Data scientist jobs in Aliso Viejo, CA

🚀 We're Hiring: Senior Data Consultant - (Supply Chain Planning) Bristlecone, a Mahindra company, is a leading supply chain and business analytics advisor, rated by Gartner as one of the top ten system integrators in the supply chain space. We have been a trusted partner to global enterprises such as Applied Materials, Exxon Mobil, Flextronics, Nestle, Unilever, Whirlpool, and many others. 🔍 Project Overview: We are looking for a strong Data Consultant to support our planning projects. The ideal candidate will have a solid understanding of planning processes and data management within a supply chain or business planning environment. While deep configuration knowledge of SAP IBP is not mandatory, the consultant must have a strong grasp of planning data, business rules, and their impact on planning outcomes. This is a strategic initiative aimed at transforming planning processes across Raw Materials, Finished Goods, and Packaging materials. You'll be the go-to expert for managing end-to-end planning data across SAP IBP and ECC systems (SD, MM, PP). 🛠️ Key Responsibilities: Collaborate with planning teams to analyze, validate, and manage data relevant to planning processes. Demonstrate a clear understanding of basic planning functionalities and how data supports them. Identify, define, and manage data elements that impact demand, supply, and inventory planning. Understand and document business rules and prerequisites related to data maintenance and planning accuracy. Coordinate data collection activities from super users and end users across multiple functions. Support data readiness for project milestones including testing, validation, and go-live. Explain how different data elements influence planning outcomes to non-technical stakeholders. Work closely with functional and technical teams to ensure data integrity and consistency across systems. Required Skills & Qualifications: Strong understanding of planning processes (demand, supply, or S&OP). Proven experience working with planning master data (e.g., product, location, BOM, resources, etc.). Ability to analyze complex datasets and identify inconsistencies or dependencies. Excellent communication and coordination skills with cross-functional teams. Exposure to SAP IBP, APO, or other advanced planning tools (preferred but not mandatory). Strong business acumen with the ability to link data quality to planning outcomes. 5-10 years of relevant experience in data management, planning, or supply chain roles. Preferred Qualifications: Experience with large-scale planning transformation or ERP implementation projects. Knowledge of data governance and data quality frameworks. Experience in working with super users/end users for data validation and readiness. Privacy Notice Declarations for California based candidates/Jobs:: ********************************************************

ABI Document Support Services is seeking a highly skilled Data Engineer with proven experience in Power BI and data pipeline development. This person will ideally work onsite out of the Loma Linda, CA office Tuesday, Wednesday and Thursdays and remote Mondays and Fridays. Apply fast, check the full description by scrolling below to find out the full requirements for this role. The ideal candidate will design, build, and maintain scalable data infrastructure to support analytics and reporting needs across the organization. You'll work closely with business stakeholders and analysts to ensure data accuracy, performance, and accessibility. Design, build, and maintain ETL/ELT pipelines for structured and unstructured data from various sources. Develop and manage data models, data warehouses, and data lakes to support analytics and BI initiatives. Create and optimize Power BI dashboards and reports, ensuring accurate data representation and performance. Collaborate with cross-functional teams to identify business requirements and translate them into technical solutions. Implement and maintain data quality, governance, and security standards. Monitor and optimize data pipeline performance, identifying bottlenecks and opportunities for improvement. Integrate data from multiple systems using tools such as Azure Synapse, Microsoft Fabric, SQL, Python, or Spark. Support data validation, troubleshooting, and root cause analysis for data inconsistencies. Document data processes, architecture, and system configurations. Required: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field. 4-6 years of experience as a Data Engineer, BI Developer, or related role Strong proficiency in SQL and data modeling techniques. Hands-on experience with Power BI (DAX, Power Query, and data visualization best practices). Experience with ETL tools and data orchestration frameworks (e.g., Azure Synapse, Airflow, or SSIS). Familiarity with cloud data platforms (Azure, AWS, or GCP). Strong understanding of data warehousing concepts (e.g., star schema, snowflake schema). Preferred: Experience with Python or Scala for data processing. Knowledge of Azure Synapse, Databricks, or similar technologies. Understanding of CI/CD pipelines and version control systems (Git). Exposure to data governance and security frameworks. Soft Skills Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Detail-oriented with a focus on data accuracy and integrity. Ability to work independently and manage multiple priorities in a fast-paced environment. WHO WE ARE ABI Document Support Services is the largest nationwide provider of records retrieval, subpoena services, and document management for the legal and insurance industries. There is no other company in the market that provides the volume of successfully retrieved records or the document management solutions that ABI offers. Our singular focus is records retrieval and the most advanced technology solutions for our clients to manage, analyze and summarize those retrieved records. We are committed to continually raising the bar for cost effective record retrieval and more thorough analysis and summarization. Equal Opportunity Employer. xevrcyc All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. Equal Opportunity Employer - Minorities/Females/Disabled/Veterans ABI offers a fast-paced team atmosphere with competitive benefits (medical, vision, dental), paid time off, and 401k. #LI-MB1

Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment Health community. Working at Alignment Health provides an opportunity to do work that really matters, not only changing lives but saving them. Together. Alignment Healthcare is a data and technology driven healthcare company focused partnering with health systems, health plans and provider groups to provide care delivery that is preventive, convenient, coordinated, and that results in improved clinical outcomes for seniors. We are seeking a mission-driven Data Scientist to join our growing team and support risk adjustment strategy within our Medicare Advantage line of business. This role focuses on enhancing risk score accuracy, CMS audit preparedness (RADV), and building AI-powered tools that improve clinical documentation review and integrity. You'll play a key role in advancing AVA, our proprietary clinical intelligence platform, by developing next-generation models that support autonomous chart review and NLP/GenAI-driven documentation analytics. This is a unique opportunity to work at the intersection of healthcare, compliance, and machine learning-transforming how we ensure both quality and regulatory alignment. Job Duties/Responsibilities: Collaborate with key business leaders to understand their business problems and come up with analytical solutions. Applying coding skills and knowledge data structures to develop projects in partnership with other scientists and engineers in the team Build customer segmentation models to better understand our customers and tailor the clinical outcome and healthcare care experience for them. Build and fine-tune models for both LLMs and OCR-based document understanding, enabling accurate extraction from scanned or low-quality medical charts. Develop scalable model pipelines that integrate NLP, computer vision, and unstructured data, leveraging cloud-based infrastructure (Azure) and containerized environments. Collaborate with engineering teams to version, test, and deploy models using Git, CI/CD pipelines, and virtual machine (VM) environments. Design algorithms to predict audit risk and detect documentation anomalies across cohorts and markets. Partner with Coding, Compliance, CDI, Clinical, and Legal teams to ensure data outputs are aligned with CMS guidance. Help standardize definitions, documentation logic, and reporting workflows to scale enterprise-wide AI-readiness. Help analytical support for CMS Star Ratings strategy, including: Audit sampling methodology validation Chart review error pattern identification Root cause analysis on deletion rates and extrapolation exposure Supervisory Responsibilities: N/A MINIMUM REQUIREMENTS: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Minimum Experience: 2+ years of relevant experience in predictive modeling and analysis Education/Licensure: Required: PhD in Computer Science, Engineering, Mathematics, Statistics, or related field, or equivalent experience Other: Excellent communication, analytical and collaborative problem-solving skills Experience in building end to end data science solutions and applying machine learning methods to real world problems with measurable outcomes. Deep understanding and experience with various machine learning algorithms, including deep neural networks, natural language processing and LLMs. Solid data structures & algorithms background. Strong programming skills in one of the following: Python, Java, R, Scala or C++ Demonstrated proficiency in SQL and relational databases. Experience with data visualization and presentation, turning complex analysis into insight. Experience in setting experimental analytics frameworks or strategies for complex scenarios. Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development, and evaluation data sets, etc. Experience with manipulating and analyzing complex, high-volume, high-dimensionality and unstructured data from varying sources Preferred Qualifications: Healthcare experience Experience in Big Data processing technologies: Databricks Experience in Azure, AWS or other cloud ecosystems. Experience in NoSQL databases. Published work in academic conferences or industry circles. Demonstrable track record dealing well with ambiguity, prioritizing needs, and delivering results in an agile, dynamic startup environment Knowledge of CMS Risk Adjustment Data Validation (RADV) audits Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. ESSENTIAL PHYSICAL FUNCTIONS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to talk or hear. The employee regularly is required to stand, walk, sit, use hand to finger, handle or feel objects, tools, or controls; and reach with hands and arms. The employee frequently lifts and/or moves up to 10 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus. Alignment Healthcare, LLC is proud to practice Equal Employment Opportunity and Affirmative Action. We are looking for diversity in qualified candidates for employment: Minority/Female/Disable/Protected Veteran. If you require any reasonable accommodation under the Americans with Disabilities Act (ADA) in completing the online application, interviewing, completing any pre-employment testing or otherwise participating in the employee selection process, please contact ******************. Pay Range: $149,882.00 - $224,823.00 Pay range may be based on a number of factors including market location, education, responsibilities, experience, etc. Alignment Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity, or sexual orientation. *DISCLAIMER: Please beware of recruitment phishing scams affecting Alignment Health and other employers where individuals receive fraudulent employment-related offers in exchange for money or other sensitive personal information. Please be advised that Alignment Health and its subsidiaries will never ask you for a credit card, send you a check, or ask you for any type of payment as part of consideration for employment with our company. If you feel that you have been the victim of a scam such as this, please report the incident to the Federal Trade Commission at ******************************* If you would like to verify the legitimacy of an email sent by or on behalf of Alignment Health's talent acquisition team, please email ******************.

