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Data Science Entry Level Remote Jobs in Pennsylvania

Remote Optional Job Number: 515 Department: Data Science - (College of Health and Sciences) Opening Date: 01/25/2024 Join our vibrant community of dedicated faculty and staff who work to create a ...

Data Scientist 3

Lititz, PA ยท On-site +1

$130K - $150K/yr

... Science team. The Data Scientists are responsible for supplying statistical rigor to the ... This role can be remote in some US states (See below for remote work requirements) or based in one ...

... Science team. The Data Scientists are responsible for supplying statistical rigor to the ... This role can be remote in some US states (See below for remote work requirements) or based in one ...

... Science team. The Data Scientists are responsible for supplying statistical rigor to the ... This role can be remote in some US states (See below for remote work requirements) or based in one ...

Lead Data Scientist

Chadds Ford, PA ยท On-site +1

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Associate Data Scientist

Philadelphia, PA ยท On-site +1

$59K - $60K/yr

Degree in data science, finance, business, economics, statistics, mathematics, or a related field ... Hybrid and remote work flexibility. * Empowering Values: Live by values that prioritize teamwork ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... This effort aims to strengthen the University's leadership in computational and data-driven ...

... remote work. This is a term appointment funded for one year from the date of hire, with an excellent chance for renewal based upon mutual agreement. Requirements A PhD in Computer Science, Data ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... data science, molecular and cellular biology, and quantitative physical sciences. The Center ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... This opportunity is ideal for students seeking hands-on experience in research, data science ...

$13/hr

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional ... Data Science, the graduate Computer Science and Engineering program, or a closely related field.

$13/hr

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional ... Data Science, the graduate Computer Science and Engineering program, or a closely related field.

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Proficiency in computational and data science methods relevant to advancing NCEMS Working Group ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... data science, molecular and cellular biology, and quantitative physical sciences. The Center ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... data science, molecular and cellular biology, and quantitative physical sciences. The Center ...

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Data Science Entry Level Remote information

What is a data science entry level remote job?

Data science entry level remote jobs are positions suitable for individuals who are just starting their careers in data science and prefer or require the flexibility to work from home or any location outside the traditional office setting. These roles typically involve tasks such as data cleaning, basic statistical analysis, creating simple data visualizations, and assisting with machine learning projects under supervision. Entry level data scientists often work closely with more experienced team members and use tools like Python, R, SQL, and Excel. Remote roles require good communication skills and self-motivation, as collaboration happens online. These positions are a great way to gain practical experience and develop technical skills in the field of data science.

What skills and qualifications are needed to thrive as an entry-level remote data scientist?

To thrive as an entry-level remote Data Scientist, you need a solid background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree or certification. Familiarity with tools like Jupyter Notebook, SQL databases, and machine learning libraries such as scikit-learn or TensorFlow is commonly required. Strong problem-solving abilities, communication skills, and self-motivation are crucial soft skills for remote collaboration and project management. These competencies enable effective data-driven insights, seamless teamwork, and measurable contributions in a distributed work environment.

What challenges do entry-level data scientists face when working remotely, and how can they overcome them?

Entry-level data scientists working remotely often encounter challenges such as limited access to mentorship, difficulty in collaborating on complex projects, and adjusting to asynchronous communication. To overcome these, it's important to proactively seek guidance from senior team members through regular check-ins, participate actively in team meetings and online forums, and document your work thoroughly for transparency. Leveraging collaborative tools like shared code repositories and communication platforms can also help maintain strong connections with your team and ensure project alignment.

What is the difference between Data Science Entry Level Remote vs Data Analyst Entry Level Remote?

AspectData Science Entry Level RemoteData Analyst Entry Level Remote
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentRemote, collaborative teams, often with cross-functional departmentsRemote, often working independently or with business teams
Employer & Industry UsageTech companies, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare

While both roles are entry-level remote positions involving data, Data Science Entry Level Remote focuses on programming, machine learning, and predictive modeling, whereas Data Analyst Entry Level Remote emphasizes data visualization, reporting, and interpreting data for business insights. Candidates should choose based on their skills and career interests.

What are the most commonly searched types of Data Science Remote jobs in Pennsylvania?

The most popular types of Data Science Remote jobs in Pennsylvania are:

What are popular job titles related to Data Science Entry Level Remote jobs in Pennsylvania?

For Data Science Entry Level Remote jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Data Science Entry Level Remote jobs in Pennsylvania look for?

The top searched job categories for Data Science Entry Level Remote jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Data Science Entry Level Remote jobs?

Cities in Pennsylvania with the most Data Science Entry Level Remote job openings:

Infographic showing various Data Science Entry Level Remote job openings in Pennsylvania as of August 2026, with employment types broken down into 8% Internship, 56% Full Time, 28% Part Time, and 8% Contract. Highlights an 100% Remote job distribution.

