Experienced Data Scientist - AI and Machine Learning Innovation for Global Product Impact

Introduction to Workwarp and the AIML Data Organization Imagine being part of a team that drives product impact through data-driven insights, shaping the user experience for hundreds of millions of people worldwide. At Workwarp, we're committed to harnessing the power of data to inform product evolution and improve customer satisfaction. Our AIML Data organization is at the forefront of this mission, leveraging advanced analytics, machine learning, and evaluation methods to enhance our products and services. As a key player in this organization, you will have the opportunity to collaborate with cross-functional teams, drive innovation, and contribute to the development of cutting-edge technologies. Job Summary We're seeking an experienced Data Scientist to join our Search Analytics team, where you will play a critical role in informing product evolution through measurement, evaluation, and analysis of the user experience. As a Data Scientist, you will partner with Search engineering teams to improve search quality, guide feature development with data, and deliver exceptional search experiences across various platforms, including iPhone, iPad, HomePod, Mac, Watch, and tv. If you're passionate about building outstanding products, driving product impact, and working with large, complex data sets, we encourage you to apply for this exciting opportunity. Key Responsibilities Research and develop evaluation methods to improve the quality of user-facing products, such as Siri and Search Collaborate with evaluation/experimentation engineering teams to translate methodological developments into technologies that product engineering teams can use daily Work with large, complex data sets to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed Conduct analysis, including data collection and quality control, requirements specification, processing, and presentations Build and prototype analysis pipelines iteratively to provide insights at scale Develop comprehensive knowledge of product data structures and metrics, advocating for changes where needed for product development Partner closely with product engineering teams on core machine learning algorithms and user experience evaluations Essential Qualifications To be successful in this role, you should have: A solid foundation in data science, machine learning, and evaluation, with hands-on experience in independently conducting and analyzing experiments Ability to take ownership of smaller analytical projects and contribute effectively to larger initiatives Proficiency in critical thinking, problem-solving, and collaboration with cross-functional teams to address business needs Strong communication skills for articulating and translating business questions into actionable insights using statistical techniques and available data Strong programming skills in Python for data processing, with expertise in SQL or Spark Proficient in data wrangling, and able to assist in prototyping data quality and evaluation pipelines, working alongside engineering teams to help solve data challenges Relevant internship or work experience for M.S. or Ph.D. candidates, or 3 years of relevant work experience for people with other degrees in quantitative fields Preferred Qualifications While not required, the following qualifications are preferred: Experience in generative model and application development, with a focus on data, evaluation, and automation Ability to adopt or implement established methodologies and apply statistical analysis in problem-solving Skills and Competencies To excel in this role, you should possess: Strong analytical and problem-solving skills, with the ability to think critically and creatively Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams Proficiency in programming languages, such as Python, and experience with data processing and analysis tools Strong understanding of machine learning and evaluation methods, with the ability to apply these concepts to real-world problems Ability to work with large, complex data sets and develop comprehensive knowledge of product data structures and metrics Career Growth Opportunities and Learning Benefits At Workwarp, we're committed to helping our employees grow and develop in their careers. As a Data Scientist, you will have access to: Ongoing training and development opportunities, including workshops, conferences, and online courses Mentorship and coaching from experienced professionals in the field Opportunities to work on high-impact projects and collaborate with cross-functional teams A culture that encourages innovation, creativity, and experimentation Work Environment and Company Culture Our company culture is built on a foundation of innovation, collaboration, and mutual respect. We believe in: Fostering a culture of inclusivity and diversity, where everyone feels valued and empowered to contribute Encouraging open communication, feedback, and transparency Providing a flexible and dynamic work environment that supports work-life balance Recognizing and rewarding outstanding performance and contributions Compensation, Perks, and Benefits We offer a competitive compensation package, including: A base salary range of $135,400 to $250,600, depending on skills, qualifications, experience, and location Opportunities to participate in discretionary employee stock programs and purchase company stock at a discount Comprehensive medical and dental coverage, retirement benefits, and a range of discounted products and free services Reimbursement for certain educational expenses related to advancing your career Discretionary bonuses or commission payments, as well as relocation assistance (if applicable) Conclusion If you're passionate about driving product impact through data-driven insights, building outstanding products, and working with a talented team of professionals, we encourage you to apply for this exciting opportunity. As a Data Scientist at Workwarp, you will have the chance to make a real difference in the lives of millions of people worldwide. Don't miss out on this opportunity to join our team and shape the future of our products and services. Apply today and let's build the future together! Apply for this job