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Remote Data Optimization Jobs in Pennsylvania (NOW HIRING)

Soni Resources

Data Scientist

Conshohocken, PA · On-site +1

$175K/yr

Remote (Preference for Northeast/Mid-Atlantic; monthly travel to Plymouth Meeting, PA as needed ... Explore innovative approaches to automation, decision support, and workflow optimization through ...

USM

JB061757 - HEDIS Data Analyst (SQL)

Philadelphia, PA · On-site +1

Philadelphia ,PA - Hybrid - 3 Days a week in the office/ Remote Duration: Long-Term Contract Job ... Strong hands-on experience writing and optimizing SQL queries. * Experience analyzing large health ...

Synopsys

Data Engineer / Architect

Canonsburg, PA · On-site +1

$152K/yr

... Remote Eligible Yes Base Salary Range: $152000 - $228000 Descriptions & Requirements and ... Strong understanding of data quality, governance, scalability, and performance optimization.

EnthuZiastic

Growth Hacker - Remote

Indiana, PA · Remote

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

EnthuZiastic

Growth Hacker - Remote

West Chester, PA · Remote

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

EnthuZiastic

Growth Hacker - Remote

Erie, PA · Remote

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

EnthuZiastic

Growth Hacker - Remote

Allentown, PA · Remote

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

EnthuZiastic

Growth Hacker - Remote

Pittsburgh, PA · Remote

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

EnthuZiastic

Growth Hacker - Remote

Philadelphia, PA · Remote

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

EnthuZiastic

Growth Hacker - Remote

Bloomsburg, PA · Remote

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

EnthuZiastic

Growth Hacker - Remote

Harrisburg, PA · Remote

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

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All JobsData Optimization JobsRemote Data Optimization JobsRemote Data Optimization Jobs in Pennsylvania

Remote Data Optimization information

What is a remote data optimization specialist?

A Remote Data Optimization specialist is a professional who works remotely to analyze, refine, and improve data systems and processes for organizations. Their main goal is to enhance the efficiency, accuracy, and usability of data, often by cleaning datasets, streamlining data flows, and implementing best practices for data management. They may use various tools and techniques to ensure data integrity and improve how data is stored, accessed, and utilized. These specialists often collaborate with data analysts, engineers, and business teams to support data-driven decision-making.

What are some common challenges faced by professionals in remote data optimization roles, and how can they be addressed?

Remote data optimization professionals often encounter challenges such as coordinating with distributed teams, ensuring data accuracy across different systems, and managing time effectively without in-person supervision. To address these, it's important to establish clear communication channels, use collaborative tools for data sharing and project tracking, and set regular check-ins with team members. Additionally, staying updated on best practices and automation tools can help streamline workflows and enhance data quality, making remote work more efficient and productive.

What are the key skills and qualifications needed to thrive as a remote data optimization specialist?

To excel as a Remote Data Optimization Specialist, you need a solid background in data analysis, strong proficiency in statistics, and experience with optimization techniques, typically supported by a degree in data science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), programming languages (such as Python or R), and database systems is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies are vital for translating complex data into actionable insights and driving efficiency improvements from a remote environment.

Are there actually remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting, updating, and managing data from a home environment. These roles often require basic computer skills, attention to detail, and familiarity with spreadsheet or database software. They are commonly offered by companies seeking flexible, part-time, or freelance workers.

What is the difference between Remote Data Optimization vs Remote Data Analyst?

AspectRemote Data OptimizationRemote Data Analyst
Primary FocusImproving data storage, retrieval, and processing efficiencyAnalyzing data to identify trends and generate reports
Required SkillsData management, database tuning, scriptingData analysis, visualization, statistical skills
CertificationsDatabase certifications, data management credentialsData analysis certifications, SQL proficiency
Work EnvironmentTechnical teams, IT departments, data warehousesBusiness units, marketing, finance teams

Remote Data Optimization specialists focus on enhancing data systems' performance, while Remote Data Analysts interpret data to support decision-making. Both roles require strong technical skills, but their core responsibilities differ significantly, making them distinct career paths within data management and analysis.

