Data Science Assistant – Remote Opportunity

Drive Insightful Impact from Anywhere

Step into a role where your analytical thinking shapes meaningful outcomes. As a Data Science Assistant, you’ll collaborate with data scientists and analysts to fuel intelligent department decisions. This remote-first role is ideal for detail-driven professionals passionate about data modeling, statistical analysis, and data storytelling.

Key Responsibilities

Support Advanced Data Projects

• Assist with cleaning, transforming, and validating datasets from multiple sources.
• Collaborate on predictive modeling efforts to support strategic initiatives.
• Document processes to ensure repeatable, scalable work.

Assist in Reporting and Visualization

• Create visual dashboards to communicate insights using BI tools.
• Help develop ad hoc reports and performance metrics dashboards.
• Analyze patterns and translate findings into actionable outcomes.

Collaborate with Cross-Functional Teams

• Work alongside engineering, product, and marketing teams to align on KPIs.
• Translate stakeholder needs into structured queries and visualizations.
• Support project planning and data audit activities as required.

Tools and Technology Environment

Your daily toolkit will include:

Programming and Analysis Tools

• Python and R for scripting, data cleaning, and statistical analysis.
• SQL for database queries and extract-transform-load (ETL) processes.

Visualization and Collaboration Platforms

• Tableau, Power BI, or Looker can be used to build real-time dashboards.
• Git and version control systems are used to maintain clean data workflows.
• Collaboration via Slack, Notion, and Zoom for agile communication.

Work Environment and Culture

Fully Remote Flexibility

• Embrace the freedom to work from home, a co-working space, or while traveling.
• Coordinate across time zones in a results-driven environment.

A Culture of Learning and Curiosity

• Collaborate with seasoned analysts, engineers, and product leads.
• Join virtual workshops, lunch-and-learns, and training sessions.
• Contribute to meaningful data science discussions and decision-making.

Inclusive, Purpose-Driven Collaboration

• Be part of a team that values thoughtful communication and shared ownership.
• Work with a leadership team that supports continuous growth and recognition.

Required Qualifications

Must-Have Skills and Experience

• Bachelor’s degree in Data Science, Computer Science, Mathematics, or a related field.
• Proficiency in Python or R for exploratory data analysis.
• Solid understanding of data querying using SQL.
• Strong organizational skills and attention to detail.

Preferred Knowledge Areas

• Experience with cloud platforms like AWS or GCP.
• Exposure to machine learning models or statistical inference.
• Familiarity with A/B testing, time series forecasting, or regression analysis.
• Understanding of business intelligence practices in remote teams.

What Success Looks Like

• You help maintain clean, well-documented data pipelines.
• Your dashboards improve team efficiency and decision-making.
• You proactively identify trends and communicate findings to stakeholders.
• You contribute reliable, timely insights that directly support project goals.

Salary and Benefits

• Annual Salary: USD 88,553
• Remote-first work setup with flexible hours
• Health, dental, and vision insurance options
• Access to digital wellness and productivity tools
• Skill-building resources and sponsored certifications
• Regular recognition and performance bonuses

Career Path and Growth Opportunities

Start here—and grow fast. This position offers:

Advancement Opportunities

• A clear path to becoming a Data Scientist or BI Analyst.
• Direct mentorship from senior analytics professionals.
• Hands-on experience with machine learning workflows.
• A chance to own analytics projects that make a company-wide impact.

Your Impact Starts Now

Bring your analytical curiosity and growth mindset to a role that rewards precision, innovation, and collaboration. If you’re ready to help extract value from raw data and fuel smarter decisions, this is your calling.

Apply now and turn complex data into meaningful action.