge through self-learning initiatives and collaboration with team members
**Direct Manager/Direct Reports:**
+ This position reports to Manager of above
+ This position has 0 Direct Reports
**Travel Requirements:**
+ No travel required.
**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.
+ Proven experience with data mining and data analysis
**Preferred Qualifications:**
+ Working knowledge of Microsoft Office Suite
+ Working knowledge of Tableau
+ Working knowledge of presentation software (e.g., Microsoft PowerPoint)
+ Master's degree in a quantitative field (Analytics, Finance, Information Systems, etc.) or equivalent work experience
+ 2-4 years of relevant work experience
+ Working knowledge of Microsoft Excel and Power Point
+ Experience in a modern scripting language (preferably Python)
+ Experience running queries against data (preferably with Google BigQuery or SQL)
+ Experience with data visualization software (preferably Tableau)
+ Exposure to statistics, predictive modeling and other data science methodologies
**Minimum Education:**
+ The knowledge, skills and abilities typically acquired through the completion of a master'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:**
+ 2
**Preferred Years of Work Experience:**
+ No additional years of experience
**Minimum Leadership Experience:**
+ None
**Preferred Leadership Experience:**
+ None
**Certifications:**
+ None
**Competencies:**
+ Action Oriented
+ Business Insights
+ Nimble Learning
+ Self-Development
+ Collaborates
+ Optimizes Work Processes
+ Plans and Aligns
+ Communicates Effectively
+ Customer Focus
+ Drives Results
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
Data Science Analyst
Posted 2 days ago
Job Viewed
Job Description
The Data Science Analyst is responsible for data analytics that support the company's strategic objectives and contribute to the efficiency of their data science team. This role is very collaborative, working with a variety data science roles and business functions to design and implement data analysis, tools and reporting capabilities. Another area of responsibility is the cleansing, validation, and maintenance of data sources.
As a Data Science Analyst, you will leverage your data analytics skills to translate business questions into actionable insights, support ongoing data needs, design tools to facilitate data-driven decisions and deliver high quality analytical solutions. This requires effective communication skills as well as continuous learning and development.
**Key Responsibilities:**
+ 70% Data Analytics - Collaborate with business stakeholders, data scientists, and business analysts to deliver high quality analytics solutions; Determine best method to gather, model, manipulate and present data; Interpret and translate results from complex analysis into understandable and relevant insights; Perform data analytics for a variety of business problems and opportunities; Apply a wide variety of database applications and analytical tools, including SQL, Google Cloud Big Query and Python; Evaluate, process, analyze and interpret statistical data
+ 20% Management of Data - Collaborate with other analysts, data scientists and business partners to explore new sources of data; Cleanse, validate and test data; Standardize and maintain data sources used by the team; Gather, model and manipulate existing data using best practice methodologies
+ 10% Technical Learning - Keep up to date on industry trends, best practices and emerging methodologies; Continually develop skills and expertise in data analytics concepts and methodologies; Develop basic data science knowledge through self-learning initiatives and collaboration with team members
**Direct Manager/Direct Reports:**
+ This position reports to Manager of above
+ This position has 0 Direct Reports
**Travel Requirements:**
+ No travel required.
**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.
+ Proven experience with data mining and data analysis
**Preferred Qualifications:**
+ Working knowledge of Microsoft Office Suite
+ Working knowledge of Tableau
+ Working knowledge of presentation software (e.g., Microsoft PowerPoint)
+ Master's degree in a quantitative field (Analytics, Finance, Information Systems, etc.) or equivalent work experience
+ 2-4 years of relevant work experience
+ Working knowledge of Microsoft Excel and Power Point
+ Experience in a modern scripting language (preferably Python)
+ Experience running queries against data (preferably with Google BigQuery or SQL)
+ Experience with data visualization software (preferably Tableau)
+ Exposure to statistics, predictive modeling and other data science methodologies
**Minimum Education:**
+ The knowledge, skills and abilities typically acquired through the completion of a master'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:**
+ 2
**Preferred Years of Work Experience:**
+ No additional years of experience
**Minimum Leadership Experience:**
+ None
**Preferred Leadership Experience:**
+ None
**Certifications:**
+ None
**Competencies:**
+ Action Oriented
+ Business Insights
+ Nimble Learning
+ Self-Development
+ Collaborates
+ Optimizes Work Processes
+ Plans and Aligns
+ Communicates Effectively
+ Customer Focus
+ Drives Results
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.
Director, Data Science
Posted today
Job Viewed
Job Description
Job Description
Company Description
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.
Job DescriptionTo ensure that Visa’s payment technology is truly available to everyone, everywhere requires the success of our key bank or merchant partners and internal business units. The North America Data Science group supports these partners by using our extraordinarily rich data set that spans more than 3 billion cards globally and captures more than 100 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Science and various groups at Visa. To support our rapidly growing group we are looking for a Director Data Science who will support Fintech and Digital partner clients , helping them unlock insights and drive innovation through advanced analytics and strategic data applications.