What are the most commonly searched types of Data Optimization jobs in Pennsylvania? The most popular types of Data Optimization jobs in Pennsylvania are:
What are popular job titles related to Remote Data Optimization jobs in Pennsylvania? For Remote Data Optimization jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Remote Data Optimization jobs in Pennsylvania look for? The top searched job categories for Remote Data Optimization jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Remote Data Optimization jobs? Cities in Pennsylvania with the most Remote Data Optimization job openings:
Remote Data Optimization jobs near you
Infographic showing various Remote Data Optimization job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Scientist

Soni Resources

Conshohocken, PA • On-site, Remote

$175K/yr

Full-time

Re-posted 29 days ago

Job description

Data Scientist (Data Science + Data Engineering)
Location: Remote (Preference for Northeast/Mid-Atlantic; monthly travel to Plymouth Meeting, PA as needed)
Our client is building a data-driven culture where analytics, AI, and technology directly influence business decisions. They are seeking a Data Scientist who can translate complex business challenges into actionable insights while helping bring advanced analytics and machine learning solutions into production.
This role is ideal for someone who enjoys the full lifecycle of data science-from exploring data and building predictive models to partnering with engineering teams to deploy solutions that create measurable business value. The successful candidate will work closely with data engineers, business stakeholders, and executive leadership to help shape the future of analytics and AI across the organization.
While this is primarily a Data Science role, candidates should have a solid understanding of data engineering concepts and how models are operationalized within modern data ecosystems.
Responsibilities:
Data Science & Advanced Analytics
  • Analyze large and complex datasets to identify patterns, trends, and opportunities that support strategic business decisions.
  • Develop predictive models, scoring frameworks, and machine learning solutions that enhance business performance and decision-making.
  • Apply statistical and analytical techniques to solve real-world business problems and uncover actionable insights.
  • Continuously evaluate model effectiveness and recommend enhancements based on business outcomes and evolving data.
AI & Innovation
  • Contribute to the organization's growing AI strategy, including opportunities to leverage generative AI and emerging technologies.
  • Explore innovative approaches to automation, decision support, and workflow optimization through advanced analytics and AI solutions.
  • Partner with leadership to identify high-value use cases where AI can improve operational efficiency and decision quality.
Data Engineering Collaboration
  • Work closely with data engineering teams to ensure analytical solutions can be deployed, maintained, and scaled effectively.
  • Collaborate on the design and implementation of data pipelines that support machine learning and advanced analytics initiatives.
  • Help bridge the gap between model development and production deployment by ensuring solutions are practical, reliable, and business-ready.
  • Support efforts to improve data quality, accessibility, and governance across the organization.
Business Partnership
  • Engage directly with business stakeholders to understand challenges, define analytical approaches, and deliver impactful solutions.
  • Translate technical findings into clear, concise recommendations for both technical and non-technical audiences.
  • Serve as a trusted partner in helping business leaders make data-informed decisions.
Qualifications
Required
  • 3+ years of hands-on experience in Data Science, Analytics, Machine Learning, or a related quantitative field.
  • Proven experience developing predictive models or machine learning solutions in a business environment.
  • Strong proficiency in Python and modern data science libraries.
  • Advanced SQL skills and experience working with large-scale, complex datasets.
  • Experience applying statistical analysis and predictive modeling techniques to business problems.
  • Understanding of data engineering concepts, including data pipelines, model deployment, and production environments.
  • Experience working with cloud-based platforms such as Azure, AWS, or Google Cloud.
  • Strong communication and stakeholder management skills with the ability to explain technical concepts to business audiences.
Preferred
  • Experience collaborating closely with Data Engineering teams or supporting machine learning deployment initiatives.
  • Familiarity with distributed computing tools such as Spark or PySpark.
  • Experience developing AI-driven solutions, including Generative AI, Large Language Models (LLMs), or agent-based workflows.
  • Background in insurance, financial services, or other highly regulated industries.
  • Experience building production-grade machine learning applications.
  • Master's or PhD in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related quantitative discipline.

The ideal candidate:
  • Enjoys solving complex business problems through data.
  • Approaches challenges with curiosity and asks thoughtful questions.
  • Can balance analytical rigor with practical business impact.
  • Is comfortable working independently while collaborating across teams.
  • Takes ownership and drives projects from concept through implementation.
  • Learns new technologies and business domains quickly.
  • Values building solutions that can be used and adopted by the business-not just creating models.
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About Soni Resources

Sourced by ZipRecruiter

Soni is a premier staffing & recruitment company that is disrupting the human capital management space. Headquartered in New York, Soni has presence in 23 markets across the United States. We support each professional relationship with a cutting-edge approach, industry-leading insights, and a human touch. We are trusted to help companies and individuals tackle their challenges and capture their greatest opportunities. We are minority-owned, and diversity & inclusion is in our DNA. We are committed to creating environments where people are empowered to be their authentic selves.

Company size

11 - 50 Employees

Headquarters location

New York, NY, US

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