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Data Digitizer Jobs (NOW HIRING)

Lancesoft

Data Scientist

Santa Monica, CA · On-site

$80 - $100.72/hr

Claims, EHR/EMR, CRM, and digital engagement data Ensure compliance with data privacy and regulatory standards (e.G., HIPAA) Required Qualifications Education Master s or PhD in: Data Science ...

SP Data Digital

B2B Sales Representative

Atlanta, GA · Remote

$15/hr

SP Data Digital delivers high‑performance sales and customer experience solutions for brands that value long-term customer relationships. As a founder‑led organization, we combine hands-on ...

Apply Early

SP Data Digital

B2B Sales Representative

Atlanta, GA · Remote

$15/hr

SP Data Digital delivers high‑performance sales and customer experience solutions for brands that value long-term customer relationships. As a founder‑led organization, we combine hands-on ...

Apply Early

SP Data Digital

B2B Sales Representative

Atlanta, GA · Remote

$15/hr

SP Data Digital delivers high‑performance sales and customer experience solutions for brands that value long-term customer relationships. As a founder‑led organization, we combine hands-on ...

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Data Digitizer information

What is the difference between Data Digitizer vs Data Entry Clerk?

AspectData DigitizerData Entry Clerk
Required SkillsAttention to detail, basic technical skills, familiarity with image or document processingTyping speed, accuracy, basic computer skills
Work EnvironmentOften involves working with scanned images, PDFs, or digital formsPrimarily office-based, entering data into databases or spreadsheets
Common TasksConverting physical or scanned data into digital formatsInputting data from paper or digital sources into systems
CertificationsNone typically required, but technical skills can be beneficialNone typically required

While both roles involve handling data, Data Digitizers focus on converting physical or scanned data into digital formats, requiring technical skills related to image processing. Data Entry Clerks primarily input data into systems, emphasizing speed and accuracy. Understanding these differences helps in choosing the right career path or job search focus.

What is the highest paying job in data?

In data-related fields, roles such as Data Science Managers, Data Architects, and Machine Learning Engineers tend to have the highest salaries due to their advanced skills and responsibilities. These positions often require expertise in programming, statistical analysis, and experience with big data tools, and they typically offer six-figure compensation packages.

What are some common challenges faced by Data Digitizers, and how can they be effectively managed?

Data Digitizers often encounter challenges such as handling large volumes of information, ensuring high accuracy while minimizing errors, and adapting to various data formats or sources. Managing these challenges requires strong attention to detail, proficiency with data entry tools, and effective time management. Collaborating closely with quality assurance teams and maintaining clear communication with supervisors can also help address data inconsistencies and improve efficiency.

What is a digitizer job?

A digitizer job involves converting physical drawings, maps, or images into digital formats using specialized software and tools. The role requires attention to detail, accuracy, and often familiarity with CAD or GIS software, depending on the industry. Digitizers typically work in office environments with standard schedules and may need technical training or certifications.

How to identify fake data entry jobs?

To identify fake data entry jobs, verify the company's legitimacy by researching its website and contact information. Genuine roles typically do not require upfront payments, ask for sensitive personal data early, or promise unusually high pay for minimal work. Be cautious of jobs with vague descriptions, unrealistic promises, or those that lack clear contact details.

What jobs make $1,000,000 a year?

In the field of data digitization, high earnings typically come from specialized roles such as data consultants, freelance data experts, or entrepreneurs who develop proprietary data processing tools. These positions often require advanced skills, extensive experience, and sometimes business ownership or consulting contracts to reach such income levels.

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

To thrive as a Data Digitizer, you need keen attention to detail, accuracy, and fast typing skills, often supported by a high school diploma or equivalent. Familiarity with data entry software, spreadsheets like Microsoft Excel, and sometimes OCR (Optical Character Recognition) tools is typically required. Strong organizational skills, time management, and the ability to focus on repetitive tasks are important soft skills for this role. These skills ensure large volumes of information are digitized accurately and efficiently, supporting reliable data management for organizations.

What is a Data Digitizer?

A Data Digitizer is a professional responsible for converting information from physical formats, such as paper documents, handwritten notes, or printed materials, into digital formats. This process typically involves using specialized software and equipment to scan, input, and organize data for easier access, storage, and analysis. Data Digitizers play a crucial role in helping organizations transition to digital systems, improve data accuracy, and enhance workflow efficiency. They may also be responsible for verifying the accuracy of the digitized data and maintaining data security throughout the process.
More about Data Digitizer jobs
What cities are hiring for Data Digitizer jobs? Cities with the most Data Digitizer job openings:
What job categories do people searching Data Digitizer jobs look for? The top searched job categories for Data Digitizer jobs are:
Data Digitizer jobs near you
Infographic showing various Data Digitizer job openings in the United States as of June 2026, with employment types broken down into 25% As Needed, and 75% Contract. Highlights an 100% Remote job distribution.
Data Scientist

Data Scientist

Lancesoft

Santa Monica, CA • On-site

$80 - $100.72/hr

Full-time

Posted 23 days ago

Key responsibilities

  • Develop and deploy predictive models for patient events such as line switches and initiation.

  • Oversee the build and maintenance of end-to-end machine learning pipelines including data ingestion, feature engineering, model training, evaluation, and deployment.

  • Partner with Sales, Marketing, and Sales Analytics teams to translate business problems into analytical solutions and deliver actionable insights and recommendations to senior stakeholders.

