Data Scientist (Entry-Level)
Procter & Gamble is hiring a Data Scientist (Entry-Level). Level rates it ; you can apply on Procter & Gamble.
Level's read on this job
- Level rates this data scientist role Builds AI ●●●●: the job is building AI systems.
- The posting mentions Python, SQL and Cloud Platforms among its tools and skills.
- Level classes it as a junior role.
- Procter & Gamble has 873 other open roles on Level.
AI in this role
Develop and deploy machine learning models and algorithms to analyze massive consumer datasets and drive business insights.
Job Location
PANAMA BUSINESS CENTERJob Description
Data Scientist
Managerial full-time position
Start date: This job posting is part of our talent pipeline strategy. By applying, you will be considered for future openings in this role throughout the year, as positions become available.
Location: Panama (relocation support available).
Profile: Up to 3 Years of relevant Data Science experience. Academic background in Science, Technology, Engineering, or Mathematics. Knowledge in algorithmic development, deployment, and monitoring practices.
At P&G, we are committed to ensuring an inclusive recruitment, assessment, and selection process. If you have a disability and require any adjustments or accommodations for our assessments or any stage of the process, you will have the opportunity to briefly describe your needs when applying for the vacancy. Please note, it is important that you do not complete any assessments until we have contacted you to assist with any accommodation required.
Are you passionate about optimizing critical applications and driving process improvements? Do you thrive in fast-paced environments where your problem-solving skills can shine? If so, this is the perfect opportunity for you!
You will join a renowned company improving lives of billions of consumers. You’ll be welcomed within a large team of Data Scientists with diverse backgrounds and seniorities whereby you will take ownership of an algorithm/model need. Within that network, it will be your job to formulate the problem, apply state-of-the-art artificial intelligence, use P&G’s cloud platforms, and present the results from your algorithms and learn new things to create solutions to real opportunities.
With us you will:
Mine terabytes of data, develop models and algorithms to derive actionable insights, and then translate those insights into business.
Partner with business leaders to fully understand the problem, and data engineers to automate & deploy your models into applications providing prescriptions to Sales and Marketing executives - that allow P&G to serve consumers worldwide in a better way.
Have a deep understanding of Statistics and Machine Learning, Optimization, and other advanced analytical models – and how to apply to real world problems
Analyze and model on big datasets – translating 1.5TB daily consumer touchpoints and 500 million consumers' behaviors to actionable recommendations.
Answer business questions and propose solution for business problems by applying machine learning techniques and algorithms and automatize analysis of consumer information or other deep learning data.
Discover and invent next-generation analytic capabilities for our category analysts and business partners.
Own your new creative algorithm-driven applications from design-thinking up to user adoption.
Team-up with technology partners to translate your innovations into robust, scaled, analytic solutions.
What we offer you:
Relocation support to Panamá.
Dynamic and respectful work environment – We live our Purpose, Values, and Principles daily. We value every individual and encourage initiatives promoting agility and work/life balance.
Work in international teams with regional or global responsibilities.
Industry Certifications, plus internal development programs & training
Competitive salary and benefits program
Long-term career with development and growth opportunities
Job Qualifications
- Up to 3 Years of relevant Data Science experiences.
- Academic background in Science, Technology, Engineering, or Mathematics.
- Knowledge in algorithmic development, deployment, and monitoring practices.
- Experience in applying and scaling analytic techniques to deliver actionable insights from data.
- Fluency in Python, working with cloud environments, software development best practices.
- Experience in reinventing current business practices in CPG or related industries
- Experience with exploratory data analysis and working with business intelligence tools, such as KNIME, Tableau, PowerBI.
Important Note for Candidates:
Before submitting your application, we strongly encourage you to review the following material: Hiring Process and Assessment Information.
Familiarizing yourself with this content will help you be better prepared for the online assessments and enhance your chances of success.
What We Offer:
Responsibilities from Day 1, allowing you to take ownership of your projects.
Continuous mentorship from passionate colleagues and formal training opportunities.
A dynamic and supportive work environment that promotes agility and work/life balance.
Flexibility in arranging your work schedule based on personal needs.
A competitive salary and benefits package.
About Us:
P&G serves consumers worldwide with a strong portfolio of trusted brands, including Always®, Ariel®, Crest®, Gillette®, Pampers®, and Tide®. Our community operates in approximately 70 countries. For more information about us and our brands, please visit www.pg.com.
We are an equal-opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status. We ensure reasonable accommodations for individuals with disabilities during the application or interview process. Please contact us to request accommodations.
Job Schedule
Full timeJob Number
R000154177Job Segmentation
Entry LevelHow we rate this
Data Scientist (Entry-Level) at Procter & Gamble rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical data scientist job
- $168k
This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs
Questions you could be asked
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where statistics was part of your work. What did you do?
- Tell me about a project where optimization was part of your work. What did you do?
- Tell me about a project where data mining was part of your work. What did you do?
- Tell me about a project where algorithm development was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Machine learning, Statistics, Optimization, Data Mining, and Algorithm Development. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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