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Remote Reddit Data Science Jobs in Philadelphia, PA

Pepperidge Farm, Incorporated

Data Scientist

Camden, NJ · On-site +1

$109.40K - $157.20K/yr

The Data Science Analyst plays a critical role in supporting the Demand Planning function by ... Hybrid work model based in Camden, NJ (Monday & Friday remote; Tuesday-Thursday in-office) * 10-15 ...

The Campbell?s Company

Data Scientist

Camden, NJ · On-site +1

$109.40K - $157.20K/yr

HOW YOU WILL MAKE HISTORY HERE The Data Science Analyst plays a critical role in supporting the ... Friday remote; Tuesday Thursday in-office)10 15% travel for company and customer ...

Relativity

Senior Applied Scientist

Wilmington, DE · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Applied Science Team The Applied Science team operates at the core of Relativity's AI development.

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Remote Reddit Data Science information

What are the key skills and qualifications needed to thrive as a Remote Reddit Data Scientist, and why are they important?

To thrive as a Remote Reddit Data Scientist, you need expertise in statistics, machine learning, and programming languages like Python or R, typically supported by a degree in data science, computer science, or a related field. Familiarity with data analysis tools (such as SQL, Pandas, or Spark), cloud platforms, and experience with Reddit's API or similar social media data sources are commonly required. Strong problem-solving, communication, and the ability to work independently are crucial soft skills in this remote role. These skills are vital for uncovering actionable insights, collaborating effectively across teams, and driving data-driven decision-making in a distributed work environment.

How do remote Reddit Data Science teams typically collaborate on projects and share insights?

Remote Reddit Data Science teams often rely on a combination of digital collaboration tools, such as Slack, GitHub, and shared dashboards, to communicate findings and coordinate project tasks. Regular virtual meetings and sprint planning sessions help ensure alignment and transparency across team members. Since data scientists often work across product, engineering, and community teams, strong documentation and asynchronous updates are crucial for keeping everyone informed and driving projects forward. This collaborative structure allows team members to contribute insights, review code, and iterate on models efficiently, even when working from different locations.

What does a Remote Reddit Data Science job involve?

A Remote Reddit Data Science job typically involves analyzing large sets of data from Reddit to uncover patterns, trends, and insights. Data scientists in this role may work on natural language processing, sentiment analysis, user behavior modeling, and content recommendation systems. They use programming languages like Python or R, as well as tools such as SQL, to gather and interpret Reddit data. The role often requires collaboration with other remote team members, communication of findings to stakeholders, and the ability to work independently. This position is ideal for those interested in social media analytics and remote work flexibility.

What is the difference between Remote Reddit Data Science vs Remote Reddit Data Analyst?

AspectRemote Reddit Data ScienceRemote Reddit Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; experience with machine learningDegree in Data Analysis, Statistics, or related field; proficiency in data visualization
Work EnvironmentCollaborative teams, research-focused projects, advanced analyticsReporting, dashboard creation, data interpretation
Employer & Industry UsageTech companies, social media platforms, research institutionsMarketing firms, social media companies, analytics agencies
Common Search & ComparisonFocus on predictive modeling and complex data analysisFocus on data reporting and insights generation

Remote Reddit Data Science involves advanced analytics, machine learning, and research-oriented tasks, often requiring specialized degrees. In contrast, Remote Reddit Data Analyst roles focus on interpreting data, creating reports, and visualizations to inform decisions. Both roles are integral in social media and tech industries but differ in complexity and scope.

