Senior Data Scientist Jobs in Marina, CA

At Western Digital, we are on a mission to unlock the potential of data so people, companies and organizations everywhere can create what’s next. To fulfill our vision, we are always on the lookout for potential team members who share our passion for solving problems to empower others. When you join Western Digital, you join a legacy more than 50 years in the making. Across our Western Digital®, SanDisk®, SanDisk® Professional, WD® and WD_BLACK™ brands, we have brought some of the most storied advancements in memory and data storage technology to market—and our best, most innovative work is yet to come. From energizing gaming platforms, to enabling systems to make cities safer and cars smarter and more connected, to powering the data centers behind many of the world’s biggest companies and public cloud, Western Digital is fueling a brighter, smarter future. Here’s how you can help. Job Description Strategically positioned within the organization of the CIO, AAO is missioned with accelerating Analytics solutions at scale across the Enterprise to rapidly capture business value. These solutions target key business metrics, such as, reducing manufacturing cost, improve capital efficiency, reduce time-to market to develop new products, improve planning, operational efficiency & logistics, and enhance customer experience. AAO solutions are built using cutting edge Industrial 4.0 technologies and are delivered through a platform approach to enable rapid scaling. The solutions span AI/ML for improving manufacturing test, yield, quality & OEE, AI/ML & data analytics for sales, marketing, logistics & supply chain problems, Operations Research for capacity and scheduling optimization, Digital Twin for inventory and logistics optimization, and Product Telematics for managing customer fleet management solutions. Many of these solutions are first-of-a-kind that have discovery and rapid learning elements with the intent of taking solution to scale. We are seeking a PhD Data Scientist to transform how we respond to market dynamics, optimize supply, cost, and pricing, and enhance our financial forecasting methods. In this role, you will collaborate with key stakeholders in Product Marketing, Sales, Finance, and Supply Chain to develop cutting-edge analytics solutions that drive significant impact on revenue, profitability, and shareholder value. With access to an exceptional talent pool in AAO, you will have the opportunity to fundamentally transform how Western Digital operates as a leader in the data storage industry. Essential Duties & Responsibilities: Probabilistic Demand Forecasting: Develop probabilistic models that provide a range of possible demand outcomes with associated probabilities. Update demand forecasts dynamically as new information becomes available, using Bayesian principles to incorporate uncertainty in a structured way. Demand vs. Supply Scenario Planning: Develop multiple scenarios based on different assumptions about future market conditions, demand trends, and external factors (e.g., macro-economic indicators, geo-political events). Simulations & Quantitative Risk Management: Use Monte Carlo simulations and other probabilistic models to quantify & minimize the risk of different demand scenarios on inventory levels, production schedules, and profitability. Financial Forecasting: Utilize financial econometrics to build models that support financial forecasting, including sales and revenue projections. Pricing Optimization: Apply advanced analytics and optimization techniques to pricing strategies, including price gap analysis and pricing optimization. Data Analysis: Acquire, cleanse, and transform large and complex datasets and analyze to extract actionable insights and support scenario planning & risk assessment models. Collaboration with Cross-Functional Teams: Work closely with Product Marketing, Supply Chain, Sales, and Finance teams to identify business challenges and develop data-driven solutions. Continuous Learning & Innovation: Stay up-to-date with the latest trends and technologies in econometrics, advanced statistics, game theory, and data science. Contribute to the continuous improvement of processes, tools, and methodologies. Qualifications Required: PhD in a field such as Economics & Data Science, Advanced Statistics, Applied Mathematics, or a related discipline. Recent graduates and post-doc students are invited to apply. Research experience in solving complex forecasting, risk management and cost or profit optimization problems. Deep expertise in advanced statistical methods (e.g., Causal inference and Bayesian statistics), mathematical optimization, scenario planning, and simulations (e.g., Monte Carlo Simulations). Ability to handle large and complex datasets, with proficiency in SQL, Hadoop, Spark, and NoSQL databases. Proficiency in programming languages such as Python, R, or similar for data analysis and model development. Prior experience or aptitude to learn Machine Learning, Deep Learning, and Generative AI techniques. Ability to quickly learn and apply new tools and technologies, particularly in data visualization (e.g., Power BI, Spotfire) and cloud platforms (e.g., Oracle Cloud, AWS, GCP). Strong interpersonal and communication skills with the ability to work effectively with cross-functional teams and present complex data-driven insights to non-technical stakeholders. Critical thinking and an appetite to solve complex real-world problems. Additional Information Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal” poster. Our pay transparency policy is available here. Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be 2/5/25, although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. #LI-AP1 Compensation & Benefits Details An employee’s pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future. You will be eligible to participate in Western Digital’s Short-Term Incentive (STI) Plan, which provides incentive awards based on Company and individual performance. Depending on your role and your performance, you may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Western Digital’s Standard Terms and Conditions for Restricted Stock Unit Awards. We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program, employee stock purchase plan, and the Western Digital Savings 401(k) Plan. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

