What We Are Looking For: We are seeking a dynamic and visionary individual to lead Data Science at Arable Labs, reporting directly to the CEO. Data is the core of our business, and we are scaling a unique global network that provides unprecedented access to high-quality data in agriculture and beyond. This is a rare opportunity to join a great team, help lead a growing startup, and become an industry leader. You will be tackling real-world problems with the potential for a significant positive impact on the world. This is a hands-on leadership role where you will actively contribute to the technical work while guiding the team. If you are excited by these challenges, this might be the role for you. What We Do: At Arable, our mission is to connect all the world's farms and provide the highest-quality data to power predictive analytics, optimizing the global food system. The need to rethink how we feed an ever-growing population and manage our natural resources has never been greater. We believe the heart of the solution lies in digitizing the analog world with high-fidelity data to help food producers optimize their operations. If successful, our work will improve the lives of farmers, address greenhouse gas emissions, and contribute significantly to securing the global food supply for decades to come. Example of work <ul><ul><li>Helping farmers in Nebraska in managing water more efficiently and sustainably to protect our water supply.</li><li>Building agricultural climate data networks in Africa to help farmers be more resilient and adapt to climate change.</li><li>Providing farmers in California with tools to save water, reduce risk and minimize waste.</li></ul>></ul> What You Will Do: <ul><ul><li>Solve complex, real-world problems that directly impact the agriculture industry and beyond.</li><li>Actively participate in hands-on technical work, including Modeling, developing, and deploying ML solutions.</li><li>Lead the end-to-end lifecycle from concept to production of critical predictive services and products.</li><li>Develop and implement a robust data science roadmap in cooperation with product management.</li><li>Provide ongoing insights and improvements in data quality.</li><li>Leverage ML solutions to enhance the quality and value of sensor data streams.</li><li>Build and manage a high-performing data science team.</li><li>Report to the CEO and work closely across the management team to optimize organizational collaboration.</li></ul></ul> Experience and Skills: <ul><ul><li>Proven track record of continuous development and staying current in a rapidly changing field.</li><li>Strong experience and interest in growing and leading teams.</li><li>Proven ability to balance hands-on technical work with leadership responsibilities.</li><li>Practical experience with Machine Learning methods and common cloud-based data analysis tools and frameworks (Hadoop, Redshift, SageMaker, Spark, SQL, R, etc.).</li><li>Extensive experience with Machine Learning development in Python.</li><li>Experience with modern Machine Learning frameworks such as TensorFlow or Torch.</li><li>Experience with Machine Learning cloud services on Google, AWS, or Azure.</li><li>Practical understanding of building, cleaning, and operationalizing data sets.</li><li>Strong mathematical and statistical background.</li><li>Domain knowledge of agronomics, plant biology, weather, environmental, and spatial data is a plus.</li><li>Experience with startups is a plus.</li><li>Ability to achieve operational excellence by instilling a data-driven mentality across the organization.</li><li>Developing operational metrics and KPIs that are meaningful to the business and ensure successful outcomes.</li><li>Advanced Degree in Agronomy, Computer Science, Applied Mathematics, Statistics, or another scientific field.</li></ul></ul> What We Offer: At Arable, you will be joining a company of dedicated team players who bring together diverse expertise and a passion for building a more sustainable future. You'll find no shortage of lively conversation around the lunch table about the food we eat and how it is produced. We are a fast-moving startup committed to providing a rewarding employee experience through the work we do, the team, compensation, and benefits, including: Excellent medical, dental, vision, life, disability benefits, and a 401k Program. Ability to work closely with customers who are hungry for our product and where we can make a positive impact on their livelihood and the world. A focus on community involvement and career development. We are an equal-opportunity employer and value diversity at our company. We are committed to creating an inclusive environment for all employees.

Head of Data Science, Monetization
 
 About the Company
 Top-tier education technology company
 Industry Information Technology and Services
 Type Privately Held
 
 
 
 
 
 
 About the Role
 The Company is in search of a Head of Data Science for Monetization. The successful candidate will be a visionary leader in the field of data science, with a specific focus on driving the company's monetization strategy and premium product offerings. This role involves close collaboration with the Head of Revenue and managing a team of talented Data Scientists. The primary responsibilities include serving as a senior leader in a cross-functional team, addressing a variety of product and business challenges, and using data to enhance user experiences and increase revenue. The Head of Data Science will also be expected to design and lead data science initiatives, influence strategic decisions, and solve complex business problems.

