<div><span style="font-size:16px;">At BETA Technologies, we apply our intellectual curiosity, passion for aviation, and commitment to sustainability toward a shared mission of revolutionizing electric aviation. Regardless of the position one holds, each team member brings their talent and desire to positively impact the environment and lives of others in a refreshing, vibrant, and inclusive culture.</span></div><div><br></div><div><span style="font-size:16px;">BETA is looking for a talented Data Scientist to join our Digital Products team. In this role, you will support BETA’s expanding test programs, fleet operations, and manufacturing processes by creating tools to extract meaningful insights from data, building machine learning models, and transforming data to create derived, structured datasets. The ideal candidate enjoys diving into technical domains, can articulately convey findings and insights, and has a passion for data-driven solutions built on modern cloud data architecture.</span></div><div><br></div><div><span style="font-size:16px;">Working as part of our collaborative Data Science team, you will engage directly with diverse stakeholders across the organization, dive into various subdomains, and directly impact critical business decisions. Together, we’re passionate about stewarding BETA's extensive datasets, building “Data for All” tools, empowering data-driven decision making, and extracting maximum value from our data assets.</span></div><br><br><h3>How you will contribute to revolutionizing electric aviation: </h3><ul><li>Maintain and develop data pipelines that extract, transform, and validate data from data lakes and other sources</li><li>Perform exploratory data analysis (EDA) to uncover trends and patterns</li><li>Build data exploration tools and dashboards for technical stakeholders</li><li>Develop, deploy and monitor machine learning models in production environments</li><li>Design and implement data quality checks and monitoring systems</li><li>Collaborate with cross-functional teams to address business problems with data-driven solutions</li><li>Effectively communicate with both technical and non-technical stakeholders, translating complex data concepts into understandable insights and recommendations</li><li>Work collaboratively with the Data Science team on technical design and architectural decisions while engaging directly with users to understand needs and iterate on solutions</li><li>Take ownership of code and algorithms, ensuring thorough documentation and knowledge sharing to eliminate single points of ownership</li><li>Conduct code reviews to maintain code quality, share knowledge, and uphold data science standards across the team</li><li>Identify opportunities to eliminate manual workflows through automation and improved tooling</li><li>Write clean, well-tested, production-ready code with comprehensive documentation following engineering best practices</li></ul><h3>Minimum Qualifications:</h3><ul><li>Master's degree in a related field (Data Science, Mathematics, Computer Science) or equivalent practical experience</li><li>5+ years of professional Data Science experience building and maintaining production-grade machine learning models, data pipelines, dashboards, and analytical tools</li><li>Proficiency in a statistical programming language (e.g., Python) with demonstrated ability to write clean, maintainable code</li><li>Experience with data manipulation libraries (e.g., Pandas, NumPy) </li><li>Proficiency in SQL and other database systems for data extraction and aggregation</li><li>Experience with machine learning frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch) </li><li>Knowledge of ETL/ELT processes, data pipeline design, and data modeling best practices</li><li>Experience with version control systems (Git), automated testing, and CI/CD practices</li><li>Experience with cloud platforms (e.g., AWS, GCP, or Azure) and their data services</li><li>Excellent problem-solving and analytical skills</li><li>Excellent written and verbal communication skills, with ability to present findings to non-technical stakeholders and collaborate effectively across cross-functional teams</li><li>A strong desire to learn and adapt in a fast-paced, dynamic environment</li></ul><h3>Above and Beyond Qualifications:</h3><ul><li>Experience in aviation, aerospace, engineering, or manufacturing, with contextual domain knowledge related to the components of BETA Technologies</li><li>Experience with data pipeline orchestration tools (e.g., Airflow)</li><li>Experience with dashboard and visualization tools (e.g., Grafana, Tableau, PowerBI)</li><li>Experience with DBT Core to build, test, and maintain data models</li><li>Familiarity with large-scale data processing tools (e.g., Spark, Hadoop)</li><li>Experience with knowledge graphs and graph databases (e.g., Neo4j, Amazon Neptune)</li><li>Familiarity with containerization technologies (Docker)</li><li>Experience deploying and using monitoring and alerting tools (e.g., Cloudwatch, Grafana)</li></ul><br><div><span style="font-size:18px;"><b>Build electric airplanes with us!</b></span></div><div><br></div><div><span style="font-size:16px;">BETA offers a competitive Total Compensation package designed to support you now and as you grow with us. This role includes both Restricted Stock Units and Performance Stock Units for all full-time team members, so everyone shares in our success. You’ll have access to onsite healthcare in Vermont, comprehensive medical coverage, dental and vision, short- and long-term disability, and paid parental leave. We also take care of the everyday details with daily lunch provided, and yes—flight lessons are part of the experience, along with a range of additional perks that make work here genuinely rewarding.</span></div><div><br></div><div><span style="font-size:16px;">We encourage all driven candidates to apply, even if they do not meet every listed qualification.</span></div><div><br></div><div><span style="font-size:16px;">We are an equal opportunity employer. Employment decisions are based on merit, competence and qualifications and will not be influenced in any manner on race, color, religion, age, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, disability, veteran or military status, genetic information, pregnancy, or any other protected characteristic under federal, state, or local law. BETA complies with all applicable federal, state and local non-discrimination laws and does not tolerate discrimination of any kind in our workplace.</span></div><div><br></div><div><span style="font-size:16px;">Employment offers are contingent upon the successful completion of a background check. BETA Technologies participates in E-Verify.</span></div>