LatentView Analytics is a leading global analytics and decision sciences provider, delivering solutions that help companies drive digital transformation and use data to gain a competitive advantage. With analytics solutions that provide a 360-degree view of the digital consumer, fuel machine learning capabilities and support artificial intelligence initiatives., LatentView Analytics enables leading global brands to predict new revenue streams, anticipate product trends and popularity, improve customer retention rates, optimize investment decisions, and turn unstructured data into valuable business assets. Description: We are seeking a talented Marketing Data Scientist with 5+ years of experience to join our team. The ideal candidate will be responsible for analyzing large volumes of data to identify trends, develop insights, and make recommendations that will help optimize marketing strategies. They will collaborate with cross-functional teams to build predictive models. The successful candidate will have a strong background in statistical analysis, data mining, and machine learning. Responsibilities: Analyze marketing data to identify patterns and trends Collaborate with cross-functional teams to gather data and insights to improve the accuracy of the models Provide insights and recommendations on marketing strategies and tactics to optimize performance and ROI Develop and deliver regular reports on marketing performance, including key metrics and trends Monitor and track the effectiveness of marketing campaigns and make recommendations for adjustments as needed Collaborate with marketing and product teams to design and execute A/B tests and experiments Stay up-to-date with emerging technologies and industry trends in data science and marketing analytics. Skills: Bachelor's degree in computer science, statistics, economics, or related field; 2+ years of experience in marketing analytics or related field Strong SQL skills, Strong analytical skills, with experience in statistical modeling and data analysis Proficient in statistical software such as R or Python. Strong communication and collaboration skills Ability to work in a fast-paced environment and manage multiple projects simultaneously Attention to detail and ability to work with a large data set. Prior experience with setting up & measuring experiments; Prior experience with attribution modeling and conversion tracking/measurement; Prior experience with building ROI models Prior experience in building predictive / propensity models Ability to build impactful stories from data Ability to handle stakeholders independently and work X-functionally. At LatentView Analytics, we value a diverse, inclusive workforce and provide equal employment opportunities for all applicants and employees. All qualified applicants for employment will be considered without regard to an individual's race, colour, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws.

Net2Source Inc. is an award-winning total workforce solutions company recognized by Staffing Industry Analysts for our accelerated growth of 300% in the last 3 years with over 5500+ employees globally, with over 30+ locations in the US and global operations in 32 countries. We believe in providing staffing solutions to address the current talent gap - Right Talent - Right Time - Right Place - Right Price and acting as a Career Coach to our consultants. Job Title: Data Conversion Consultant with Oracle Fusion & Microsoft Dynamics AX 2012 (Master Data Management) Location: Watsonville, CA (REMOTE) Contract Job Description: We are seeking a skilled and experienced professional to join our team as a Data Conversion Analyst with excellent data conversion knowledge. This role is critical in the context of our enterprise resource planning (ERP) system migration project, where you will be responsible for extracting and transforming data from our existing Microsoft Dynamics AX 2012 R2/R3 , Hyperion environment and many other sources to prepare it for migration to a new Oracle fusion project. Your primary focus will be on extracting data from multiple sources, analyze on the functional and technical design document, cleanse data effectively, prepare pre and post validation reports and validate the converted data in Fusion. Key Job Responsibilities: Data Extraction: Develop, learn and execute SQL queries to extract data from Microsoft Dynamics AX 2012 R2/R3 ERP , Hyperion and other external sources, ensuring accuracy, consistency, and data integrity. Identify and select relevant data sets for migration based on project requirements and mapping template. Build reports/SQL queries in Oracle fusion for extraction data for Boundary applications. Data Transformation: Transform and cleanse extracted data to meet the format and quality standards required for the Oracle fusion ERP. Implement data mapping and conversion rules as per the project's specifications. Data Validation: Create Pre-validation and Post-validation reports for business validation. Perform data validation and quality checks to ensure that the extracted data meets the migration criteria. Identify and rectify any data inconsistencies or anomalies that may arise during the extraction process. Documentation: Maintain detailed documentation of the data extraction and transformation processes, including SQL scripts, data mapping, and any data-related issues encountered. Collaboration: Collaborate with cross-functional teams, including ERP implementation specialists, business analysts, and IT professionals, to understand the migration requirements and coordinate data extraction efforts. Performance Optimization: Optimize SQL queries and data extraction processes to enhance performance and minimize downtime during the migration. Troubleshooting: Identify and resolve any SQL-related issues or data extraction challenges that may arise during the project. Job Requirements: 1. Bachelor's degree in computer science, Information Technology, or a related field. 2. 8-10 years of Oracle fusion/Oracle EBS working experience. 3. Should be a techno functional consultant. 4. Has gone through 2-3 full lifecycle data conversion experience in Oracle Fusion/Oracle EBS. 5. Expert level working experience on Oracle fusion technical objects. 6. Must be involved in Oracle Fusion Data conversion and reconciliation activities on previous projects. 7. Good SQL scripting is required. 8. Conversion experience from legacy systems into Oracle fusion and EPBCS. 9. Should have reporting experience in Oracle fusion. 10. Need to have a good understanding on the business tracks like RTR, OTC, SCE, STP, FP&A 11. Microsoft Dynamics AX 2012 R2/R3 scripting experience is a value add. 12. Knowledge in EPBCS will be add on. 13. Experience in building technical and functional design documents. 14. Advance skills in MS Office (Access, Excel, PowerPoint, Word). 15. Ready to learn new technologies. 16. Strong analytical and problem-solving skills. 17. Effective communication and teamwork skills. Why work with us - At Net2Source, we believe everyone has an opportunity to lead. We see the importance of your perspective and your ability to create value. We want you to fit in-with an inclusive culture, focus on work-life fit and well-being, and a supportive, connected environment; but we also want you to stand out-with opportunities to have a strategic impact, innovate, and take necessary steps to make your mark. We help clients with new skilling, talent strategy, leadership development, employee experience, transformational change management and beyond. Equal Employment Opportunity Statement: Net2Source is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Awards and Accolades: America's Most Honored Businesses (Top 10%) Awarded by USPAAC for Fastest Growing Business in the US 12th Fastest Growing Staffing Company in USA by Staffing industry Analysts in the US (2020, 2019, 2020) Fastest 50 by NJ Biz (2020, 2019, 2020) INC 5000 Fastest growing for 8 consecutive years in a row (only 1.26% companies make it to this list) Top 100 by Dallas Business Journal (2020 and 2019) Proven Supplier of the Year by Workforce Logiq (2020 and 2019) 2019 Spirit of Alliance Award by Agile1 2018 Best of the Best Platinum Award by Agile1 2018 TechServe Alliance Excellence Awards Winner 2017 Best of the Best Gold Award by Agile1(Act1 Group) Thanks & Regards Abhishek Kumar Sr. Technical Recruiter ************ ***********************

