6,115 AI jobs in the United States

Job Responsibilities Define creative solutions to business problems using advanced algorithms and models. Build and manage a high performing team. Use machine learning and predictive modeling to develop data driven solutions that drive substantial business value to the external consumers and internal stakeholders/partners. Work to instill data best practices around the organization. Help with process, methods, and education. ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. #J-18808-Ljbffr

Our client, based in San Francisco, is seeking a Director of Data Science for an immediate opportunity! Our client is hiring a Director of Data Science for the San Francisco office to lead the team and collaborate with business leadership. The role involves demonstrating and testing the value of algorithmic products used both internally and externally. The ideal candidate will be a proven leader with strong analysis and programming skills, and an exemplary understanding of statistics and hypothesis testing. Candidates will work with digital marketing teams across all business models, ensuring the proper data sources are utilized. Job Responsibilities: Lead and serve as a knowledge resource for data scientists, supporting and delivering AI/ML-based products. Collaborate with clients to test optimization strategies. Develop innovative solutions and proofs of concept with clients. Work with R&D and Product Engineering teams to build AI/ML products. Promote data-driven methodology and practices within the company. Engage with C-level leadership as a trusted advisor to influence data-driven decision making, maximizing the impact of Data Science outputs. ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer, inclusive of female, minority, disability, and veteran applicants. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status, or any other protected class. The company complies with applicable labor and employment laws and does not require U.S. citizenship or lawful permanent residency unless legally necessary. #J-18808-Ljbffr

Our client, based in San Francisco, is seeking a Director of Data Science for an immediate opportunity! The ideal candidate will be a proven leader, with deep analysis and programming skills and have an exemplary understanding of statistics and hypothesis testing. Candidates will work with digital marketing teams for all business models, statistics, and ensure the proper information required is provided from different data sources. Job Responsibilities: Be a leader and source of knowledge for the data scientist, to support and deliver AI/ML based products. Work with clients to test optimization strategies. Work with clients to develop innovative solutions and proofs of concept. Work with R&D and Product Engineering teams to build AI/ML based products. Foster Data driven methodology and practice within the company. Integrate deeply with C-level business leadership as a trusted and influential contributor to data-driven decision making, ensuring maximum impact of Data Science outputs. AUTOMATION TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). #J-18808-Ljbffr

Our Mission Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. Diversity at Altos We believe that diverse perspectives are foundational to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment. What You Will Contribute To Altos We have an opportunity available for a Data Scientist to work in the field of cells, genomics and related areas. Responsibilities Generate insights and models from multi-omics datasets (using public and internal data) to understand patterns, trends and relationships within data to inform decision-making and solve problems. Design, develops and programs methods, processes, and systems to extract, consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights. Build databases and is responsible for the curation of Data, including experimental data management. Extracting knowledge, insights and predictions from data using statistical methods, machine learning and data visualization. Work with scientists to identify optimal ways to prepare, annotate, store and navigate their datasets, including data application design and improvement. Define and document best practices for capturing and entering experimental metadata, and educate scientists and collaborators about these standards. Build pipelines for quality control, processing and analysis of raw targeted and un-targeted datasets. Develops and codes software programs and leverages algorithms and methodologies being developed by the scientific community for use cases of relevance to Altos Labs. Stay current with and adopt emergent analytical methodologies, tools and applications to ensure fit-for-purpose and impactful approaches. Partner closely with the Lab scientists and researchers to identify opportunities for data and insight mining to accelerate research. Embed analyses and visualizations in automated reports. Who You Are Minimum Qualifications PhD in interdisciplinary quantitative science such as Biology, Chemistry, Computer Science, Physics, etc. 1 - 5 years (Scientist I/II) or 5+ years (Senior Scientist) years of relevant work experience in either an academic or industry setting. Working knowledge of cell biology and experience in large scale data analysis and statistical modeling on datasets like RNA-seq, ATAC-seq, protein network, pathways, etc. Proven track record of completed scientific projects as evidenced by publications and preprints. Strong breadth and expertise in Statistical analysis, machine learning, data visualization, programming (Python, R, etc.), data cleaning and data manipulation. Tools: Python, R, SQL, TensorFlow, Scikit-learn, Tableau, Power BI. Ability to generate high quality ideas and be self-driven to explore. Strong experience in programming and comfortable modifying existing code-base. Experience with Python, R data cleaning and data manipulation or other related scientific languages. Willing to work in a collaborative environment and share periodic updates across the company. Preferred Qualifications Strong and demonstrable experience working in an AWS compute environment is a major advantage. Experience integrating prior knowledge from public databases (e.g., KEGG) into omics data analysis pipelines. The salary range for San Francisco Bay Area, CA : Scientist I, Data Science : $ 165,750 - $24,250 Scientist II, Data Science : 195,000 - 263,350 Senior Scientist I, Data Science: 229,000 - 313,950 The salary range for San Diego, CA : Scientist I, Data Science : 150,450 - 203,550 Scientist II, Data Science : 177,000 - 243,800 Senior Scientist I, Data Science: 212,000 - 292,100 Exact compensation may vary based on skills, experience, and location. - Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice ) - This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment. #LI-HYBRID What We Want You To Know We are a culture of collaboration and scientific excellence, and we believe in the values of inclusion and belonging to inspire innovation. Altos Labs provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Altos currently requires all employees to be fully vaccinated against COVID-19, subject to legally required exemptions (e.g., due to a medical condition or sincerely-held religious belief). Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging. 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UC San Diego Extended Studies provides continuing education, professional development, and workforce training to individuals looking to advance their careers. The Technology and Engineering department offers high-quality, industry-relevant courses de Data Science, Instructor, Science, Technology, Technical, Data

Understand and document the current marketing decision processes and the data pipeline used by the decision models. Document the data attributes needed for marketing decision/personalization processes and identify work involved in shifting left. Identify, define, and map attributes needed from source systems for marketing analytics and validate the quality of data. Work with the Marketing Business SPOC to identify and document the to-be marketing and personalization use cases. For each use case, determine the potential business value, i.e., the impact of the use case (ML) towards customer experience improvement, increase in topline, and increasing marketing and sales efficiency. For each use case, identify the value realization period and determine the data sources and minimal volume of data required. Work with the business to confirm and agree on the business KPI to be used for measuring the impact of the use case. Identify the baseline for the business KPI and also identify the steps and effort for automating the feedback loop so that KPIs are measured and reflected in an automated fashion. Create specifications for the Data Science Program Dashboard - identify the technical and business KPIs that will be measured throughout the course of the program. Nice to have: experience working with SAS - using Base SAS, SAS/Macros, SAS/SQL, SAS/STAT. #J-18808-Ljbffr