Applicants for the Head of Data Science position should have a minimum of 8 years' of experience in data science and product analytics, with at least 4 years' in a leadership role. The role requires a proven track record in the consumer technology sector, proficiency in SQL for large datasets, expertise in designing and analyzing A/B tests, and a strong knowledge of driving subscription revenue growth. Experience in consumer marketplaces, a background in fast-paced startup environments, and excellent communication skills are also essential. The ideal candidate will be a strategic thinker with a focus on product development and will be expected to partner with the VP of Data to refine and expand the company's vision for data science.
 
 
 
 Travel Percent Less than 10%
 Functions
 <ul>
 <li>Data Management/Analytics</li><li>Sales/Revenue</li><li>Account Management/Optimization</li>
 </ul>

In a world where healthcare can feel like a maze of bureaucracy and frustration, Mochi Health offers a refreshing oasis. We're not just another telehealth clinic - we're on a mission to rewrite the script on healthcare, starting with the most overlooked areas of medicine. With a dream team of top-tier providers, a commitment to evidence-based practices, and a flair for efficient design, we're reshaping the landscape of patient care across the US. As a rapidly growing telehealth obesity clinic, our goal is to make weight management accessible and affordable for everyone. Founded by the visionary Dr. Myra Ahmad and supported by a team of exceptional founders and medical professionals, we aim to deliver holistic, patient-centered care that truly makes a difference. As our team expands rapidly, we're proud to call San Francisco our home. Ready to join a team that's changing the game in healthcare? Come be a part of something big at Mochi Health! Responsibilities: <ul><li>Oversee the execution of a team's analytics strategy. Guiding their team on the usage of tools, methodologies and ensuring their team is tracking towards goals and project deadlines.</li><li>Implement best practices in support of data & analytics projects to drive consistency and standardization of data usage and analytics practices.</li><li>Oversee the construction of predictive models, data pipelines and analytics workflows in the support of operational and analytics objectives.</li><li>Work with partners to translate business needs into technical plans, identify available data, communicate findings and results, and develop implementation tactics.</li><li>Identify internal and external data sources, construct analytical databases and develop data pipelines that enhance business performance.</li><li>Discuss data transformation, integration, and reporting requirements with both technical and non-technical audiences.</li></ul> Requirements: <ul><li>Bachelor's degree in Information Technology, Mathematics, or Statistics preferred.</li><li>A minimum of 5+ years hands-on experience acting as a Data Engineer, BI Analyst or Data Scientist. Based on specific team composition and goals one discipline may carry more weight than the others.</li><li>Prior leadership and/or management experience preferred.</li><li>Proficient in using operations research tools and software, such as Python</li><li>Strong analytical and quantitative skills, with expertise in data analysis, modeling, and simulation</li><li>In-depth understanding of data profiling, statistical analysis and data modeling concepts</li><li>Adept in extracting, loading and leveraging data in data warehouse, transactional databases, object stores & API based environments</li><li>Data Architecture and Infrastructure: Good understanding of data architecture principles and related infrastructure requirements, covering on-prem and Cloud platforms.</li><li>Strong problem solving, programming and project management skills.</li><li>Excellent ability to interpret or correlate an extensive variety of information and decompose complex analytical and technical problems and translate them into simple business solutions to be presented to key stakeholders.</li><li>Ability to think conceptually, handle ambiguity, solve complex problems and make thoughtful recommendations.</li><li>Excellent communications skills and abilities working with all corporate levels and external contacts.</li></ul> Benefits: <ul><li>Medical/Dental/Vision Insurance</li><li>Company Paid Life Insurance</li><li>401k with Company matching</li><li>Competitive PTO and Company Holidays</li><li>Team lunches to facilitate bonding and connection</li><li>Emphasis on Wellness: Group activities, mindfulness exercises, physical exercise</li><li>Frequent office hangouts and meetups outside of work</li></ul> This role will be onsite 5 days a week in our San Francisco office.