Job DescriptionResponsibilities Design robust and scalable data system architecture to collect, process, and store large volumes of data from IoT devices. Design and build data systems that support real-time, customer facing data applications, ensuring data integrity and efficient retrieval processes. Design and build a data validation framework to guarantee the accuracy and consistency of data across all stages of the pipeline, ensuring reliable insights and decision-making. Implement data architectures to continuously improve AI models through automated feedback loops and data collection processes. Optimize data processing workflows for AIoT tasks. Collaborate with product owners to translate data requirements into actionable data engineering solutions. Collaborate with other engineers, product owners to solve challenging problems. Evangelize software engineering best practices and lead by example. Qualifications Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. 5+ years of proven experience in data engineering, with a strong focus on data warehousing and data system architecture. Expertise in design and build IoT data systems. Expertise in architecting that power high-volume consumer application. Expertise in big data and streaming technologies (Python, Java, Kafka, Spark,Spark Streaming). Expertise in moderen database technology (MongoDB, ElasticSearch, StarRocks, S3, Snowflake, Bigquery etc). Experience with data annotation tools and processes for machine learning datasets. Familiarity with MLOps practices and tools for managing AI model lifecycles. Knowledge about deploying systems into a production Cloud Native Environment (AWS or similar). Experience in Java Spring Framework is a plus Experience with video data handling and image processing is a plus

Our Mission At Palo Alto Networks everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we're looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included. As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few! At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision. Job Description Your Career We are seeking an experienced and strategic Senior Principal Data Architect to lead our data architecture, governance, and quality frameworks, supporting the company's vision to achieve maximum leverage from all our data assets. This role is essential in developing and maintaining a robust data infrastructure that serves as a reliable foundation for analytics, insights, and decision-making. You will oversee the establishment of our Enterprise Data Model (EDM) including Single Sources of Truth (SSOTs) for critical data assets, ensuring data consistency and reliability across the organization. Your Impact Architectural Strategy & Design - Lead the design, development, and optimization of scalable data architectures, including data warehouses, data lakes, and other data platforms that support high-volume and high-velocity data processing SSOT Implementation & Management - Design and implement Single Sources of Truth (SSOTs) for critical datasets, ensuring consistent and reliable data across the organization - Define processes and standards to centralize, govern, and validate SSOTs, promoting data integrity across multiple business functions Data Governance - Develop and enforce data governance policies and frameworks to ensure responsible and compliant data usage - Partner with cross-functional teams to establish data stewardship, ownership, and accountability across departments, maintaining SSOTs Data Quality Management - Establish and manage data quality standards, processes, and metrics to ensure data accuracy, consistency, and completeness - Deliver initiatives to monitor, improve, and report on data quality, particularly for SSOTs Technical Leadership - Provide technical leadership and mentorship to the data engineering and architecture teams, fostering best practices in data management, governance, and quality - Encourage a culture of continuous learning and innovation Collaboration & Stakeholder Engagement - Drive in data quality/governance/architecture discussions across IT and business teams, aligning data architecture and SSOT decisions with business objectives, and translating complex concepts into actionable insights Scalability & Performance Optimization - Design and support the implementation of scalable data systems capable of handling large datasets efficiently, ensuring performance that meets SLAs and maintains system reliability Data Security - Work closely with Infosec team to incorporate data privacy and security best practices into data architectures and SSOTs, ensuring compliance with relevant regulations (e.g., GDPR, HIPAA) Innovation & Emerging Technologies - Stay updated on industry trends, emerging technologies, and best practices in data architecture, governance, quality management, and SSOT frameworks to continuously enhance our data ecosystem Qualifications Your Experience Education - Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field or equivalent military experience required (Master's or Ph.D preferred) Experience - 10+ years in data architecture, data engineering, or related roles, with demonstrated experience in SSOT, data governance, and data quality management Technical Expertise - Proficiency in data warehousing (e.g., BigQuery, Snowflake, or Redshift), data lakes, ETL/ELT frameworks, and cloud platforms (AWS, GCP, or Azure) - Strong knowledge of SQL and at least one programming language (e.g., Python, Java) SSOT & Data Governance - Proven experience establishing SSOT frameworks and data governance strategies to maintain data accuracy and accessibility across the organization Data Modeling - Expertise in data modeling, including OLAP, OLTP, star schemas, normalized forms, and semi/unstructured data Leadership Skills - Strong track record of mentoring, influencing, and managing technical teams, with the ability to collaborate effectively across diverse teams Analytical Skills - Strong problem-solving skills focused on operational efficiency, data integrity, and analytical accuracy Communication - Excellent verbal and written communication skills, with the ability to present complex concepts to both technical and non-technical audiences Preferred Experience with machine learning data pipelines and supporting AI/ML infrastructure Familiarity with data governance frameworks (e.g., DAMA DMBOK, DCAM) Knowledge of industry regulations and data privacy laws (e.g., GDPR, HIPAA) Additional Information The Team Working at a high-tech cybersecurity company within Information Technology is a once-in-a-lifetime opportunity. You'll join the brightest minds in technology, creating, building, and supporting tools and enabling our global teams on the front line of defense against cyberattacks. We're connected by one mission but driven by the impact of that mission and what it means to protect our way of life in the digital age. Join a dynamic and fast-paced team of people who feel excited by the prospect of a challenge and feel a thrill at resolving technical gaps that inhibit productivity. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $243,000 - $335,000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. Our Commitment We're problem solvers that take risks and challenge cybersecurity's status quo. It's simple: we can't accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines.

