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Entry Level Behavioral Data Scientist Jobs in Ohio

Procter & Gamble

Data Scientist

Cincinnati, OH · On-site

$85K - $122K/yr

As a Data Scientist in our organization, you will play a crucial role in disrupting current ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...

Proctor & Gamble

Data Scientist

Cincinnati, OH · On-site

$85K - $122K/yr

As a Data Scientist in our organization, you will play a crucial role in disrupting current ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...

ClifyX

Senior Data scientist

Cincinnati, OH · On-site

ClifyX is seeking a Senior Data Scientist to enhance their AI-driven systems. The role involves ... Develop models that combine user behavior, product data, and contextual signals. Partner with ...

EMH&T

ENTRY LEVEL ENVIRONMENTAL SCIENTIST

New Albany, OH · On-site

$72K - $94K/yr

The Environmental Scientist will work under the mentorship of a Senior Environmental Scientist and ... Collects GPS data. * Completes USACE/OEPA ecological data forms. * Supports ODOT projects through ...

EMH&T

ENTRY LEVEL ENVIRONMENTAL SCIENTIST

New Albany, OH · On-site

$72K - $94K/yr

The Environmental Scientist will work under the mentorship of a Senior Environmental Scientist and ... Collects GPS data. * Completes USACE/OEPA ecological data forms. * Supports ODOT projects through ...

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Entry Level Behavioral Data Scientist information

What are the key skills and qualifications needed to thrive as an entry level behavioral data scientist, and why are they important?

To thrive as an Entry Level Behavioral Data Scientist, you need a solid background in statistics, behavioral science, and data analysis, often supported by a degree in psychology, data science, or a related field. Familiarity with programming languages like Python or R, data visualization tools, and statistical software such as SPSS or SAS is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help translate complex data findings into actionable insights. These combined skills are crucial for accurately interpreting behavioral data and informing evidence-based decisions within organizations.

What types of projects does an entry level behavioral data scientist typically work on, and how do they collaborate with other teams?

Entry level behavioral data scientists often work on projects involving the analysis of user or customer behaviors, such as exploring engagement patterns, conducting A/B tests, or building predictive models for behavior outcomes. They frequently collaborate with product managers, UX researchers, and engineers to define data requirements, interpret findings, and implement data-driven solutions. This cross-functional environment helps new data scientists develop both technical and communication skills while gaining insight into how data informs business decisions.

Is entry level behavioral data scientist in high demand?

Entry level behavioral data scientists are in growing demand as organizations seek to understand user behavior and improve decision-making through data analysis and machine learning tools. Skills in statistical analysis, programming, and data visualization are highly valued, and job opportunities are expanding across various industries such as tech, healthcare, and finance.

What is an entry level behavioral data scientist?

An Entry Level Behavioral Data Scientist is a professional who applies data science techniques to analyze and interpret human behaviors, often using data from psychology, marketing, or social science studies. They typically work with large datasets to identify patterns, build predictive models, and provide insights into how people think and act. Entry-level roles focus on supporting research and analysis tasks, learning industry tools, and collaborating with more senior data scientists. This position is ideal for recent graduates with a background in data science, statistics, psychology, or related fields.
What are the most commonly searched types of Behavioral Data Scientist jobs in Ohio? The most popular types of Behavioral Data Scientist jobs in Ohio are:
What are popular job titles related to Entry Level Behavioral Data Scientist jobs in Ohio? For Entry Level Behavioral Data Scientist jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Entry Level Behavioral Data Scientist jobs in Ohio look for? The top searched job categories for Entry Level Behavioral Data Scientist jobs in Ohio are:
What cities in Ohio are hiring for Entry Level Behavioral Data Scientist jobs? Cities in Ohio with the most Entry Level Behavioral Data Scientist job openings:
Entry Level Behavioral Data Scientist jobs near you

Data Scientist

Procter & Gamble

Cincinnati, OH • On-site

$85K - $122K/yr

Full-time

Re-posted 20 days ago

Procter & Gamble rating

8.3

Company rating: 8.3 out of 10

Based on 163 frontline employees who took The Breakroom Quiz

67th of 536 rated manufacturers

Job description

Job Location

CINCINNATI GENERAL OFFICES

Job 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 and AI Engineering teams to productionize these solutions, applying exploratory data analysis, feature engineering, and model building within cloud environments on 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 and developing in cloud 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 information regarding who is eligible for hire at P&G along with other work authorization FAQ’s, please click HERE. 

Procter & Gamble participates in e-verify as required by law. 

Qualified individuals will not be disadvantaged based on being unemployed. 

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in 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 time

Job Number

R000135859

Job Segmentation

Entry Level

Starting Pay / Salary Range

$85,000.00 - $122,200.00 / year

What Procter & Gamble employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Procter & Gamble logo

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

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