ZipRecruiter

Log In

2

Remote Data Science Jobs in Hickory, NC (NOW HIRING)

Devoteam

Data & AWS DevSecOps (100% Remote)

Alexis, NC · On-site +1

$59.75 - $76.75/hr

University degree in Computer Science, Telecommunications Engineering or a related technical field ... Strong knowledge of data architectures and Cloud environments , particularly AWS . * Experience ...

SPECTRAFORCE

Medical Safety Physician

Lincolnton, NC · Remote

Medical Safety Physician 6-month assignment 100% Remote What are the three most important ... Provides medical, scientific and therapeutic expertise on pharmacovigilance services. Participates ...

Spectra force

Medical Safety Physician

Lincolnton, NC · On-site +1

Provides medical, scientific and therapeutic expertise on pharmacovigilance services. Participates ... data, to maintain oversight of a product's safety profile • Provide coding review of AEs, Past ...

All JobsData Science JobsRemote Data Science JobsRemote Data Science Jobs in Hickory, NC

Remote Data Science information

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

What are the key skills and qualifications needed to thrive as a remote data scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

Can I work remotely as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.
More about Remote Data Science jobs

What are the most commonly searched types of Data Science jobs in Hickory, NC?

The most popular types of Data Science jobs in Hickory, NC are:

What are popular job titles related to Remote Data Science jobs in Hickory, NC?

For Remote Data Science jobs in Hickory, NC, the most frequently searched job titles are:

What job categories do people searching Remote Data Science jobs in Hickory, NC look for?

The top searched job categories for Remote Data Science jobs in Hickory, NC are:

What cities near Hickory, NC are hiring for Remote Data Science jobs?

Cities near Hickory, NC with the most Remote Data Science job openings:

Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Hickory, NC as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data & AWS DevSecOps (100% Remote)

Devoteam

Alexis, NC • On-site, Remote

$59.75 - $76.75/hr

Full-time

Medical

Posted 8 days ago

Job description

Descripcion de la empresa

Are you passionate about working with data platforms, Cloud and security, helping large organizations evolve their data architectures and products?

At Devoteam, we are looking for a DevSecOps professional specialized in Data and AWS to join a strategic project within a large organization, collaborating with Data, Architecture, Security and Development teams.

You will act as a technical reference for different teams, contributing to the evolution of the data platform while ensuring best practices in architecture, security, governance and observability.

100% remote working model from Spain, with a preference for candidates based in Madrid, Barcelona, Valencia, Bilbao, or Zaragoza.

Descripcion del empleo

WHAT WILL YOU DO AT DEVOTEAM?

You will work as a DevSecOps professional within the Data ecosystem, contributing to the evolution and operation of data platforms and products in Cloud environments.

Your main responsibilities will include:

  • Acting as a technical point of contact for Data & Analytics, providing support and guidance on technical needs and incidents related to different use cases.
  • Analyzing and estimating new requirements, particularly those related to data platform components and data products.
  • Advising on the Data reference architecture and validating architectures proposed for new projects.
  • Collaborating on the definition and evolution of data platform components, ensuring alignment with corporate standards.
  • Supporting the definition of the architecture for new data products and use cases.
  • Advising technical teams on architecture, development, security and operational best practices.
  • Contributing to improvements in governance, security, documentation, observability and cost management across the data platform.
  • Participating in the technical assessment of new profiles and vendors, including interviews and candidate evaluations.
  • Maintaining and reviewing technical documentation related to the data architecture and platform.
Requisitos

WHAT ARE WE LOOKING FOR?

  • More than 5 years of experience in IT and Data environments, particularly in roles related to DevSecOps, architecture or data platforms.
  • University degree in Computer Science, Telecommunications Engineering or a related technical field.
  • Strong knowledge of data architectures and Cloud environments, particularly AWS.
  • Experience with Python, SQL and databases, as well as Big Data technologies and ecosystems.
  • Knowledge of Cloud and Data security, including IAM, permissions and roles, access management, encryption, anonymization and data segregation.
  • Experience with automation, Infrastructure as Code, ETL/orchestration, monitoring and observability tools.
  • Knowledge of ITIL processes and Agile methodologies such as Scrum and Kanban.
  • Ability to act as a technical reference, advising different teams and aligning technology decisions with business needs.
  • B2-C1 level of English.

Experience with technologies such as Snowflake, DynamoDB, Spark, Hadoop, Airflow, Terraform, CloudFormation, Glue, OpenSearch/Elastic, Kibana, Denodo, Starburst or similar tools will be considered a plus.

Informacion adicional

WHAT WILL YOU FIND AT DEVOTEAM?

At Devoteam, we believe technology has a greater impact when combined with people's talent.

We offer:

  • Salary according to your experience.
  • Annual incentive - we succeed together: on top of your salary, you'll be eligible for additional compensation based on your individual, team, and Devoteam goals.
  • Flexible compensation, with options including transportation, childcare, health insurance and meal benefits.
  • Benefits and perks for Devoteamers, including access to a wide range of discounts, physiotherapy services and free English classes.
  • Career development and professional growth, with access to training, certifications and annual performance reviews.
  • Working model: 100% remote.
  • The opportunity to participate in technology projects for large organizations, working in an international and multidisciplinary environment.

Apply