Job Description Data ScientistThis is an exciting opportunity to join a growing global company in the cloud-based software industry. This is a hybrid position. We are looking for a talented, enthusiastic, and dedicated person to join the Credit Risk Strategy team. The incumbent will be responsible for leading key projects associated with credit risk assessment, data analysis and loss mitigation. This position requires a person who has experience performing analytics, refining risk strategies, and developing predictive algorithms, preferably in the credit risk domain. Responsibilities: Work closely with team members and stakeholders to consult, design, develop, and manage credit trends and losses that not only solve emerging loss trends but also provide a great experience to end customers Utilize data analysis to design and implement credit strategies Analyze and transform data using RaaS platforms to identify loss patterns and optimize the systems to flag these patterns Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven credit solutions that operate at scale and in real time for end customers Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders Development of dashboard and visualizations to track KPI of credit strategies implemented Requirements: 2+ years of experience in risk analytics, data analysis, and data science within relevant industry experience in Fintech or online payments industry. Bachelors degree in computer science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience Experience using statistics and data science to solve complex business problems Proficiency in SQL, Python, Excel including key data science libraries Proficiency in data visualization including Tableau Experience working with large datasets Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, i.e. Tableau. Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes Bonus: Experience with AWS, payment rule systems, and knowledge of credit products. Pay Rate: $50-$70/hour

Job DescriptionDuties: We are looking for a highly motivated Principal Software Engineer to help us build cutting edge analysis, visualization and compute pipelines for analyzing sequencer data. The job requires advanced python expertise and data science skills, in addition to solid computer science skills. You will be involved in architecting, developing and optimizing the data analysis algorithms, pipelines, and visualization.Responsibilities Analyze existing software and develop requirements, prototype and execute new architectures, software algorithm, design improvements Collaborate with scientists and other engineering groups to understand their software requirement and propose solutions and lead them to completion Write clean, maintainable, documented code using best engineering practices in the industry (design patterns, TDD, peer review, CI, automated testing etc.). Prepare documentation and participate in design reviews. Guide contractors and vendors for development and ensure quality of deliverables. Provide technical leadership in software development and mentor junior developers. Monitor work to ensure quality, and continuously promote Quality First Time. Provide technical direction and feedback to others.Skills: Highly conversant with numpy, pandas, matplotlib and other similar data analysis and visualization libraries. Deep experience with distributing and cloud computing in scientific domain. Good knowledge of deep learning and experience working with tensorflow. Development Essentials: JIRA, Git, Jenkins, Docker, python package management, Collaborative Traits: Good communication skills, team player, work under tight deadlines, good mentoring Engineering Traits: Attention to detail, problem solving, debugging, optimization and analytical skills Education: Minimum QualificationBachelor's degree in Computer Science or Engineering or related technical discipline 8 years of experience in developing scientific applications in Python, C, or C++.

The Software Localization & Engineering team powers the tooling, features, and processes used to create an exceptional localized experience for Apple's international customers. We are responsible for the readiness and high quality of Apple features internationally across all of Apple's products. We are in search of a creative, motivated, and passionate technical leader who has a robust understanding of large language models (LLMs), generative AI, Natural Language Processing (NLP), and Machine Translation (MT). An ideal candidate has the ability to lead diverse cross-functional efforts to build the next generation of ML tooling, processes, and end-user features for international locales. Strong engineering fundamentals and a passion for this area are required. Description As a Machine Learning Engineer in the International Data Engineering team, you will join a phenomenal team of passionate engineers to design, implement, and qualify Apple Intelligence features globally across a wide variety of Apple's products. We are looking for an exceptional candidate to help architect the future of localizing and scaling Machine Learning models and datasets. Your duties include: Actively engaging in all aspects of model development, from ideation, training, experimentation, evaluation to deployment. Helping define a scalable, data-driven quality program to continuously improve ML-based products and features globally. Collaborating with translation, Localization quality, project management, and engineering teams to develop and scale the approach with a focus on the end user and the product quality. Developing and maintaining features, frameworks, and tools to help facilitate the software translation process. Minimum Qualifications Experience with Machine Learning (ML), with a particular emphasis on Large Language Models (LLMs) and Natural Language Processing (NLP). Hands-on experience developing end-to-end machine learning systems: defining and creating metrics and datasets, training models, and performing error triaging. Comprehensive knowledge and hands-on experience with fine-tuning approaches and training models. Strong programming skills in Python or other scripting languages. Preferred Qualifications Hands-on experience with handling large datasets and developing data analytics pipelines for natural language-based products. Proven ability to comprehend, interpret, and apply cutting-edge research into consumer-oriented products. Proficiency using open-source ML toolkits and frameworks (e.g. PyTorch, TensorFlow, OpenNMT). Experience in software Localization/internationalization. Native-level foreign language skills in reading, writing, and speaking. Experience or curiosity in languages and culture, comfortable working cross-functionally and cross-culturally. Published research in the field of Machine Learning or AI. Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant. #J-18808-Ljbffr

