Job Summary: The Principal Data Scientist will be responsible for coaching, mentoring, and managing the Data Science team as well as shaping the technical road map and standards for iHerb's products. This role assists in analyzing data from multiple sources to spot trends and gain insight that can give iHerb a competitive advantage. This individual will utilize ETL techniques, statistical analysis, machine learning/data mining techniques, data visualization skills and related tools/software to solve challenging problems and help lead the Data Science team to do the same. This role will set initiatives for Data Science team in mining data, visualizing results and collaborating closely with Technology teams to optimize our business with the ultimate goal of helping iHerb redefine the customer experience through our eCommerce platform Job Expectations: <ul><li>Sets initiatives of data science team with a focus on personalization and recommendation</li><li>Keeps up to date with state of the art technologies, algorithms, models and novel approaches in solving the problems in space.</li><li>Coach and mentor the team on best practices</li><li>Provide regular updates on projects and team performance</li><li>Lead the team's software architecture & design</li><li>Responsible for ownership of Data Science Projects</li><li>Prepare reports, manuals and other documentation on the status, operation and maintenance of software</li><li>Assist Technical Product Management in the collection and documentation of user's requirements, development of user stories, estimates and work plans</li><li>Guide team development efforts towards successful project delivery</li><li>Provide technical leadership to teammates through coaching and mentorship.</li><li>Creatively explore how to use data to continually add value and translate ad hoc questions into flexible methodologies that scale to answer broad problems across the organization</li><li>Research and develop methods for measuring and analyzing marketing spend effectiveness • </li><li>Partner with various teams to find new insights in iHerb's data, and building solutions that have a direct impact on our customers and your colleagues</li><li>Develop models to predict customer demand and operational efficiency.</li><li>Ability to define problems, collect data, establish facts, draw valid conclusions, and make recommendations for continuous improvement</li><li>Communicates data findings to both business and IT leaders to influence how an organization approaches and meets business challenges of an evolving customer base and changing marketplace, using strong business acumen.</li><li>Finds and recommends new uses for existing data sources; designs, modifies, and builds new data processes; and builds large, complex data sets.</li><li>Conducts statistical modeling and experiment design, and tests and validates predictive models. • </li><li>Builds web prototypes and performs data visualization</li><li>Conducts scalable data research on and off the cloud</li><li>Develops customized algorithms to solve analytical problems with incomplete data sets, and implements automated processes for efficiently producing scale models</li><li>Collaborates with database engineers and other scientists to develop, refine, and scale data management and analytics procedures, systems, workflows, best practices, and other issues. •Implements new or enhanced software designed to access and handle data more efficiently</li><li>Trains the data management team on new or updated procedures.</li><li>Writes and implements quality procedures.</li></ul> The duties and responsibilities described above may provide only a partial description of this position. This is not an exhaustive list of all aspects of the job. Other duties and responsibilities not outlined in this document may be added as necessary or desirable, with or without notice. Knowledge, Skills and Abilities: Required: <ul><li>Ability to inspire team</li><li>Strong coding experience (e.g. Java, Scala, C#, Python, or R)</li><li>Experience in ETL systems and writing SQL scripts for analysis and reporting.</li><li>Strong foundation in descriptive and inferential statistics and experience with statistical tools/ analysis, regression modeling, forecasting, and time series analysis.</li><li>Experience with Machine learning/Data mining techniques and algorithms (Supervised/unsupervised learning, classification, clustering, rule mining, NLP, Deep Learning)</li><li>Experience with data visualization techniques and tools.</li><li>Experience with gathering data from multiple sources using big data technologies (Spark, Hadoop, BigQuery, Athena, etc.)</li><li>Knowledge of modern software development tools, systems, and practices (design patterns, CI/CD, git, unit testing, smoke testing, integration testing, job schedulers)</li><li>Exposure to all aspects of the software development life-cycle</li><li>Experience with Docker and Kubernetes</li></ul> Preferred: <ul><li>Passion for leveraging technical solutions aligned with long term strategy with incremental deliverable outputs would be appreciated.</li><li>Strong interpersonal communication and collaboration skills</li><li>Ability to work on data mining, data science projects with application engineering, quality engineers and product management.</li><li>Ability to mentor other data scientists and engineers.</li><li>Passion to stay on the cutting edge of data science.