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Remote Data Extraction Jobs in Boston, MA (NOW HIRING)

Data Scientist

Cambridge, MA · On-site +1

$114K - $133K/yr

... pipelines Extract, Transform, and Load using Data warehouse solutions including Databricks ... Flexible work models, including remote and hybrid work arrangements, where possible Apply now and ...

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and ...

AI/ML Engineer - Remote

Boston, MA · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and ...

AI/ML Engineer - Remote

Boston, MA · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and ...

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and ...

Senior Data Engineer

Boston, MA · Remote

$140K - $180K/yr

Strong experience building and maintaining ETL/ELT pipelines in production environments ... This role is primarily remote, US-based, and operates largely in EST hours, with occasional travel ...

Showing results 21-40

Remote Data Extraction information

What is remote data extraction?

Remote data extraction is the process of retrieving and collecting data from various sources—such as websites, databases, or documents—without being physically present at the source location. This is typically achieved using specialized software, scripts, or tools that can access and gather data over the internet or through remote connections. Professionals in this field often automate data collection tasks to save time and improve accuracy, especially when dealing with large volumes of information. Remote data extraction is commonly used for business intelligence, market research, competitive analysis, and data migration projects.

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

To thrive as a Remote Data Extraction Specialist, you need proficiency in data analysis, attention to detail, and experience with data extraction and transformation techniques, often supported by a degree in computer science, information systems, or a related field. Familiarity with tools such as SQL, Python, web scraping frameworks (like BeautifulSoup or Scrapy), and data management platforms is typically required. Strong problem-solving skills, self-motivation, and effective communication are valuable soft skills for excelling in a remote environment. These abilities ensure accurate data collection, efficient workflow, and reliable delivery of insights for business or research needs.

What are some common challenges faced in a remote data extraction role and how can they be addressed?

One common challenge in remote data extraction is ensuring data accuracy while working independently, especially when dealing with large and diverse datasets. Discrepancies can arise from inconsistent data formats or sources, so developing strong attention to detail and utilizing reliable extraction tools is critical. Another challenge is communication, as collaborating with data analysts or project managers remotely requires proactive updates and clear documentation. To address these issues, it's helpful to establish regular check-ins with your team, use standardized data templates, and stay organized with project management software.

What is the difference between Remote Data Extraction vs Remote Data Entry?

AspectRemote Data ExtractionRemote Data Entry
Primary FocusExtracting data from various sources like websites, PDFs, or imagesInputting data into databases or spreadsheets
Skills RequiredWeb scraping, data analysis, attention to detailTyping speed, accuracy, basic computer skills
Tools UsedWeb scraping software, OCR tools, data management platformsExcel, Google Sheets, data entry software
Work EnvironmentMostly independent, often project-basedConsistent, repetitive tasks

Remote Data Extraction involves retrieving data from various sources, requiring technical skills like web scraping and data analysis. Remote Data Entry focuses on inputting data accurately into systems, emphasizing speed and precision. Both roles are remote-friendly but differ in technical complexity and daily tasks.

What are the most commonly searched types of Data Extraction jobs in Boston, MA?

The most popular types of Data Extraction jobs in Boston, MA are:

Data Scientist

Cambridge, MA • On-site, Remote

$114K - $133K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 22 days ago


Job description

Career CategoryProcess DevelopmentJob Description

Join Amgen's Mission of Serving Patients

At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.

Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.


Data Scientist

Duties: Apply statistical trending tools to product and method data Apply engineering principles and multivariate statistical analysis in-order to understand sources of variation and evaluate opportunities for improvements; Use data analytics software to develop visualizations to review, assess, and improve analytical method performance; Interface with analytical scientists, process development scientists, and engineers to assess, understand, and support data consumption needs; Interface with product quality, QC, quality assurance, and manufacturing organizations to resolve method issues; Support ongoing GMP activities such as the generation of the annual product review documents, regulatory inspections, and process documentation; Stay abreast of new technologies and statistical approaches to recommend improvement; and Apply machine learning methodologies where appropriate for analyzing datasets. May telecommute.


Requirements: Position requires a Master's degree (or foreign equivalent) in Data Science, Computer Engineering or related field & completion of a university-level course, research project, internship, thesis, or one year of experience in the following:

Data analysis and visualization using tools including Power BI and Tableau

Develop data pipelines Extract, Transform, and Load using Data warehouse solutions including Databricks, Snowflake, and Amazon Redshift

Analyze time series data and performing statistical analyses and hypothesis testing;

Programming languages including Python and R;

AI/ML (Artificial Intelligence/Machine Learning) techniques including classification, regression, and anomaly-detection methods for predictive analytics and operational improvements;

Conducting research in AI/ML (Artificial Intelligence/Machine Learning) topics including deep learning, natural language processing (NLP), and predictive analytics for potential application; and

Machine Learning models including convolutional neural networks to understand protein structures.

Contact: Interested candidates please apply via https://careers.amgen.com/en/search-jobs and search for job #R-248084

Job type: Full-Time position. The annual salary range for this position in the U.S. is $114,088.00 - $133,117.00 per year. Also, this position offers stock, retirement, medical, life and disability insurance and eligibility for an annual bonus or for sales roles, other incentive compensation. For more details visithttps://careers.amgen.com/life-at-amgen/benefits/

What you can expect of us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.

The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.

In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:

  • A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts

  • A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan

  • Stock-based long-term incentives

  • Award-winning time-off plans

  • Flexible work models, including remote and hybrid work arrangements, where possible


Apply now and make a lasting impact with the Amgen team.

careers.amgen.com

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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