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Data Science Entry Level Remote Jobs in Georgia (NOW HIRING)

OVME

BI Development Manager (Fully Remote)

Atlanta, GA · On-site +1

BI Development Manager (Fully Remote) Department: Finance Employment Type: Full Time Location ... Work with data warehouse architects, data scientists, and data collection application engineers to ...

Canonical

Site Reliability Engineer

Atlanta, GA · On-site +1

$54.75 - $72.75/hr

... data science, AI, engineering innovation, and IoT. Our customers include the world's leading public ... Globally remote role The role We deploy and run OpenStack, Kubernetes, storage solutions, and open ...

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Data Science Entry Level Remote information

What are the key skills and qualifications needed to thrive as an entry-level remote Data Scientist, and why are they important?

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 are some typical challenges 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 are data science entry level remote jobs?

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 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 Georgia? The most popular types of Data Science Remote jobs in Georgia are:
What are popular job titles related to Data Science Entry Level Remote jobs in Georgia? For Data Science Entry Level Remote jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Data Science Entry Level Remote jobs in Georgia look for? The top searched job categories for Data Science Entry Level Remote jobs in Georgia are:
What cities in Georgia are hiring for Data Science Entry Level Remote jobs? Cities in Georgia with the most Data Science Entry Level Remote job openings:
Data Science Entry Level Remote jobs near you
Infographic showing various Data Science Entry Level Remote job openings in Georgia as of May 2026, with employment types broken down into 78% Full Time, 14% Part Time, 3% Temporary, and 5% Contract. Highlights an 100% Remote job distribution.
BI Development Manager (Fully Remote)

BI Development Manager (Fully Remote)

OVME

Atlanta, GA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago

Job description

BI Development Manager (Fully Remote)
Department: Finance
Employment Type: Full Time
Location: Atlanta, GA - Corporate Office
Description
OVME, pronounced "of me," is a retail medical aesthetic company that connects aspiring men and women with skilled healthcare providers in select cities nationwide. OVME combines an innovative, direct-to-consumer mobile platform with contemporary yet welcoming retail boutiques to deliver high-quality, minimally invasive cosmetic services. Our team is composed of creative technicians who provide solutions for "age-appropriate" skin health. We believe the needs of the medical aesthetics consumer have evolved beyond the industry landscape. We aim to create memorable experiences for all clients by thinking differently, instilling trust, approaching each conversation with generosity, and having fun in every appointment!
OVME made its debut in 2018, capturing the hearts with its unique approach to cosmetic medicine. The inaugural studio in Atlanta, GA received an overwhelming response and quickly won a devoted following. Today, OVME boasts an impressive network of 28 locations in 14 states and is one of fastest-growing brands in the field of medical aesthetics. Guided by our unwavering values of Memorable Experiences, Generosity, Trust, Thinking Differently, and Having Fun, we lead by example, fostering an environment that brings out the best in each of us, every single day.
Key Responsibilities
BI Infrastructure and Tools Management:
  • Evaluate and select appropriate BI tools and technologies to support the organization's BI initiatives.
  • Oversee the implementation, configuration, and maintenance of BI platforms, ensuring optimal performance and scalability.
  • Work with data warehouse architects, data scientists, and data collection application engineers to propose data schema and data flow optimization for reporting performance enhancements.
  • Collaborate with IT to integrate BI solutions with existing systems and databases.

Strategic Planning:
  • Work closely with executive leadership and department heads to understand business objectives and identify opportunities for leveraging data and analytics.
  • Develop and execute a comprehensive BI strategy aligned with organizational goals and objectives.
  • Stay abreast of industry trends and best practices in BI and analytics to continuously improve processes and methodologies.

Data Analysis and Insights:
  • Oversee the design and development of dashboards, reports, and data visualizations to provide actionable insights to stakeholders.
  • Perform in-depth analysis of complex datasets to uncover trends, patterns, and correlations that drive business decisions.
  • Interpret and communicate findings effectively to non-technical stakeholders, including executives and department heads.

Data Governance and Quality Assurance:
  • Establish and enforce data governance policies, standards, and procedures to ensure data accuracy, consistency, and security.
  • Implement quality assurance processes to validate the integrity of data sources and BI outputs.
  • Monitor and address data quality issues and discrepancies in a timely manner.

Skills, Knowledge and Expertise
A bachelor's degree or its foreign equivalent in information technology, management of information systems, computer science, or a related field, plus 2 years of experience as a business intelligence analyst or in a related role/occupation. In addition, the required prior experience must include:
  • 2 years of experience managing project timelines and coordinating cross-functional initiatives.
  • 2 years of experience managing or mentoring junior analysts, including assigning tasks, reviewing deliverables, and providing guidance on best practices.
  • 2 years of experience designing, building, and maintaining BI infrastructure, including data warehouses, ETL workflows, and reporting platforms.
  • 2 years of experience developing dashboards and reports using BI tools such as Power BI, Tableau, or Looker for cross-functional business teams.
  • 2 years of experience creating and maintaining ETL pipelines using tools such as Matillion, Hevo, Airbyte, Azure, or similar platforms.
  • 2 years of experience writing advanced SQL queries and utilizing Python for data extraction, transformation, and validation from large relational databases.
  • 2 years of experience working with stakeholders to define KPIs, build semantic models, and align reporting to strategic business goals.
  • 1 year of experience acting as the primary owner of BI platforms, responsible for administration, performance tuning, and user access controls.
  • 1 year of experience collaborating with engineering or IT teams to deploy and optimize data infrastructure in a cloud or hybrid environment.
  • 1 year of experience implementing data quality checks, lineage documentation, or governance protocols across BI assets.
  • 1 year of experience contributing to platform/tool evaluation or migration projects, including vendor comparison and transition planning.

Benefits
  • Competitive Pay and Bonus structure
  • 15 Days Paid Time Off
  • 13 Paid Holidays
  • Medical, Dental, and Vision coverage
  • Short- and Long-Term Disability, AD&D, and Life Insurance 100% company-paid
  • 401k Employee Contribution
  • 401k Employer Match
  • Employee Assistance Program (EAP) Resources
  • Employee Service Allowance
  • 50% Employee Retail Discount
  • Friends and Family Discount
  • Team Member Referral Bonus
  • Wellhub Membership

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