Data Analyst/ Data Scientist

We are hiring  Data Analysts and Data Scientists based in the United States with 6+ months of hands-on experience in data analysis, data science, or analytics projects.

This role is for people who do not stop at finding insights. You should be someone who enjoys taking raw data, asking the right questions, building reliable workflows, and turning analysis into something others can actually use - reports, dashboards, models, apps, APIs, or decision-ready outputs.

The ideal candidate is comfortable working with Python, SQL, statistics, and real-world datasets, and is curious about how AI-powered platforms like Zerve can help data teams move faster from analysis to shareable outcomes.

What You Will Work On:

• Analyze structured and unstructured datasets to uncover trends, patterns, and business opportunities.
• Build data workflows using Python, SQL, notebooks, and modern AI-assisted tools.
• Create reports, dashboards, models, or deployed outputs that make analysis easy to consume.
• Work on projects across forecasting, finance, sports analytics, climate, customer behavior, operations, or business intelligence.
• Clean, transform, and validate datasets to ensure accuracy and reliability.
• Build and evaluate machine learning models where relevant, including regression, classification, forecasting, clustering, or ranking models.
• Communicate findings clearly through visualizations, documentation, and stakeholder-ready summaries.
• Experiment with Zerve to move faster from idea to analysis to final output.

Who Should Apply

• Have 6+ months of experience in data analytics, data science, business intelligence, machine learning, or related project work.
• Are comfortable using Python and SQL to solve data problems.
• Enjoy working with messy datasets and turning them into clear insights.
• Can explain not just what the data shows, but why it matters.
• Like building portfolio-worthy work that can be shared, reviewed, or deployed.
• Are curious about AI-assisted analytics and the future of data workflows.

Skills Required

• 6+ months of hands-on experience in data analysis, data science, analytics engineering, or machine learning projects.
• Python for data analysis, including pandas, NumPy, matplotlib, scikit-learn, or similar libraries.
• SQL for querying, joining, and transforming datasets.
• Strong analytical thinking and problem-solving ability.
• Basic understanding of statistics, data visualization, and machine learning concepts.
• Ability to clean, validate, and work with incomplete or messy datasets.
• Clear written communication and documentation skills.

Good to Have

• Experience with Streamlit, Plotly, Tableau, Power BI, Looker, or similar visualization tools.
• Exposure to model evaluation, feature engineering, forecasting, or experimentation.
• Experience working with public datasets from Kaggle, government databases, financial datasets, climate datasets, sports APIs, or business datasets.
• Familiarity with building notebooks, dashboards, APIs, reports, or data apps.
• Interest in AI tools that accelerate data workflows.

Eligibility

• Open to candidates based in the United States.
• Minimum 6+ months of experience in data analytics, data science, business intelligence, machine learning, or related project work.
• Suitable for early-career professionals, recent graduates with internship experience, and candidates with strong portfolio projects.
• Background in Data Science, Analytics, Statistics, Computer Science, Economics, Engineering, or related fields is preferred.
• Candidates must have a minimum of 6 months of hands-on experience through full-time roles or part-time roles.

Application Process

Shortlisted candidates will be invited to submit an online assignment.

Final selection will be based on analytical ability, clarity of thought, technical execution, and the ability to turn data into meaningful outputs.