What are the most commonly searched types of Reddit Data Science jobs in Philadelphia, PA? The most popular types of Reddit Data Science jobs in Philadelphia, PA are:
What are popular job titles related to Remote Reddit Data Science jobs in Philadelphia, PA? For Remote Reddit Data Science jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Remote Reddit Data Science jobs in Philadelphia, PA look for? The top searched job categories for Remote Reddit Data Science jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Remote Reddit Data Science jobs? Cities near Philadelphia, PA with the most Remote Reddit Data Science job openings:
Remote Reddit Data Science jobs near you
Data Scientist

Data Scientist

Pepperidge Farm, Incorporated

Camden, NJ • On-site, Remote

$109.40K - $157.20K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 10 days ago

Pepperidge Farm rating

7.7

Company rating: 7.7 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

105th of 377 rated food and drinks producers

Job description

Since 1869, we've connected people through food they love. We're proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell's brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao's Homemade, Snack Factory, Snyder's of Hanover.Swanson, and V8.

Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.

Why Campbell's...

  • Benefits begin on day one and include medical, dental, short and long-term disability, AD&D, and life insurance (for individual, families, and domestic partners).
  • Employees are eligible for our matching 401(k) plan and can enroll on the first day of employment with immediate vesting.
  • Campbell's offers unlimited sick time along with paid time off and holiday pay.
  • If in WHQ - free access to the fitness center. Access to on-site day care (operated by Bright Horizons) and company store.
  • Giving back to the communities where our employees work and live is very important to Campbell's. Our "Campbell's Cares" program matches employee donations and/or volunteer activity up to $1,500 annually.
  • Campbell's has a variety of Employee Resource Groups (ERGs) to support employees.

HOW YOU WILL MAKE HISTORY HERE...

The Data Science Analyst plays a critical role in supporting the Demand Planning function by developing and enhancing advanced forecasting models. In this role, you will select optimal modeling approaches for different scenarios, tune parameters to improve performance, and supplement models with custom algorithm development when necessary. You will leverage machine learning and advanced analytics to improve forecast accuracy, optimize financial and supply chain performance, and deliver measurable business impact.

WHAT YOU WILL DO...

Model Development

  • Develop and refine AI and machine learning models for demand forecasting using techniques such as time series analysis, regression, and ensemble learning

Data Analysis

  • Conduct exploratory data analysis (EDA) to identify patterns, anomalies, and key demand drivers

Insight Generation

  • Translate data into actionable insights to understand the impact of promotions, pricing, and external factors on demand

Platform Utilization

  • Use the o9 platform and open-source IDEs for model development, deployment, data management, and visualization

Continuous Improvement

  • Monitor and improve forecasting model accuracy, adapting to changing market conditions

Collaboration

  • Partner with demand planners, analysts, and business stakeholders to ensure models and insights are practical and impactful

WHO YOU WILL WORK WITH...

  • Demand Planning teams

  • Business analysts and data analysts

  • Cross-functional business stakeholders

  • Supply chain and commercial teams

WHAT YOU BRING TO THE TABLE... (MUST HAVE)

  • 4+ years of experience in data science, forecasting, or advanced analytics (supply chain experience strongly preferred)

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field

  • Strong proficiency in Python, R, SQL, GitHub, and IDEs such as PyCharm or VS Code

  • Solid understanding of statistical modeling and machine learning techniques (e.g., time series, regression, ensemble learning)

  • Expertise in exploratory data analysis (EDA), data cleaning, and feature engineering

  • Strong analytical and problem-solving skills

  • Ability to translate complex analyses into clear business insights

  • Experience identifying and prioritizing risks

  • Continuous improvement mindset

IT WOULD BE GREAT IF YOU HAVE... (NICE TO HAVE)

  • Master's degree in a related field

  • Forecasting experience

  • Experience working with supply chain or demand planning datasets

  • Experience with the o9 platform

Working Conditions

  • Hybrid work model based in Camden, NJ (Monday & Friday remote; Tuesday-Thursday in-office)

  • 10-15% travel for company and customer meetings

Compensation and Benefits:

The target base salary range for this full-time, salaried position is between

$109,400-$157,200

Individual base pay depends on work location and additional factors such as experience, job-related skills, and relevant education or training. Total pay may include other forms of compensation. In addition, we offer competitive health, dental, 401k and wellness benefits beginning on the first day of employment. Please ask your Talent Acquisition Partner for more information about our total rewards package.

The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.

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