Associate Data Scientist

About the role

The Associate Data Scientist works with business stakeholders and technical teams to transform data into meaningful insights that support operational and strategic decision-making. This role contributes to analytics, reporting, visualization, and data science initiatives while gaining hands-on experience with modern analytics tools, data platforms, and methodologies. The ideal candidate is analytical, detail-oriented, and eager to develop their skills in a collaborative, data-driven environment.

Responsibilities

• Collect, clean, validate, and maintain data to ensure accuracy, quality, and reliability for reporting and analysis.
• Perform ad-hoc and recurring analyses to identify trends, patterns, and business insights.
• Prepare datasets and assist in exploratory data analysis to support business and operational initiatives.
• Develop and maintain dashboards, reports, and visualizations using Power BI, Excel, or similar tools.
• Support the development, testing, validation, and monitoring of predictive and statistical models under the guidance of senior team members.
• Apply basic statistical techniques to analyze data and support business decision-making.
• Assist in integrating and preparing data from multiple internal and external data sources.
• Collaborate with business stakeholders to understand requirements and translate them into analytical solutions.
• Document business requirements, user stories, and analytical processes.
• Communicate analytical findings and recommendations to both technical and non-technical audiences.
• Support data quality initiatives and help identify opportunities to improve data collection processes.
• Partner with data engineering and development teams to support analytics and reporting initiatives.
• Use SQL, Python, Excel, and other analytical tools to support data analysis and reporting activities.
• Participate in Agile ceremonies and use Azure DevOps to track work items and project progress.

Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Information Systems, Engineering, or a related field
• 0-2 years of experience in data analytics, business analytics, or data science roles
• Experience through internships, academic projects, or professional work involving data analysis and reporting
• Working knowledge of SQL and Python
• Experience with Power BI, Excel, or similar data visualization tools
• Understanding of basic statistical concepts and data analysis techniques
• Strong analytical, problem-solving, and critical-thinking skills
• Strong attention to detail and commitment to data quality
• Ability to communicate findings clearly to technical and non-technical audiences
• Experience gathering, documenting, and interpreting business requirements
• Familiarity with Agile methodologies and tools such as Azure DevOps or Jira
• Ability to work collaboratively with cross-functional business and technical teams

Preferred qualifications

• Experience working with cloud-based data platforms such as Azure, Snowflake, etc.
• Familiarity with software development lifecycle (SDLC) concepts and version control tools
• Exposure to AI-assisted analytics, generative AI, or emerging data science technologies
• Experience working with enterprise data environments and data governance practices

Pay

The estimated salary range for this position is $62,700 to $83,000 USD and is based on multiple factors, including job-related knowledge/skills, experience, geographical location, as well as other factors. This position is eligible for annual bonus compensation with a target payout of 5% of the base salary.

Benefits

• Health benefits such as medical, dental and vision
• Wellness benefits such as mental and financial health
• Retirement savings (401K) commensurate with the standard rewards offered in each individual location or country
• Paid time off including vacation (15 days), holiday and personal days (totaling 12 days) and sick time off (72 hours)