Job description
We are seeking a Data Scientist to support a large-scale data integration initiative in a fast-paced technology environment. This role will focus on analyzing and validating new data sources, uncovering insights, and helping stakeholders make data-driven decisions. The ideal candidate has strong analytical skills, experience working with complex datasets, and the ability to clearly communicate findings to both technical and business audiences.
Key Responsibilities
Analyze, validate, and assess new data sources to identify trends, patterns, and opportunities for business insight.
Develop data-driven recommendations and present findings to stakeholders.
Work with cross-functional teams to understand business requirements and translate them into analytical solutions.
Ensure data quality, integrity, and consistency across multiple data sources.
Support ongoing reporting, data exploration, and strategic initiatives.
Communicate analytical findings and project updates to leadership and business partners.
Required Qualifications
Proven experience as a Data Scientist or similar analytical role.
Strong expertise in data analysis, statistical modeling, and data interpretation.
Experience working with large and complex datasets.
Ability to translate business problems into actionable analytical solutions.
Strong problem-solving and critical-thinking skills.
Preferred Qualifications
Experience within the telecommunications, cable/media, or advertising industries.
Experience evaluating and integrating new or emerging data sources.
Familiarity with modern data platforms, reporting tools, and data visualization techniques.
Soft Skills
Excellent verbal and written communication skills.
Highly responsive, dependable, and accountable.
Strong attention to detail and commitment to quality.
Self-motivated with the ability to work independently and manage multiple priorities.
Collaborative team player who works effectively with both technical and business stakeholders.
Day-to-Day Activities
Evaluate and analyze new data sources to support ongoing business initiatives.
Collaborate with stakeholders to understand data needs and deliver actionable insights.
Perform data exploration, validation, and reporting activities.
Present findings, recommendations, and progress updates to project teams and leadership.
Support strategic data initiatives through analytical expertise and data-driven decision making.
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.