</li></ul> Equipment Knowledge: <ul><li>Experience with Microsoft Office Suite (Word, Excel, PowerPoint)</li><li>Experience with Google Business Suite (Gmail, Drive, Docs, Sheets, Forms) preferred</li><li>Experience with cloud technologies like AWS Lambdas and Google functions, etc.</li><li>Experience with messaging technologies (Kafka, Google Pub/Sub, Kinesis, RabbitMQ, etc.</li></ul> Experience Requirements: Generally requires a minimum of five (5) years relevant experience in applied machine learning and Data Science, and one (1) year of relevant work experience in leading Machine Learning, Applied Science, or Data Science teams.. Education Requirements: Advanced degree (M.S. or Ph.D.) in Engineering, Math, Statistics, Finance, or Computer Science required. Judgment/Reasoning Ability: Able to identify, troubleshoot and resolve problems quickly using sound judgment, poise and diplomacy. Ability to use judgment and reasoning skills, and determine when to escalate issues, as required, in a timely manner. Physical Demands: The physical demands described here are representative of those that must be met by a Team Member to successfully perform the essential functions of this job. While performing the duties of this job, the Team Member is regularly required to talk and hear. The Team Member is frequently required to sit, walk, climb stairs, use hands and fingers, bend, stoop and reach with hands and arms. Reaching above shoulder heights, below the waist or lifting as required to file documents or store materials throughout the work day. The Team Member may occasionally lift or move office products and supplies up to 25 pounds. Proper lifting techniques required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Work Environment: The noise in the work environment is usually moderate. Other factors are: <ul><li>Hectic, fast-paced with multi-level distractions</li><li>Professional, yet casual work environment</li><li>Office / Warehouse environment</li><li>Ability to work extended hours as required</li></ul> #LI-JC1 The anticipated pay scale for this position can be found below, however the pay range applicable to you may vary by geographic location based on where the job is located or where you work. The final pay offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and years of experience within the job, the type of years and experience within the industry, education, etc. iHerb, LLC is a multi-state employer and this pay scale may not reflect positions that work in other states or locations. Employees (and their families) that meet eligibility criteria as outlined in applicable plan documents are eligible to participate in our medical, dental, vision, and basic life insurance programs and may enroll in our company's 401(k) plan. Employees will also be eligible for Time Off and Paid Sick Leave pursuant to the company's policies. Employees will enjoy paid holidays throughout the calendar year. Eligibility requirements for these benefits will be controlled by applicable plan documents. Hired applicant may be awarded Restrict Stock Units and receive annual bonuses pursuant to eligibility and performance criteria defined in the respective plan documents and policies. For more information on iHerb benefits, visit us at iHerbBenefits.com. Anticipated Pay Scale: $176,534-$264,801 USD Staffing Agency Submission Notice iHerb does not accept unsolicited 3rd party ("Agency") candidates. If you are an Agency, please send any requests to be considered as a supplier in our Vendor Management System to staffingvendors@iherb.com. Do not contact iHerb employees directly. If requested to work on a role, any Agency candidates would be presented through the internal recruiting organization. About iHerbiHerb is on a mission to make health and wellness accessible to all. We offer Earth's best-curated selection of health and wellness products, at the best possible value, delivered with the most convenient experience. We're the world's largest eCommerce platform dedicated to vitamins, minerals, and supplements, and other health and wellness products. For more than 25 years, we've been making it simple for people all over the world to purchase the highest quality products. From supplements to skincare to grocery items, we ship over 50,000 products, from over 1,800 brands direct to our customers in 180+ countries. Our vision is to become the #1 destination for health and wellness across the world. With a passion for wellness and a mind for innovative solutions, iHerb team members share a vision for a healthier world that drives them each day. Our 5 Shared Values unite our global team: Focus on the Customer •Empower Our People •Be Entrepreneurial & Pivot Quickly • Embrace Diversity & Inclusion •Strive for Simplicity iHerb BenefitsAt iHerb, we are dedicated to offering programs designed to help our employees and their families stay healthy, live well, and plan for their financial future. Built on a strong foundation, our programs provide options and upgrades with flexibility, protection, and security in mind. For the comprehensive benefits list, visit www.iHerbBenefits.com. For our international team members, you may be eligible for benefits depending on the country where you are employed. The Talent Acquisition Partner/local HR representative will go over the benefits you are eligible for. iHerb is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. iHerb provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment.