<p class="break-words white-space-pre-wrap t-black--light text-body-medium">BETA Technologies is creating an electric transportation ecosystem that&rsquo;s safe, reliable and sustainable. A relentlessly focused team is building an extensive charging infrastructure and ALIA, the world&rsquo;s most technologically advanced electric vertical aircraft (EVA).</p>
<p class="break-words white-space-pre-wrap t-black--light text-body-medium">BETA&rsquo;s platform and products are strikingly simple. Prioritization of safety and a pragmatic approach to certification drive elegant redundancy, appropriate diversity of implementation and simplicity of control. ALIA&rsquo;s fixed-pitch propellers and centrally located batteries make it an inherently stable aircraft that is safe to fly and easy to maneuver.</p>

Data Scientist - Digital Products

<div><span>At BETA Technologies, we apply our intellectual curiosity, passion for aviation, and commitment to sustainability toward a shared mission of revolutionizing electric aviation. Regardless of the position one holds, each team member brings their talent and desire to positively impact the environment and lives of others in a refreshing, vibrant, and inclusive culture.</span></div><div><br></div><div><span>BETA is looking for a talented Data Scientist to join our Digital Products team. In this role, you will support BETA’s expanding test programs, fleet operations, and manufacturing processes by creating tools to extract meaningful insights from data, building machine learning models, and transforming data to create derived, structured datasets. The ideal candidate enjoys diving into technical domains, can articulately convey findings and insights, and has a passion for data-driven solutions built on modern cloud data architecture.</span></div><div><br></div><div><span>Working as part of our collaborative Data Science team, you will engage directly with diverse stakeholders across the organization, dive into various subdomains, and directly impact critical business decisions. Together, we’re passionate about stewarding BETA's extensive datasets, building “Data for All” tools, empowering data-driven decision making, and extracting maximum value from our data assets.</span></div><br><br><h3>How you will contribute to revolutionizing electric aviation: </h3><ul><li>Maintain and develop data pipelines that extract, transform, and validate data from data lakes and other sources</li><li>Perform exploratory data analysis (EDA) to uncover trends and patterns</li><li>Build data exploration tools and dashboards for technical stakeholders</li><li>Develop, deploy and monitor machine learning models in production environments</li><li>Design and implement data quality checks and monitoring systems</li><li>Collaborate with cross-functional teams to address business problems with data-driven solutions</li><li>Effectively communicate with both technical and non-technical stakeholders, translating complex data concepts into understandable insights and recommendations</li><li>Work collaboratively with the Data Science team on technical design and architectural decisions while engaging directly with users to understand needs and iterate on solutions</li><li>Take ownership of code and algorithms, ensuring thorough documentation and knowledge sharing to eliminate single points of ownership</li><li>Conduct code reviews to maintain code quality, share knowledge, and uphold data science standards across the team</li><li>Identify opportunities to eliminate manual workflows through automation and improved tooling</li><li>Write clean, well-tested, production-ready code with comprehensive documentation following engineering best practices</li></ul><h3>Minimum Qualifications:</h3><ul><li>Master's degree in a related field (Data Science, Mathematics, Computer Science) or equivalent practical experience</li><li>5+ years of professional Data Science experience building and maintaining production-grade machine learning models, data pipelines, dashboards, and analytical tools</li><li>Proficiency&nbsp;in a statistical programming language (e.g., Python)&nbsp;with demonstrated ability to write clean, maintainable code</li><li>Experience with data manipulation libraries (e.g., Pandas, NumPy)&nbsp;</li><li>Proficiency&nbsp;in SQL and other database systems for data extraction and aggregation</li><li>Experience with machine learning frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch)&nbsp;</li><li>Knowledge of ETL/ELT processes, data pipeline design, and data modeling best practices</li><li>Experience with version control systems (Git), automated testing, and CI/CD practices</li><li>Experience with cloud platforms (e.g., AWS, GCP, or Azure) and their data services</li><li>Excellent problem-solving and analytical skills</li><li>Excellent written and verbal communication skills, with ability to present findings to non-technical stakeholders and collaborate effectively across cross-functional teams</li><li>A strong desire to learn and adapt in a fast-paced, dynamic environment</li></ul><h3>Above and Beyond Qualifications:</h3><ul><li>Experience in aviation, aerospace, engineering, or manufacturing, with contextual domain knowledge related to the components of BETA Technologies</li><li>Experience with data pipeline orchestration tools (e.g., Airflow)</li><li>Experience with dashboard and visualization tools (e.g., Grafana, Tableau, PowerBI)</li><li>Experience with DBT Core to build, test, and maintain data models</li><li>Familiarity with large-scale data processing tools (e.g., Spark, Hadoop)</li><li>Experience with knowledge graphs and graph databases (e.g., Neo4j, Amazon Neptune)</li><li>Familiarity with containerization technologies (Docker)</li><li>Experience deploying and using monitoring and alerting tools (e.g., Cloudwatch, Grafana)</li></ul><br><div><span><b>Build electric airplanes with us!</b></span></div><div><br></div><div><span>BETA offers a competitive Total Compensation package designed to support you now and as you grow with us. This role includes both Restricted Stock Units and Performance Stock Units for all full-time team members, so everyone shares in our success. You’ll have access to onsite healthcare in Vermont, comprehensive medical coverage, dental and vision, short- and long-term disability, and paid parental leave. We also take care of the everyday details with daily lunch provided, and yes—flight lessons are part of the experience, along with a range of additional perks that make work here genuinely rewarding.</span></div><div><br></div><div><span>We encourage all driven candidates to apply, even if they do not meet every listed qualification.</span></div><div><br></div><div><span>We are an equal opportunity employer. Employment decisions are based on merit, competence and qualifications and will not be influenced in any manner on race, color, religion, age, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, disability, veteran or military status, genetic information, pregnancy, or any other protected characteristic under federal, state, or local law. BETA complies with all applicable federal, state and local non-discrimination laws and does not tolerate discrimination of any kind in our workplace.</span></div><div><br></div><div><span>Employment offers are contingent upon the successful completion of a background check. BETA Technologies participates in E-Verify.</span></div>

Data Scientist - Digital Products

About the Job

About the Company

Beta Technologies

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