Job description


Job Title: Data Scientist III
Location: 100% Remote
Contract Duration: 12 Months
Pay Range: $80.00 - $100.72 USD hourly on W2
Job Description:
We are seeking a highly motivated Data Scientist to join the Global Data & Digital Innovation (GDDI) organization within the pharmaceutical commercial domain. This role focuses on building data science and AI-driven solutions, including predictive patient event modeling, Next Best Action (NBA) engines for HCP engagement, and GenAI-powered decision agents to enhance commercial effectiveness.
The ideal candidate will combine strong machine learning expertise with experience in GenAI agent development and scalable ML pipelines, enabling actionable insights for stakeholders across GDDI, Sales, Marketing, Sales Analytics, and Advanced Analytics functions.
Key Responsibilities
Develop and deploy predictive models for patient events (line switches, initiation)
Scale Next Best Action (NBA) solutions to optimize HCP engagement strategies across channels to various products
Apply advanced ML techniques including regression, classification, and NLP techniques
Create multi touch attribution pipelines for the customer journeys and optimization
Integrate GenAI capabilities into commercial workflows such as:
HCP engagement planning
Content personalization
Gen AI interfaces for ML pipelines
ML Engineering & Pipeline Development
Oversee build and maintenance of end-to-end ML pipelines including:
Data ingestion, feature engineering, model training, evaluation, and deployment
Implement MLOps best practices:
Model versioning, monitoring, and retraining pipelines
CI/CD integration for scalable deployment
Work with modern data platforms (e.G., Databricks, AWS)
Commercial Strategy & Stakeholder Support
Partner with Sales, Marketing, and Sales Analytics teams to translate business problems into analytical solutions
Deliver actionable insights and recommendations to senior stakeholders
Collaborate with:
Advanced Analytics teams (modeling and experimentation on alerts)
Data Engineering teams (data pipelines and infrastructure)
Business stakeholders (Sales, Marketing, Market Access)
Act as a bridge between technical and business teams, ensuring adoption of advanced analytics and AI solutions
Data Management & Compliance
Work with large-scale healthcare datasets such as:
Claims, EHR/EMR, CRM, and digital engagement data
Ensure compliance with data privacy and regulatory standards (e.G., HIPAA)
Required Qualifications
Education
Master s or PhD in:
Data Science
Computer Science
Statistics
Operations Research
Mathematics or a related quantitative discipline
Experience
5-7+ years (Master s) or 3 5+ years (PhD) in:
Data science, machine learning, or advanced analytics
Pharmaceutical / life sciences commercial analytics preferred
Healthcare analytics or consulting experience
Technical Skills
Core Data Science
Proficiency in:
Python (preferred) or R
SQL
Strong understanding of:
Machine learning algorithms (supervised/unsupervised learning)
Statistical analysis and experimental design
GenAI & Modern AI Stack
Hands-on experience with:
Large Language Models (LLMs) and GenAI frameworks
Prompt engineering and RAG architecture
Agent-based AI systems (e.G., LangChain, MCP, A2A, AutoGen)
Familiarity with:
Vector databases and embeddings
API-based AI integrations
ML Engineering / MLOps
Experience with:
Overseeing ML pipelines (training deployment monitoring)
Tools such as Databricks, Azure ML, AWS SageMaker
Knowledge of:
Model deployment, REST APIs, containerization (Docker)
CI/CD pipelines for ML systems
Visualization & Communication
Ability to build apps for demo purposes using Databricks
Experience with BI tools (Power BI, Tableau)
Strong storytelling skills to communicate insights effectively
Domain Expertise (Preferred)
Pharmaceutical commercial domain experience, including:
Patient journey and longitudinal data analysis
HCP targeting and segmentation
Omnichannel marketing analytics and campaign optimization
Experience in:
Next Best Action (NBA) frameworks
Sales force effectiveness
Promotional response modeling especially Multi- touch Attribution
Key Competencies
Strong problem-solving mindset with business acumen
Ability to bridge AI innovation with commercial impact
Excellent stakeholder management and communication skills
Experience working in cross-functional, global teams
High attention to detail and commitment to quality
What Success Looks Like
Delivering scalable AI/ML and GenAI solutions that drive commercial insights
Enabling smarter, real-time decision-making for Sales and Marketing teams
Successfully deploying GenAI agents and production-grade ML pipelines
Becoming a trusted partner within the Global Data & Digital Innovation organization
Meet Your Recruiter
Medhaj Gajjar
LanceSoft logo

About LanceSoft

Sourced by ZipRecruiter

Established in 2000, LanceSoft is a Certified MBE and Woman-Owned organization. Lancesoft Inc. is one of the highest rated companies in the industry. We have been recognized as one of the Largest Staffing firms and ranked in the top 50 fastest Growing Healthcare Staffing firms in 2022. Lancesoft offers short- and long-term contracts, permanent placements, and travel opportunities to credentialed and experienced professionals throughout the United States. We pride ourselves on having industry leading benefits. We understand the importance of partnering with an expert who values your needs, which is why we're 100% committed to finding you an assignment that best matches your career and lifestyle goals. Our team of experienced career specialists takes the time to understand your needs and match you with the right job Lancesoft has been chosen by Staffing Industry Analysts as one of the Best Staffing Firms to Work for.LanceSoft specializes in providing Registered Nurses, Nurse Practitioners, LPNs/LVNs, Social Workers, Medical Assistants, and Certified Nursing Assistants to work in Acute Care Centers, Skilled Nursing Facilities, Long-Term Care centers, Rehab Facilities, Behavioral Health Centers, Drug & Alcohol Facilities, Home Health & Community Health, Urgent Care Clinics, and many other provider-based facilities.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Herndon, VA, US

Year founded

2000

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