Aircall is a place where voices are valued. Backed by over $220 million of investment since 2015, we create technology that fuels accessible, transparent and collaborative communication to empower our base of 18,000+ customers (and growing) to make authentic, human connections. Conversation is a cornerstone of our culture. Wherever our people find themselves in the Aircall world - Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, or at home - everyone has a voice that is valued. Whatever your background, wherever you're from - we want you to join the conversation. Let's talk. About the Team: The data team is the backbone of Aircall's decision-making approach. We deliver cutting-edge data products, tools, and actionable insights that drive revenue, profitability, product development, and a delightful customer experience. Aircall is seeking an innovative and strategic Head of Data Science to lead our data team and drive impactful initiatives across data science, analytics, and data engineering. In this pivotal role, you will shape our vision and strategy for leveraging data to optimize operations and drive business success. You will oversee the entire lifecycle of data projects from ideation to production and continuous improvement, and play a critical role in building and growing a world-class data team. This role can be based in our San Francisco office, New York office, or Paris HQ. What you'll do: <ul><ul><li>Define and execute Aircall's data strategy, aligning it with organizational goals.</li><li>Lead groundbreaking projects that leverage AI, machine learning, analytics, and data engineering techniques to optimize operations and drive business success.</li><li>Take ownership of the entire lifecycle from model design, training, productionization, and incremental enhancement.</li><li>Foster a culture of experimentation by designing and scaling rigorous A/B tests to measure business impact.</li><li>Educate teams on current and emerging research, technologies, and best practices for leveraging ML, AI, and advanced analytics in product design and development.</li><li>Collaborate with data engineering and AI Platform teams to identify upcoming requirements and continuously evolve our data platform offering.</li><li>Establish best practices in data science, analytics, and data engineering, and mentor future team members to maintain high standards in data governance and insight generation.</li><li>Communicate effectively with stakeholders across various technical levels, articulating insights and recommendations about your solutions.</li><li>Cultivate trust with stakeholders by consistently addressing their true fundamental needs and challenges.</li></ul></ul> What you'll bring: <ul><ul><li>10+ years of data science, machine learning, or statistical modeling experience, with at least 3 years in a leadership role.</li><li>Experience implementing theoretical models in an applied environment.</li><li>M.S. or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field.</li><li>Strong interest in delivering data-driven solutions using ML and AI.</li><li>Proficiency in data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software.</li><li>Solid understanding of statistics, machine learning, operations research, and causal inference. Knowledge of NLP or Bayesian testing is a plus.</li><li>Insatiable curiosity and bias toward action.</li><li>Proven track record of building and leading high-performing data science teams.</li></ul></ul> $200,000 - $270,000 a year This is not including equity and other benefits. The actual salary offered will carefully consider a wide range of factors, including your skills, qualifications, and experience. Aircall is constantly moving forward. We're building new roads to complete our journey, and we're taking people with us who have the same builder mentality. Let's grow together: Aircall is a place for those who dare to be bold and seek responsibility, excellence, and the opportunity to push themselves to new heights. We're creating a place where great people trust one another and thrive together. People flourish at Aircall and now is the time to be part of the team and the journey we're on. Why join us? Key moment to join Aircall in terms of growth and opportunities Our people matter, work-life balance is important at Aircall Fast-learning environment, entrepreneurial and strong team spirit 45+ Nationalities: cosmopolite & multi-cultural mindset Competitive salary package & equity Medical, dental, and vision insurance is 100% covered 401k plan with company matching! Unlimited PTO - take the time you need to come to work feeling great! Wellness, commuter, and childcare reimbursements Generous parental leave policy DE&I Statement: At Aircall, we believe diversity, equity and inclusion - irrespective of origins, identity, background and orientations - are core to our journey. We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We're working to create a place filled with diverse people who can enrich and learn from one another. We're committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive. We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn. Want to know more about candidate privacy? Find our Candidate Privacy Notice here.

Head of Data Jobs in San Francisco, CA

Head Of Data Science
September 1, 2024

Head Of Data Engineering
August 21, 2024

Head Of Data Science
August 15, 2024

Head Of Data San Francisco
August 14, 2024

Head Of Data Science Monetization
August 12, 2024

Head Of Data
August 12, 2024

Head Of Data Science
August 12, 2024

Head Of Data Engineering
August 10, 2024

Quick filters

Top companies

Head of Data Jobs in San Francisco, CA

Head Of Data ScienceSeptember 1, 2024

Head Of Data EngineeringAugust 21, 2024

Head Of Data ScienceAugust 15, 2024

Head Of Data San FranciscoAugust 14, 2024

Head Of Data Science MonetizationAugust 12, 2024

Head Of DataAugust 12, 2024

Head Of Data ScienceAugust 12, 2024

Head Of Data EngineeringAugust 10, 2024