Data Scientist
$85K - $122K/yr
Your work will also integrate advanced techniques from Generative and Agentic AI to create more ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...
Data Scientist
$85K - $122K/yr
Your work will also integrate advanced techniques from Generative and Agentic AI to create more ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...
... is a plus. - Entry-level or foundational security certifications (e.g., Security+, GIAC ... Generative AI, Group Problem Solving, Process Improvements, Release Management, Software Solutions ...
... is a plus. - Entry-level or foundational security certifications (e.g., Security+, GIAC ... Generative AI, Group Problem Solving, Process Improvements, Release Management, Software Solutions ...
Generative Ai Entry Level information
How to start a career in Generative AI?
To start a career in Generative AI, develop a strong foundation in programming languages like Python, learn machine learning and deep learning concepts, and gain experience with frameworks such as TensorFlow or PyTorch. Building a portfolio of projects, staying updated with research, and obtaining relevant certifications can also improve job prospects in this field.
What types of projects do entry-level professionals in Generative AI typically work on, and how do they contribute to larger team goals?
As an entry-level professional in Generative AI, you may work on tasks such as data preprocessing, model training, and evaluating the performance of generative models. You'll often collaborate with researchers, data scientists, and software engineers to support more complex projects, such as developing new text or image generation tools. Your contributions help ensure data quality and model accuracy, and you may also assist in documenting results and preparing presentations. This collaborative environment allows you to learn from experienced colleagues while building foundational skills for future growth.
What are the key skills and qualifications needed to thrive as a Generative AI Entry Level professional, and why are they important?
To thrive as a Generative AI Entry Level professional, you need a basic understanding of machine learning concepts, Python programming, and a relevant degree such as computer science or data science. Familiarity with tools like TensorFlow, PyTorch, and version control systems, as well as exposure to cloud platforms, is typically expected. Strong problem-solving abilities, eagerness to learn, and the ability to communicate technical information clearly help individuals stand out in this role. These skills and qualities are crucial to effectively contribute to AI projects, adapt to rapidly evolving technologies, and collaborate within technical teams.
What does a Generative AI Entry Level professional do?
A Generative AI Entry Level professional assists in developing, training, and testing artificial intelligence models that can create new content, such as text, images, or audio. They often work with large datasets, help fine-tune AI models, and support more senior engineers in implementing machine learning algorithms. Typical tasks include data preprocessing, running experiments, evaluating model outputs, and documenting results. This role is ideal for those new to the AI field and looking to gain hands-on experience in generative technologies.
What is a $900000 AI job?
A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or executive positions in tech companies. These roles often require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with a strong track record of innovation and leadership. Compensation at this level usually includes base salary, bonuses, and stock options, reflecting the value and impact of the position within the organization.
Are there any entry-level AI jobs?
Yes, there are entry-level AI jobs such as AI analyst, data labeler, and junior machine learning engineer. These roles often require foundational knowledge of programming, data analysis, and familiarity with AI tools like Python or TensorFlow, making them accessible to recent graduates or those new to the field.
How do I get a job in AI with no experience?
Entry-level AI roles, such as those involving generative AI, often require foundational skills in programming (Python is common), understanding of machine learning concepts, and familiarity with AI frameworks like TensorFlow or PyTorch. Gaining experience through online courses, tutorials, personal projects, and internships can help build a portfolio that demonstrates your abilities to employers.
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What are popular job titles related to Generative Ai Entry Level jobs in Ohio? For Generative Ai Entry Level jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Generative Ai Entry Level jobs in Ohio look for? The top searched job categories for Generative Ai Entry Level jobs in Ohio are:
What cities in Ohio are hiring for Generative Ai Entry Level jobs? Cities in Ohio with the most Generative Ai Entry Level job openings:
Procter & Gamble rating
8.3
Based on 161 frontline employees who took The Breakroom Quiz
68th of 535 rated manufacturers
Job description
Job Location
CINCINNATI GENERAL OFFICESJob Description
Do you enjoy solving billion-dollar data science problems across trillions of data points? Are you passionate about working at the cutting edge of interdisciplinary boundaries, where computer science meets hard science? If you like turning untidy data into nonobvious insights and surprising business leaders with the transformative power of Artificial Intelligence (AI), including Generative and Agentic AI, we want you on our team at P&G.
