Data Insights Strategist
hace 2 meses
We are seeking a highly skilled Data Insights Strategist to join our team at WhereTo, a business travel startup from San Francisco. As part of Flight Centre Travel Group, our mission is to open up the world for those who want to see.
About the OpportunityIn this role, you will play a pivotal part in applying advanced analytical techniques and machine learning models to uncover trends and opportunities that inform strategic priorities across the company. You will contribute to the design and ownership of our overall data strategy, ensuring data is used to its fullest potential to drive key decisions and long-term growth.
Key Responsibilities- Develop and implement statistical models, machine learning algorithms, and other advanced analytics to identify trends, predict outcomes, and uncover business opportunities.
- Design, own, and implement our data strategy as part of the data team, ensuring that data is effectively leveraged across the company to inform prioritization and strategic initiatives.
- Analyze large datasets from various sources, uncover patterns, and deliver actionable insights that inform product decisions and business strategies.
- Partner with Product, Engineering, and Data Analysts to translate complex data findings into strategic recommendations that help prioritize product development and operational improvements.
- Proactively develop insights and models to forecast trends, improve operational efficiency, and influence strategic direction.
- Communicate findings through clear visualizations, reports, and presentations tailored to both technical and non-technical stakeholders.
- 3+ years of experience in data science, with a focus on applying machine learning, predictive modeling, and statistical analysis to real-world problems.
- Proven experience designing and conducting A/B testing and experiments to optimize product features and validate business decisions.
- Strong proficiency in programming languages such as Python (required) and Node.js (preferred) for data manipulation, analysis, and model development.
- Experience with machine learning techniques, statistical analysis, data mining, and data visualization.
- Proficiency in working with neural networks and deep learning frameworks (e.g., PyTorch, TensorFlow) to develop and deploy advanced machine learning models.
- Experience working with both structured and unstructured data to inform analytical models and business insights.
- Experience with data processing tools (e.g., Apache Spark) and working in large-scale data environments (e.g., data lakes, warehouses).
- Proven ability to identify business challenges and apply data-driven solutions to address them.
- Ability to translate complex data analysis into actionable insights for non-technical stakeholders and collaborate with cross-functional teams.
- Experience in the travel or technology sector, applying data science to product or operational improvements.
- Familiarity with travel industry data (e.g., booking data, customer profiles, location data) is a plus.
- Familiarity with Microsoft Fabric.
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