1. A minimum of 8-10 years of experience in data science, with a proven track record of delivering impactful data-driven solutions. 2. In-depth expertise in statistical analysis, machine learning algorithms, and predictive modeling techniques. 3. Strong programming skills in languages such as Python, etc., with experience in data manipulation, cleaning, and analysis. 4. Experience in leading and managing a team of data scientists, including setting goals, providing guidance and feedback, and ensuring project success. 5. Proven ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders. 6. Strong problem-solving skills and the ability to think strategically to identify opportunities for leveraging data and analytics to drive business outcomes. 7. Familiarity with cloud platforms, such as DataBricks or Cloudera, and experience in deploying and managing data science models in a cloud environment. 8. Strong project management skills, with the ability to prioritize and manage multiple projects simultaneously. Qualifications 1. Master's or Ph.D. degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or a related field. 2. Proven experience in leading and managing a team of data scientists, including hiring, training, and mentoring. 3. Strong domain knowledge in a specific industry or sector, such as semiconductor or material science. 4. Publications or research experience in the field of data science, machine learning, or related areas. 5. Experience in working with unstructured data, such as text or image data, and applying natural language processing or computer vision techniques. 6. Knowledge of advanced analytics techniques, such as deep learning or reinforcement learning. 7. Experience in working with data engineering teams to build and optimize data pipelines for data processing and analysis. 8. Familiarity with data privacy and security regulations and ensuring compliance in data science projects. 9. Strong business acumen and the ability to understand and align data science initiatives with business goals and objectives. 10. Active participation in data science communities, conferences, or meetups, and a passion for staying up to date with the latest advancements in the field. Company DescriptionConsulting and Solutions CompanyCompany DescriptionConsulting and Solutions Company

Market research studies are paid engagements Ivy Exec conducts with clients to get feedback on certain topics. For this study we are looking for professionals working in the pharmaceutical industry regarding the use and application of data assets and analytics . Participation requirements: Job titles: Biostatistician, Statistical Scientist, Clinical Data Scientist, Pharmaceutical Statistician, Quantitative Statistician, Research Statistician, Pharmacometrician, Data Analyst, Clinical Data Analyst, Health Data Analyst, Market Research Analyst, Epidemiologist, Real-World Evidence Analyst Industry : Pharmaceutical Honorarium: $250 per 60 minutes of online interview To be respectful of your time, we want to make sure you meet all study requirements. Start the survey to fill out the qualification form. If you qualify, our team will reach out to you to schedule the interview with our client.