Clinical Data Scientist

RedSail Technologies, LLC

Warrendale, PA โ€ข On-site, Remote

$140K - $145K/yr

Full-time

Re-posted 16 days ago


Job description

Clinical Data ScientistJob Summary

The RedSail Advantage Solutions has the primary mission to create incremental value streams for RedSail through the development and activation of Clinical, Financial, & Operational Programs that leverage our uniquely integrated technology platforms as well as our associated reach within the targeted market segments. The Clinical Data Scientist, will participate in the making use of RedSail’s data to evaluate and establish various impactful programs to accomplish and assist with the measurement of program effectiveness against the department objectives.

Key Duties
  • Data Collection: Gathering data from various sources, such as databases, APIs, web scraping, and more. This can involve collecting structured and unstructured data.
  • Data Cleaning: Preprocessing the collected data to handle missing values, remove duplicates, correct inconsistencies, and address outliers. This step ensures data quality and reliability.
  • Data Exploration (Exploratory Data Analysis, EDA): Analyzing the main characteristics of the data often through visualization and summary statistics. This helps in understanding data distributions, relationships between variables, and identifying patterns or anomalies.
  • Data Transformation: Modifying data into a suitable format for analysis, such as normalization, standardization, or creating new features (feature engineering).
  • Data Visualization: Creating visual representations of data, such as graphs, charts, and dashboards, to communicate findings effectively. Tools like Matplotlib, Seaborn, and Tableau are commonly used.
  • Statistical Analysis: Applying statistical methods to understand data distributions, test hypotheses, and infer relationships. This can include t-tests, chi-square tests, ANOVA, and regression analysis.
  • Data Communication: Presenting findings, insights, and recommendations to stakeholders through reports, presentations, and storytelling. Effective communication is crucial for decision-making.
  • Collaboration with Domain Experts: Working with professionals from various fields to ensure that the data science approach aligns with business goals and that the results are meaningful and actionable.
  • Keeping Up with Industry Trends: Continuously learning and adapting to new tools, technologies, and methodologies in data science to stay current and effective in the field.
  • Ethical Considerations and Compliance: Ensuring that data usage complies with ethical standards and legal regulations, such as data privacy laws (e.g., HIPAA)
Education/Training
  • Bachelor’s degree in Data Science, Data Engineering, or similar data relevant computer science/software development degree. Doctor of Pharmacy with data credentials or extensive data experience may substitute for formal education in Data Science.
Required Work Skills/Experience
  • Pharma/Pharmacy/Healthcare experience.
  • Experience programming with SQL scripting.
  • Experience with data analytics visualization tools such as PowerBI and Tableau.
  • Ability to transform complex data across multiple platforms into concise datasets.
  • Ability to visualize data in the most effective way possible for a given project or study.
  • Strong analytical and problem-solving skills; inquisitive.
  • Ability to work independently and with team members from different backgrounds and collaborative styles.
  • Excellent attention to detail with critical thinking skills.
Preferred Work Skills/Experience
  • A combination of both Doctor of Pharmacy and degree in Data Science, Data Engineering, or similar data relevant computer science/software development degree (i.e. Pharmacist Data Scientist) strongly preferred.
  • 2 years of experience as a Data Analyst, Data Scientist or Data Engineer.
  • Experience with Pharma/Pharmacy transactions.
  • Experience programming with Python or Go Lang.
Discretionary Judgement
  • Uses independent judgment and discretion based upon the employee’s experience in the position and knowledge of the products, equipment, and services.
  • Uses good judgment and possesses ethical work values.
Physical Demands/Working Conditions/General Employment
  • Moderate or high stress levels may be experienced in the job performance.
  • Position is performed in a general office environment, home office, or approved remote workspace where physical work includes, but is not limited to, sitting, standing, reaching, kneeling, bending, and lifting to 25 lbs.
Equipment
  • Daily use of Microsoft Teams (phone), computer, printer, and other routine office equipment.
  • Must have reliable and consistent internet access.
Safety to Self and Others
  • Little responsibility for the safety of others. Job is performed in an office setting where there are no hazardous materials or equipment.
Working Conditions/Hazards
  • Position is performed in an open office environment or approved remote work location.
Compensation & Total Rewards
  • The anticipated base salary range for this position is $140,000-$145,000 annually. This position is also eligible for an annual target bonus of 4%. Actual compensation will be determined based on factors including relevant experience, skills, qualifications, and geographic location.
  • Benefits include paid time off, medical, dental, and vision insurance, a 401(k) with a 5% company match, a fitness bonus, professional development opportunities, and programs that support overall well-being.
Work Location
  • Hybrid at a RedSail Office
    • Spartanburg, SC
    • Irving, TX
    • Shreveport, LA
    • Oak Brook, IL
    • Cranberry Township, PA
    • Long Island, NY