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Data Scientist for New Project

Budżet: $50.0 - $100.0 HOURLY / PART_TIME ⭐ 0.00 (0) United States

python, data-science, r, machine-learning, data-analysis

Preferowane kwalifikacje

  • Doświadczenie: Średniozaawansowany
We are seeking a skilled data scientist to join our team for our new project. The ideal candidate will possess a strong analytical mindset and experience in data analysis, modeling, and visualization. You will be responsible for interpreting complex data sets, conducting experiments, and providing actionable insights. If you have a passion for turning data into strategic decisions, we would love to hear from you! These are the measurements of success that we are trying to achieve for our social media video posts: Measuring Success: 1. Measuring Audience Reach and Engagement Platform Metrics: Track video views, article reads, podcast downloads, and social media impressions across platforms like TikTok, YouTube, Facebook, Bluesky and Instagram. Engagement Analytics: Measure likes, shares, comments, and click-through rates to assess audience interaction with content. Demographic Insights: Use platform-provided data to identify audience age, location, and interests, ensuring alignment with target demographics (e.g., underserved “news deserts”). 2. Evaluating Content Impact Sentiment Analysis: Apply natural language processing (NLP) techniques to assess sentiment in comments, reviews, and social media posts about get REAL’s content. Content Performance: Compare the performance of different types of content (e.g., videos vs. articles, short-form vs. long-form) to identify what resonates most with the audience. Retention Metrics: Monitor audience retention rates for video stories, podcasts, and live streams to gauge viewer engagement over time. 3. Geo-Targeting Effectiveness Targeted Delivery Metrics: Use proprietary data to track how effectively content is reaching audiences in "news deserts" or areas impacted by misinformation (“pink slime” media). Regional Engagement: Evaluate the reach and engagement levels within specific geographic regions, using zip code-level data. Audience Growth by Region: Analyze changes in audience size and engagement in target areas over time. 4. Monitoring Fundraising Effectiveness Donor Analytics: Track donor behavior, including average gift size, frequency of contributions, and donor retention rates. Campaign ROI: Measure the return on investment (ROI) for fundraising campaigns by comparing funds raised to campaign costs. Targeted Fundraising Metrics: Use data to evaluate the success of tailored fundraising strategies (e.g., corporate sponsorships, crowdfunding). 5. Assessing Partnerships Referral Data: Measure the traffic and contributions generated through partnerships with news organizations, corporations, and academic institutions. Collaborative Content Performance: Analyze the performance of co-produced content or joint campaigns with partners. Network Growth: Track the expansion of get REAL’s reach through partner networks and collaborative efforts. 6. Measuring Operational Efficiency Content Production Timelines: Monitor the time and resources required to produce videos, articles, and documentaries to identify bottlenecks and optimize workflows. Budget Utilization: Analyze how funds are allocated across operations, content production, and outreach efforts. Resource Impact Analysis: Assess the efficiency of resource use by comparing outputs (e.g., number of stories produced) to inputs (e.g., budget and staffing). 7. Tracking Audience Education and Behavior Knowledge Surveys: Use pre- and post-engagement surveys to measure changes in audience knowledge or awareness of key issues. Behavioral Changes: Monitor indicators such as increased sharing of verified news, reduced interactions with misinformation, or improved civic participation (e.g., voter registration). 8. Real-Time Reporting and Feedback Loops Dashboard Visualizations: Create real-time dashboards to visualize key metrics, enabling the team to make data-driven decisions quickly. A/B Testing: Use A/B testing to refine content strategies by comparing the performance of different formats, messaging, or delivery methods. Iterative Improvements: Continuously refine targeting, production, and fundraising strategies based on data insights. 9. Long-Term Impact Assessment Community Impact Studies: Conduct longitudinal studies to evaluate how get REAL content has influenced communities, including trust in journalism and civic engagement. Audience Retention Over Time: Analyze audience growth and retention rates to assess the sustainability of engagement strategies. Misinformation Combat Metrics: Track reductions in misinformation engagement in targeted areas, using third-party tools and research partnerships.
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