<h3>Job Description</h3><div>Job Description<div>Data Scientist Location: CA- IrvineJob Type: Full-TimeMutual of Omaha is a Fortune 300 Company. Mutual of Omaha Mortgage is inspired by hometown values and a commitment to being responsible and caring for each other. We exist for the benefit of our customers and employees. We offer an extensive compensation package. Benefits include Medical, Dental, and Vision insurance, company paid life insurance, 401K with a generous employer match and additional benefits such as Free Legal Services and an Employee Loan Program.Mutual of Omaha Mortgage is a full-service lending company offering both Forward and Reverse Mortgage products including a complete line of residential mortgage, refinancing, specialty, and HECM loans. We employ a knowledgeable staff of experienced Loan Officers with an operations team that is second to none. If you are interested in joining a team that promotes from within and works together toward a common goal of helping customers with their mortgage needs, please review and apply for our opening below!Mutual of Omaha Mortgage is seeking a Data Scientist to partner with our Marketing teams, providing data-driven insights through ad-hoc analyses, presentations, automated reports and dashboards, experiment design, and advanced statistical research and development. This role demands extensive experience with SQL, data wrangling, statistics, and A/B testing, along with the ability to collaborate in cross-functional teams to derive practical insights. We're looking for someone who excels in a fast-paced environment and is technically adept to support our internal teams. If you seek a dynamic and growing company, this is the place for you.Roles & Responsibilities: Work on specialized 'advanced analytics' projects that include but not be limited to: <ul><li>Marketing Mix Modeling  </li><li>Sophisticated forecasting and the development of internal forecasting tools </li><li>Adapt to evolving business dynamics and swiftly adjust task priorities to ensure efficient workflow alignment with changing operational requirements. </li><li>Be a leader with a point of view for the organization and the team, using data to constantly challenge and reshape our understanding of business performance and trend. </li><li>Build models to understand the lifetime value better and behavior of our customer base.  </li><li>Find the "story" in the data and communicate insights and opportunities with executives and other internal teams. </li><li>Perform ongoing ad-hoc analyses to evaluate the efficiency of our marketing spend, building reporting infrastructure, and assisting in making budgeting recommendations to optimize growth. </li><li>Support reporting and business intelligence needs of the Marketing team. </li></ul>Qualifications: <ul><li>5+ years of experience with SQL, SSIS, SSRS.</li><li>5+ years of professional experience with forecasting and prediction modeling using data visualization tools.</li><li>2+ years of reporting and dashboard creation in Salesforce.</li><li>2+ years of defining DAX measures and modeling in Power BI.</li><li>Experience with Python/VBA is a plus.</li><li>Advanced Excel skills, including Power Query.</li><li>Strong problem-solving skills with the ability to understand business issues and implement robust solutions.</li><li>Excellent organization, prioritization, and deadline-focused skill sets.</li><li>Bachelor’s degree or equivalent.</li><li>2+ years of mortgage experience preferred.</li></ul></div>Company Description<div>Mutual of Omaha is a Fortune 300 Company. Mutual of Omaha Mortgage is inspired by hometown values and a commitment to being responsible and caring for each other. We exist for the benefit of our customers and employees. We offer an extensive compensation package. Benefits include Medical, Dental, and Vision insurance, company paid life insurance, 401K with a generous employer match and additional benefits such as Free Legal Services and an Employee Loan Program. Mutual of Omaha Mortgage is a full service lending company offering both Forward and Reverse Mortgage products including a complete line of residential mortgage, refinancing, specialty, and HECM loans. We employ a knowledgeable staff of experienced Loan Officers with an operations team that is second to none. If you are interested in joining a team that promotes from within and works together toward a common goal of helping customers with their mortgage needs we would love to hear from you!</div></div><h3>Company Description</h3><div>Mutual of Omaha is a Fortune 300 Company. Mutual of Omaha Mortgage is inspired by hometown values and a commitment to being responsible and caring for each other. We exist for the benefit of our customers and employees. \r\n\r\nWe offer an extensive compensation package. Benefits include Medical, Dental, and Vision insurance, company paid life insurance, 401K with a generous employer match and additional benefits such as Free Legal Services and an Employee Loan Program.\r\n\r\nMutual of Omaha Mortgage is a full service lending company offering both Forward and Reverse Mortgage products including a complete line of residential mortgage, refinancing, specialty, and HECM loans. We employ a knowledgeable staff of experienced Loan Officers with an operations team that is second to none. If you are interested in joining a team that promotes from within and works together toward a common goal of helping customers with their mortgage needs we would love to hear from you!</div>