Essential Functions
- Provide technical and strategic direction on data science initiatives, including R&D, data governance, system infrastructure, and analytics tool evaluation.
- Act as a mentor and advisor to analysts and data scientists across teams, fostering a culture of excellence and continuous learning.
- Champion best practices in data analysis, modeling, and reporting to ensure rigor, quality, and business relevance.
- Guide team in development of actionable solutions and creation of deliverables that effectively communicate the findings and recommendations
- Leverage big data and cutting-edge data mining techniques, provide thought leadership in analytic techniques and business applications to unlock the value of Visa’s unique data set
- Lead development of assets supporting scalable analytic approaches capable of being leveraged by data scientists globally.
- Make recommendations and build use cases on new sources of value by addressing the biggest gaps in our data sources in relation to revenue potential.
- Evangelize new analytic approaches for processing big data through internal training, documentation and by leading technical sharing sessions.
- Research industry metrics and business context and bring this context to bear in analyses
- Apply Python and SQL for data manipulation, analysis, and automation of workflows.
- Develop and deploy machine learning models to solve business problems and enhance predictive capabilities.
- Explore and implement Generative AI solutions to drive innovation in analytics, reporting, and decision support.
- Build and automate repeatable analyses and self-service tools to empower business users and reduce manual effort.
- Drive sales activities with key clients, collaborating closely with business development teams to identify opportunities, position Visa’s solutions, and support revenue growth.
- Maintain and strengthen relationships with key clients to support both ongoing delivery and long-term business development objectives.
- Lead advanced internal development initiatives by designing and implementing innovative analytics solutions, frameworks, and tools that push the boundaries of Visa’s data science capabilities.
- Act as a strategic partner to sales and account management teams, providing data-driven insights that influence client engagement, and solution design.
- Champion internal thought leadership by initiating and driving proof-of-concept projects that showcase the business impact of emerging technologies such as Generative AI and advanced ML techniques.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
QualificationsBasic Qualifications
- 10 or more years of work experience with a Bachelor’s Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or at least 3 years of work experience with a PhD
Preferred Qualifications
- 12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD
- Advanced knowledge of databases and engineering concepts with hands on experience with one or more data analytics/programming tools such as Hive/SQL/Spark/Python
- Experience with managing project teams and providing direction and thought leadership
- Expertise in the application of predictive modeling and machine learning techniques
- Track record of leading cross-functional efforts including presenting ideas and analysis to various audience levels
- 7+ years of analytical experience in applying solutions to business problems in relevant fields such as analytics, business consulting, or other data-driven functions
- Knowledge of big data engineering stack including Hadoop, Spark, and other related components
- Demonstrated expertise in data science tools and techniques, including advanced proficiency in SQL for data querying and transformation, expert-level knowledge of Python for analysis, modeling, and automation, and a strong foundation in machine learning encompassing model development, evaluation, and deployment.
- Prior experience with a consulting firm delivery consulting services to financial services clients
- Demonstrated experience in planning, organizing, and managing multiple cross-functional projects with diverse cross-functional stakeholders
- Good business acumen to orient data analysis to business needs of clients
- Understanding of Cards/Payments and Banking business model would be a plus
- Experience with managing project teams and providing direction and thought leadership
Additional Information
Work Hours: Varies upon the needs of the department.
Travel Requirements: This position requires travel 5-10% of the time.
Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.
U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is $170,000 to $246,500 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
Data Science Manager, GenAI, Strategic Analytics - Data Science
Posted 1 day ago
Job Viewed
Job Description
The team
Strategic Analytics sits within our Finance FP&A organization. We support the firm and business executive leaders along with our counterparts in other financial and operational roles. Our team leverages cloud computing, AI & data science, strategic thinking, and deep firm knowledge to support leadership's most important business decisions. Our insights are integral to driving growth into the future.
GenAI is a top priority for the future of the firm. We are actively building products and solutions that will revolutionize our firm and our clients. The selected candidate would be directly involved in the success of these engagements.
Specific responsibilities and qualifications for the Data Science Manager role are outlined below.