As a Data Scientist in our organization, you will play a crucial role in disrupting current business practices by designing and implementing innovative models that enhance our processes. You will be expected to constructively research, design, and customize algorithms tailored to various problems and data types. Utilizing your expertise in Operations Research (including optimization and simulation) and machine learning models (such as tree models, deep learning, and reinforcement learning), you will directly contribute to the development of scalable Data Science algorithms. Your work will also integrate advanced techniques from Generative and Agentic AI to create more dynamic and responsive models, enhancing our analytical capabilities. You will collaborate with Data andAI Engineeringteams to productionize these solutions, applying exploratory data analysis, feature engineering, and model buildingwithin cloud environmentson massive datasets to deliver accurate and impactful insights. Additionally, you will mentor others as a technical coach and become a recognized expert in one or more Data Science techniques, quantifying the improvements in business outcomes resulting from your work.
Key Responsibilities:- Algorithm Design & Development:Directly contribute to the design and development of scalable Data Science algorithms.
- Collaboration:Work closely with Data and Software Engineering teams to effectively productionize algorithms.
- Data Analysis:Apply thorough technical knowledge to large datasets, conducting exploratory data analysis, feature engineering, and model building.
- Coaching & Mentorship:Develop others as a technical coach, sharing your expertise and insights.
- Expertise Development:Become a known expert in one or multiple Data Science techniques and methodologies.
Job Qualifications
Required Qualifications:
- Education:Pursuing or has graduated with a Master's degree in a quantitative field (Operations Research, Computer Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.) or possess equivalent work experience.
- Technical Skills:Proficient in programming languages such as Python and familiar with data science/machine learning libraries like OpenCV, scikit-learn, PyTorch, TensorFlow/Keras, and Pandas.Demonstrated ability to develop and test code within cloud environments.
- Communication:Strong written and verbal communication skills, with the ability to influence others to take action.
Preferred Qualifications:
- Analytic Methodologies:Experience applying analytic methodologies such as Machine Learning, Optimization, Simulation, and Generative and Agentic AI to real-world problems.
- Continuous Learning:A commitment to lifelong learning, keeping up to date with the latest technology trends, and a willingness to teach others while learning new techniques.
- Data Handling & Cloud:Experience with large datasets anddeveloping incloud computing platforms such as GCP or Azure.
- DevOps Familiarity:Familiarity with DevOps environments, including tools like Git and CI/CD practices.
Immigration Sponsorship is not available for this role. For more informationregardingwho is eligible for hire at P&G along with other work authorization FAQ's, please clickHERE.
Procter & Gambleparticipatesine-verifyas required by law.
Qualified individuals will not be disadvantaged based on being unemployed.
We will ensure that individuals with disabilities are provided reasonable accommodation toparticipatein the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Job Schedule
Full timeJob Number
R000135859Job Segmentation
Entry LevelStarting Pay / Salary Range
$85,000.00 - $122,200.00 / yearWhat Procter & Gamble employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Procter & Gamble
Sourced by ZipRecruiter
Procter & Gamble (P&G), based in Cincinnati, OH, US, is a multinational consumer goods corporation. The company operates in the Consumer Discretionary sector and has a presence in various industries including Beauty, Health Care, Grooming, Fabric & Home Care, and Baby, Feminine & Family Care. Since its foundation by William Procter and James Gamble in 1837, P&G has grown to become a leading player in the consumer goods market. The corporation prides itself on its core values of leadership, ownership, integrity, passion for winning, and trust. They aim to improve consumers' lives in small but significant ways, with a mission to provide branded goods and services of superior quality and value.
Industry
Health and personal care stores
Company size
10,000+ Employees
Headquarters location
Cincinnati, OH, US
Year founded
1837