Data Scientist (Healthcare) 100% Remote What you will do:The Data Scientist will be responsible for driving insights from the vast amounts of patient and environmental data available within our data warehouse. <ul><li>Experience with machine learning and statistical analyses are needed.</li><li>Work closely with researcher teams to design analysis specifications, including input data specifications, data cleaning, algorithms, and interpretation of results.</li><li>Develop and implement algorithms on existing data warehouse records and identify new external data sources to be ingested to the data warehouse to strengthen analyses.</li><li>Analysis will address a wide variety of clinical and research outcomes.</li><li>Research and implement AI algorithms, apply off-the-shelf AI and data-centric tools, and collect, store, and maintain data.</li><li>The successful candidate will have demonstrated competence in developing highly scalable artificial intelligence systems with multiple dependencies across teams.</li></ul> What gets you the job: Programming Languages<ul><li>Python (for preprocessing, data analysis, machine learning, scripting)</li><li>SQL (for database querying and management)</li><li>SAS (common in healthcare data analysis)</li><li>MATLAB (for algorithm development, though less common in healthcare)</li><li>R (for statistical computing and bioinformatics) </li></ul> Data Science & Machine Learning Frameworks<ul><li>TensorFlow, PyTorch, Keras (for deep learning and complex machine learning, including neural networks and advanced AI)</li><li>Scikit-Learn (for classical machine learning)</li><li>XGBoost or LightGBM (for gradient boosting in structured data)</li><li>Large Language Models (LLMs) (for text generation, summarization, etc.)</li><li>AWS SageMaker (for end-to-end machine learning development, training and scalable machine learning in a managed cloud enviornment)</li><li>Natural Language Processing (NLP) Tools and Frameworks (e.g., Hugging Face, AWS Comprehend Medical for extracting insights from clinical text data)</li><li>AWS Bedrock (for accessing pre-trained LLMs and foundation models without managing infrastructure)</li></ul> Healthcare-Specific Knowledge<ul><li>HL7 (Health Level Seven International standards for electronic health information exchange)</li><li>FHIR (Fast Healthcare Interoperability Resources standard for exchanging healthcare information electronically)</li><li>ICD-10 Coding (for medical diagnosis and procedure classification)</li><li>HIPAA Compliance (handling sensitive patient data securely)</li><li>Clinical Terminologies (e.g., SNOMED, LOINC)</li></ul> Data Tools & Platforms<ul><li>SQL-based Databases (e.g., PostgreSQL, MySQL, Microsoft SQL Server)</li><li>Data Warehousing (e.g., AWS Redshift, Google BigQuery)</li><li>Data Visualization Tools (e.g., Tableau, Power BI, Plotly)</li><li>NoSQL Databases (e.g., MongoDB, Cassandra)</li><li>Apache Hadoop or Apache Spark (for big data processing)</li><li>ETL Tools (e.g., Informatica, Talend, AWS Glue)</li></ul> Statistical & Analytical Techniques<ul><li>Regression Analysis (linear, logistic, multinomial, ordinal, etc.)</li><li>Descriptive Statistical tests (correlaton, covariance, chi-square, univariate, multivariate analyses)</li><li>Clustering Techniques (e.g., k-means, hierarchical clustering etc)</li><li>Dimensionality Reduction (e.g., Principal Component Analysis (PCA),</li><li>Natural Language Processing (NLP) (for analyzing clinical notes or electronic health records)</li><li>Predictive Modeling (for patient outcomes, risk analysis)</li><li>Time Series Analysis (useful for patient monitoring, trend analysis)</li><li>Survival Analysis (for patient outcome predictions)</li><li>A/B Testing (for clinical trials or health interventions)</li></ul> Cloud Computing & DevOps Skills<ul><li>AWS, Google Cloud, or Azure (cloud platforms for scalable computing)</li><li>AWS Lambda and Step Functions (serverless computing and workflow automation)</li><li>Docker, Kubernetes, ECS, EKS or AWS Fargate (for containerization and orchestration of data applications and reproducibility)</li><li>CI/CD Pipelines (for automating deployment and monitoring of machine learning models)</li></ul> Electronic Health Records (EHR) Systems<ul><li>Experience with Epic or Cerner (popular EHR systems in healthcare)</li></ul> Data Governance & Security<ul><li>Data Privacy (understanding of privacy laws such as HIPAA, GDPR)</li><li>Data Anonymization or De-identification techniques (for research and compliance)</li><li>Auditing & Compliance Tools (for ensuring secure and compliant data handling)</li><li>Responsible AI Practices (AI governance frameworks ensuring healthcare regulations and ethical standards)</li></ul>\Bachelors Degree computer science, artificial intelligence, informatics or closely related fieldMasters preferred

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Data Scientist Jobs in Irvine, CA

Data ScientistOctober 14, 2024

Principal Data ScientistOctober 13, 2024

Data Scientist Iii ProductOctober 11, 2024

Data ScientistOctober 9, 2024

Data Scientist WpfOctober 9, 2024

Forensics Discovery Data Scientist Manager Ai ResponsibilityOctober 9, 2024

Sr Data ScientistOctober 9, 2024

Sr Lead Internal Audit Data ScientistOctober 8, 2024

Data ScientistSeptember 25, 2024

Data Scientist Healthcare100 RemoteSeptember 23, 2024