Recruiting for this role ends on Oct 15,, 2025
Work you'll do Core responsibilities:
+ Lead the design, development, and implementation of GenAI models & agents
+ Manage the creation & maintenance of intuitive and engaging UI/UX for analytics tools and applications
+ Develop timelines, milestones, and metrics to effectively plan and execute projects
+ Collaborate with firm & business leaders, other FP&A teams and other key stakeholders on project deliverables and progress
+ Ensure the scalability, reliability, and performance of AI models and analytics platforms
+ Manage and mentor a team of data scientists, AI engineers, and UI/UX designers
+ Translate complex technical concepts and insights to non-technical stakeholders
+ Support and build presentations on our GenAI products & solutions for clients and leadership
+ Develop and implement best practices for AI model development, deployment, and monitoring
Other responsibilities:
+ Collaborate with cross-functional teams to identify new GenAI opportunities to drive business value
+ Drive the strategic vision for AI and analytics within the organization, aligning with overall business goals
+ Stay current with the latest advancements in GenAI, AI/ML, and UI/UX design
+ Automate and streamline projects to increase efficiencies and scalability
+ Support ad-hoc requests and investigations into the data & process that support our GenAI tools
QualificationsRequired:
+ Bachelor's degree in AI / Data Science or a related subject
+ Minimum of 5+ years of relevant experience
+ Limited immigration sponsorship may be available
+ Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve
+ Demonstrated accomplishments in the following areas:
+ Advanced understanding of data science coding languages (Python, R, SQL)
+ Experience developing GenAI solutions with LLMs (Llama, ChatGPT)
+ Experience with cloud platforms (Databricks, Microsoft Azure)
+ Experience with visualizations tools (Tableau, Power BI)
+ Advanced in MS Office (Excel, PowerPoint, Outlook, Teams)
+ Implementing complex AI/ML algorithms
+ Strong project management skills
+ Excellent problem-solving skills and the ability to think strategically
+ Strong leadership and team management skills
+ Excellent communication and interpersonal skills
Preferred:
+ Advanced education degree
+ Certifications in GenAI, AI/ML, or UI/UX design
+ Experience with front-end development (HTML, CSS, JavaScript, React)
+ Experience in the financial services or consulting industry
+ Business knowledge on financial and operational data
Information for applicants with a need for accommodation: wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100-$232,300.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
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Data Science / Analytics Developer
Posted today
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Job Description
Responsibilities Stabilis Professional Services is looking for a Data Science / Analytics Developer for our client in GA. This is an Onsite position. Job Summary: Under general supervision, designs, codes, tests, modifies and debugs computer software. Researches and analyzes program or systems problems and develops program documentation. Translates business requirements into development.
Data Science / Analytics Developer
Posted 4 days ago
Job Viewed
Job Description
Stabilis Professional Services is looking for a Data Science / Analytics Developer for our client in GA. This is an Onsite position.
Job Summary:
Under general supervision, designs, codes, tests, modifies and debugs computer software. Researches and analyzes program or systems problems and develops program documentation. Translates business requirements into development activities in secure and maintainable code.
The ideal candidate is an enthusiastic, creative, highly motivated, and goal-oriented team player with at least three years of data visualization (SAS strongly preferred) experience with strong knowledge of SQL and python for ETL and database programming.
Essential Duties and Responsibilities:
- Develop / maintain current and future SAS data reports and analyses.
- Develop / maintain current and future ETL scripts and code.
- Ad hoc reporting and analysis using data stored in Oracle and Microsoft SQL Server databases
- Accurately and effectively communicate with the Project Manager and/or Team Lead the level of effort to implement proposed solutions, the status of on-going work, and any potential issues.
- Work well in both a team environment as well as a sole contributor with little or no supervision.
- Possess excellent time management skills in handling multiple priorities with individual deadlines.
- Adapt to a rapidly changing environment and work creatively with minimal supervision.
- Ability to work from written specifications and pre-established guidelines.
- Possess excellent written and oral communication skills.
- Bachelor's degree in computer science, Data Science, or a related scientific or technical degree; or equivalent experience.
- Minimum three years' experience in data science applications. Very strong preference for SAS programming experience.
- Minimum three years' experience in python coding.
- Minimum three years' experience in database coding.
- Minimum three years' experience in data cleansing/ preparation for reporting and visualization.
- Strong knowledge of and experience with Oracle and Microsoft SQL Server databases.
- Strong understanding of object-oriented programming principles.
- Strong knowledge of and experience with python.
- Strong knowledge of and experience with SAS, SAS Enterprise Guide, SAS Visual Analytics, and SAS Viya strongly preferred.
- Understanding of the Unix shell for tasks in Linux environment.
InterSources Inc , a Certified Diverse Supplier, was founded in 2007 and offers innovative solutions to help clients with Digital Transformations across various domains and industries. Our history spans over 16 years and today we are an Award-Winning Global Software Consultancy solving complex problems with technology. We recognize that our employees and our clients are our strengths as the diverse talents and opportunities they bring to the table enable us to grow as a global platform and they are causally linked with our success. We provide strategic and technical advice, and we have expertise in areas covering Artificial Intelligence, Cloud Migration, Custom Software Development, Data Analytics Infrastructure & Cloud Solutions, Cyber Security Services, etc. We make reasonable accommodations for clients and employees and we do not discriminate based on any protected attribute including race, religion, color, national origin, gender sexual orientation, gender identity, age, or marital status. We also are a Google Cloud partner company. We align strategy with execution and provide secure service solutions by developing and using the latest technologies that thrive our resources to deliver industry-leading capabilities to our clients and customers, making it convenient for our clients to do business with InterSources Inc. Our teams also drive growth by refining technology-driven client experiences that put the users first, providing an unparalleled experience. This results in strengthening the core technologies of clients, enabling them to scale with flexibility, create seamless digital experiences and build lifelong relationships.