Senior Data Scientist - DGX Cloud page is loaded **Senior Data Scientist - DGX Cloud** **Senior Data Scientist - DGX Cloud** locations US, CA, Santa ClaraUS, Remote time type Full time posted on Posted Today job requisition id JR1987199 We are now looking for a Senior Data Scientist for DGX Cloud team. As a Data Scientist you will turn data into information, information into insight and insight into business decisions to help optimize the engineering process and align strategic direction. You will work closely with our leadership team, internal partners and engineering, providing them insight and data that enables effective changes across the organization. **What you will be doing:** * Analyze and develop model to address quantitative data and qualitative survey data * Apply ML/AI techniques (classification/clustering/sentiment) to solve reliability and QoS issues for our products. * Develop frameworks for data ingestion and processing * We want you to extend intelligent approaches to detect and to root cause the outliers in the data models, to identify inconsistencies in data. You will come up with scalable algorithms (for data processing and machine learning) on how to diagnose the root causes of errors. * You will act as a link, working within and coordinating between multiple distributed teams for end-to-end feature delivery. * You will prepare documentation for the processes, policies, data formats, test cases and then encourage results within the scope of your projects. **What we need to see**: * Bachelor's Degree in Computer Science or statistics or related field (or equivalent experience) * 12+ years professional experience in software development and building successful production software systems * Proven ability in solving problems using machine learning algorithms and techniques (clustering, classification, outlier analysis, anomaly detection etc.) and deep learning models (Neural Networks) * 4+ industrial experience with common tools for data storage and processing (e.g. Spark, Hadoop Map/Reduce, Hive, Cassandra). You will have to drill into the problems of running large-scale software in a big network * We expect you to have system design/architecture skills to build reliable data flows, combining analytical batch processing and low-latency services. You have passion for efficient algorithms and data structures, advantages/limitations of using them in distributed environments * Excellent interpersonal, presentation and reporting skills should be your strong sides * You are a self-motivated, engaged, eager for self-education person with strong self-management skills * Strong oral and written communication skills in English **Ways to stand out from the crowd:** * Demonstrated skills as a senior engineer (i.e. mentoring, leading out in product designs, managing projects, architecting products). Love for PC/mobile gaming will help you in working with our data sets * Experience working within a large international team. Software security experience would be a plus * Love of technology, especially data analytics, and passionate about what you do. Strong collaborative and interpersonal skills, specifically a proven track record to effectively guide and influence within a dynamic matrix environment NVIDIA is leading groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU -- our invention -- serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables groundbreaking creativity and discovery, and powers inventions that were once considered science fiction, including artificial intelligence to autonomous cars. The base salary range is 220,000 USD - 471,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and . *NVIDIA accepts applications on an ongoing basis.* NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Who We Are At OKX, we believe that the future will be reshaped by Crypto, ultimately contributing to every individual's freedom. OKX began as a crypto exchange giving millions of people access to crypto trading and over time becoming among the largest platforms in the world. In recent years, we have developed one of the most connected Web3 wallets used by millions to access decentralized crypto applications (dApps). OKX is a trusted brand by hundreds of large institutions seeking access to crypto markets on a reliable platform that seamlessly connects with global banking and payments. In the last year, OKX has expanded into new markets including Australia, Brazil, Netherlands, Singapore and Turkey, with plans to launch in the US, Belgium and the UAE. We are deeply committed to shaping a fairer, more transparent and accessible society through blockchain technology. This is why we publish proof of reserves monthly, and continue to ship new innovative security features. About the Opportunity At the heart of OKX's user activity are the Buy, Sell, and Convert features, which enable seamless crypto trading. As a global crypto investment platform, our vision is to empower the next billion users with the smoothest trading experience. In this role, you'll lead a team of product managers while also staying hands-on to enhance our current offerings and shape the future of how users discover, trade, and assess crypto assets. Additionally, you will be responsible for designing and developing fiat-to-crypto infrastructure to support partners and building business cases around these systems. Deep collaboration across the fiat-to-crypto ecosystem-spanning Banking, Card, Web3 Wallet, Data, and more-is essential. You'll also engage with local market partners to drive insights and innovation. What You'll Be Doing: Lead the team by leveraging data to optimize key features of the Fiat product, driving product enhancements and customer engagement Collaborate closely with the core product team to identify business needs, propose data-driven solutions, and deliver actionable insights that align with product goals. Apply advanced data science methodologies including statistical modeling, A/B testing, and causal analysis to inform product decisions. What We Look For In You: 5+ years of experience in data science, data analysis, machine learning, or a related field. Proactive mindset with strong cross-functional collaboration skills to address complex challenges. Expertise in product analytics and event-based tracking tools. Advanced skills in SQL and proficiency in data modeling techniques. Proficiency in Python and experience with analytics and machine learning/deep learning libraries (e.g., pandas, scikit-learn, tensorflow). Strong understanding of statistical analysis and data mining methods. Passion for cryptocurrency and blockchain innovations. Excellent verbal and written communications skills, with the ability to translate insights into clear, actionable product strategies. Experience in fintech, blockchain or crypto industry is highly desirable. Familiarity with complex payment systems is a plus. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: The salary range for this position is $178,000.00 to $285,600.00. The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via Okcoin and OKX internal or external careers site. OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #LI-HYBRID#LI-HYBRID #LI-ED1

Senior Data Scientist Adobe Adobe, a leader in digital experiences, seeks a passionate Data Scientist to join the Digital Media Go to Market Data Science team. The team focuses on leveraging data to understand customers, inform strategy, and uncover new opportunities. The role involves using big data to deliver insights for critical business decisions within a highly cross-functional ecosystem. **In this role you can expect to have the responsibilities:** * Apply quantitative analysis, data modeling, and data science techniques to gain insights into customer's behavior * Use data insights to inform business strategies and enhance value * Monitor and analyze weekly performance metrics and provide forecasts * Collaborate with Finance, Product, and Marketing teams to develop quarterly and annual plans using data models * Identify and prioritize opportunities to enhance customer acquisition and engagement * Work with cross-functional teams to drive business growth * Analyze and interpret disparate quantitative data to identify trends and data segments **This role comes with the following benefits:** * Annual Incentive Plan (AIP) * Potential eligibility for long-term incentives through equity awards **This role requires you to have:** * 6+ years of quantitative analysis experience in e-commerce, strategy, or management consulting * Proficiency in SQL-like languages, Python, and R * Strong analytical and statistical modeling skills * Experience with data visualization tools such as Tableau or Power BI * Understanding of statistical modeling, machine learning, and data mining concepts * Excellent communication and presentation skills to various stakeholders **You would benefit from having:** * MS in Analytics or a related degree * Experience with Hive/Hadoop Adobe follows fair chance ordinances regarding applicants with arrest or conviction records and is an Equal Employment Opportunity and affirmative action employer. They adhere to non-discrimination policies based on legally protected characteristics. Discover exciting jobs in Data and Analytics . * San Jose, CA 95110, United States * Full-time * In-person * USD $ 127,300 - $ 229,300 per year Posted 64.0**********667 days ago The content on this page is not written or managed by Alooba. Please reach out to Adobe directly for any addtional information regarding this role. **Get a free consultation on hiring a Data Scientist.**

**PayPal** Published 08 Nov 2024 **Role Highlights** **Languages used** SQL Python R **Key skills** Data Engineer Data Analysis Financial Services Optimization Machine Learning Monetization Inference Prioritization Scripting DataSets Statistics Testing Regression Quantitative Mathematics Economics Security ML Scientist **Tools, Libraries and Frameworks** **Disclaimer** Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information. **Description** We're championing possibilities for all by making money fast, easy, and more enjoyable. Our hope is unlock opportunities for people in their everyday lives and empower the millions of people and businesses around the world who trust, rely, and use PayPal every day. For customer service, find us on Twitter at AskPayPal. ***************************** For employment opportunities, check out our job openings in the 'Jobs' tab. We're an equal opportunity employer that welcomes diversity, and offer generous benefits to help you thrive at work and in your free time.

* 8+ years of relevant industry work experience in data-driven projects with a well-rounded understanding of statistical fundamentals learning * Proficiency with Python and data science libraries (Pandas, NumPy, SciPy, Scikit-Learn, etc.) * Experience producing meaningful visualizations/dashboards/presentations to cross-functional teams * Understanding and exposure to the different levels of the data science cycle (definition, collection, preparation, extraction, analysis, modeling, and deployment) * Experience with Object Oriented Programming (OOP) concepts & scalable software design principles Salary Range : $89,100-$150,000 a year #LI-AS3

At CLARA analytics we build AI-based InsurTech products that help workers' compensation claims examiners get in front of their claims through easy-to-use AI and machine learning. Our CLARA Claims product helps claims managers focus their teams' efforts, while CLARA Providers helps connect the injured worker to the right doctor fast. While there is deep data science behind these solutions, they are packaged in easy-to-use formats that can start delivering value in a few months. Job Description CLARA analytics is looking for extraordinary data scientists to synthesize and leverage ever-growing datasets to help radically transform the operational performance in the workers' compensation sector. The Data Scientist role involves working on all stages of the data science pipeline, from acquiring and assessing data, selecting appropriate models and algorithms and/or deriving custom algorithms, testing and evaluating these algorithms and models, and incorporating them into a commercial product. She/He will work with a team of Data Scientists to create bleeding edge analytic technology. This is a chance to get in early with a rapidly growing Silicon Valley company, and to participate in developing the next generation of truly game-changing, healthcare-related products. Job title and compensation will be adjusted as appropriate to meet the experience level of the right candidate. Qualifications Key Responsibilities Analyze various data sets and build sophisticated mathematical/statistical models Design and optimize algorithms to achieve the best solutions Collaborate with product management and engineering departments to understand company needs and devise possible solutions Keep up-to-date with latest technology trends Communicate results and ideas to key decision makers Implement new statistical or other mathematical methodologies as needed for specific models or analysis Participate in product ideation sessions, roadmap reviews and customer calls as needed. Qualifications & Experience Strong quantitative and analytical skills with an advanced degree in a STEM discipline (Masters required, PhD preferred) Experience using at least two of the following: R, Python, C, C++, SQL, Java. (Experience with Spark/Scala a plus.) Experience defining research hypotheses, analyzing data sets, engineering features and building machine learning mathematical/statistical models and/or optimization algorithms Ability to communicate complex quantitative analysis results in a clear, precise, and actionable manner using a variety of presentation tools including Excel, PowerPoint, etc. Ability to work collaboratively and independently. Personal Characteristics A passion for data science and problem-solving in general Self-driven individual who can take a high level idea and see it through to completion with minimal supervision The desire and ability to work in a fast-paced, start-up atmosphere Takes a pragmatic approach to problem-solving, combined with the ability to thrive under the pressure of constant change and moving objectives Ability to work under tight deadlines and display grace under pressure Willingness to learn about the industry we serve Excellent organizational, interpersonal, and communication skills (both written and verbal). Additional Information At CLARA analytics, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

* Job ID: J38702 * Job Title: Data science * Duration: 12 Months + Extension * Hourly Rate: Depending on Experience (DOE) * Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD * Client: To Be Discussed Later * Employment Type: W-2, 1099, C2C - **(Data Science Lead)** Location: Santa Clara(Onsite) Job Requirements - A minimum of 7 years of experience in data science, with a proven track record of delivering impactful data-driven solutions. - In-depth expertise in statistical analysis, machine learning algorithms, and predictive modeling techniques. - Strong programming skills in languages such as Python, etc., with experience in data manipulation, cleaning, and analysis. - Experience in leading and managing a team of data scientists, including setting goals, providing guidance and feedback, and ensuring project success. - Proven ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders. - Strong problem-solving skills and the ability to think strategically to identify opportunities for leveraging data and analytics to drive business outcomes. - Familiarity with cloud platforms, such as DataBricks or Cloudera, and experience in deploying and managing data science models in a cloud environment. - Strong project management skills, with the ability to prioritize and manage multiple projects simultaneously. Qualifications - Master's or Ph.D. degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or a related field. - Proven experience in leading and managing a team of data scientists, including hiring, training, and mentoring. - Strong domain knowledge in a specific industry or sector, such as semiconductor or material science. - Publications or research experience in the field of data science, machine learning, or related areas. - Experience in working with unstructured data, such as text or image data, and applying natural language processing or computer vision techniques. - Knowledge of advanced analytics techniques, such as deep learning or reinforcement learning. - Experience in working with data engineering teams to build and optimize data pipelines for data processing and analysis. - Familiarity with data privacy and security regulations, and ensuring compliance in data science projects. - Strong business acumen and the ability to understand and align data science initiatives with business goals and objectives. - Active participation in data science communities, conferences, or meetups, and a passion for staying up-to-date with the latest advancements in the field. **Equal Opportunity Employer** DATA SCIENCE 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. DATA SCIENCE TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will DATA SCIENCE TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

* Job ID: J36993 * Job Title: Data Science * Duration: 12 Months + Extension * Hourly Rate: Depending on Experience (DOE) * Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD * Client: To Be Discussed Later * Employment Type: W-2, 1099, C2C **Job Description** * Build and evaluate predictive and decision models to be deployed in production systems, or for research * Analysis of large amounts of historical data, determining suitability for modeling, data clean-up and filtering, pattern identification and variable creation, selection of sampling criteria, generating performance definitions and variables * Conducting experiments with different types of algorithms and models, analyzing performance, to identify the best algorithms to employ. * Architect and develop operational models that run at scale thru partnership with data engineer teams * Master's degree or higher in Statistics/Math/Computer Science or related field * Background in applied statistical modeling on large experimental or observational data sets * Experience extracting data from a variety of sources, and a desire to expand those skills (working knowledge SQL is required, Spark is a plus) * Experience with one or more statistical or machine learning software such as R, Python, etc. **Equal Opportunity Employer** AI 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. AI TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will AI TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract **Equal Opportunity Employer** AI 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. AI TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will AI TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

Your Role Placed at the heart of Gensler's People + Process + Technology the Global Design Technology Studio drives the firm's digital transformation of our creative and project delivery practices throughout the globe. Our ultimate outcome is to co-create a design technology ecosystem that enables our practitioners to leverage the most advanced methodologies and technological solutions reaching a new level of creativity and delivering the most impactful designs to our clients. So, if you are a disruptive technologist that's ready to change the world with big and impactful ideas, we want you to join our growing and innovative award-winning team! The Global Design Technology Studio at Gensler is looking for a Data Scientist to join our team. In this role you will bring crucial leadership and capability into our Design Technology team that is delivering innovative solutions connecting the data and outcomes from our designs to our practitioners, projects, and clients through a highly creative and collaborative culture. You will be required to demonstrate strong technical aptitude with traditional and cutting-edge methodologies for the collection, management, analysis, synthesis, and assessment of large datasets with an objective of identifying trends, insights, and opportunities for improvement. What You Will Do Collaborate with the Data team to develop, train and deploy ML classification algorithms leveraging a continuous flow of data originating and extracted from data-rich design authoring tools Leverage the outcomes of trained data models to explore trends and define insights in alignment with business and client needs Define and develop data pipelines in MS Azure to deliver data and insights via Web APIs into data visualization platforms and other Gensler IP in partnership with Data Engineering colleagues Collaborate with studio colleagues on strategies & innovative solutions for driving insights back into early stages of the design process Research opportunities and implement the integration and correlation of additional datasets such as geospatial data, proprietary data, and operational data Research emerging technologies in the AEC space and make recommendations on build vs. buy strategies Support R&D of future Strategic Insights initiatives Support a fast-growing data-driven design community of practitioners in the firm Support and drive technical upskilling of project teams to implement sophisticated PowerBI solutions on projects Participate in the convergence of multiple aspects of our overall digital strategy with data and insights generation in alignment with business goals Your Qualifications Bachelor's or Master's degree in Data Science, Statistics, Applied Math, or Computer Science, along with equivalent practical experience in Applied Data, Data Engineering, and or Data Science. 10+ years of strong practical experience in statistical analysis, machine learning, and / or predictive modeling (AEC Industry experience a plus) Ability to work in a highly creative environment and collaborate on solutions to complex problems Track record of staying current with best practices and new technology solutions Proficiency with Azure services such as Azure Machine Learning, Azure Databricks, and Azure Data Factory leveraging data sources from SQL and No SQL data sources such as graph, Cosmos DB, JSON in Blob Storage, and vector databases Proficiency in SQL, Python and R (or equivalent) programming languages for data manipulation, analysis, and model development Experience with various machine learning & generative ai technologies, performance evaluation and creating end-to-end ML pipelines in Azure Experience with generative AI models & development frameworks, specifically around LLMs and NLP Understanding of Data governance practices, data privacy regulations, and security best practices Proficiency with Data Visualization Tools like PowerBI (DAX, Power Query, etc.) as well as tools for visualizing ML and GenAI apps such as plotly, seaborn, d3 and / or streamlit. Experience with using Git + source control in a team environment Experience with Microsoft Fabric is a plus Experience with development of serverless compute services like Azure Functions a plus Computer Vision experience is a plus Experience in REST API service development a plus C# as well as event-driven architectures is a plus Azure (or other cloud provider) certifications a plus *Our target base compensation range in Los Angeles is $120-130k plus bonuses and benefits and contingent on relevant experience* *Our target base compensation range in San Jose and San Francisco is $140-150k plus bonuses and benefits and contingent on relevant experience* Life at Gensler At Gensler, we are as committed to enjoying life as we are to delivering best-in-class design. From curated art exhibits to internal design competitions to “Well-being Awareness Week,” our offices reflect our people's diverse interests. We encourage every person at Gensler to lead a healthy and balanced life. Our comprehensive benefits include medical, dental, vision, disability, wellness programs, flex spending, paid holidays, and paid time off. We also offer a 401k, profit sharing, employee stock ownership, and twice annual bonus opportunities. Our annual base salary range has been established based on local markets. As part of the firm's commitment to licensure and professional development, Gensler offers reimbursement for certain professional licenses and associated renewals and exam fees. In addition, we reimburse tuition for certain eligible programs or classes. We view our professional development programs as strategic investments in our future.