“I can succeed as a Data Scientist at Capital Group.” As a Data Scientist, you will lead projects which leverage data science techniques to mine and interpret data to solve strategic, tactical, structured, and unstructured business problems that are posed to them. You will be responsible to interpret and communicate analytic results to analytical and non-analytical business partners and senior managers. These applications are aimed at organizing information, engaging and guiding clients, delivering personalized investment content and products, predicting client's next best action, and determining where and when to target clients “I am the person Capital Group is looking for.” MS in (PhD preferred) Computer Science, Artificial Intelligence, Machine Learning, or related technical field with a minimum of 2 years experience. You will build the capability to study and analyze structured and unstructured data, data from multiple internal and external sources to enable pattern seeking and analysis. You are proficient at translating unstructured business problems into math framework in scientific way, and able to articulate the logic. Experience with deep learning models, generative AI and optimization algorithms. Expertise in predictive analytics/statistical modeling/data mining algorithms Analyzes patterns from thousands of behavioral characteristics of financial advisors and investors, market news and economic data, to personalize investment outcomes. You are well versed in at least one statistical analysis tool. You have knowledge of distributed databases and have experience with SQL or related query languages. You have demonstrated agility in providing value gained through data science from large and complex datasets. You have experience in one or more of the following toolsets: Databricks and AWS Sagemaker, You have an ability to provide data analysis and visualization solutions using cutting edge tools, algorithms, frameworks and languages like PythonTensorflow/PyTorch, Plotly Dash, Streamlit, Power BI. Southern California Base Salary Range: $125,909-$201,454 In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital's annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings. You can learn more about our compensation and benefits here. * Temporary positions in Canada and the United States are excluded from the above mentioned compensation and benefit plans. We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.

At Apple, our Services help hundreds of millions of people get the most from the devices they love-whether through award-winning shows and movies, music in spatial audio, engaging workouts and meditations, amazing apps, or fun games. The Apple Media Products Data Science u0026 Analytics team is dedicated to uncovering meaningful insights and building data-powered solutions that enhance our services and support business growth-while honoring Apple's deep commitment to user privacy. We are seeking a Senior Marketing Data Scientist to help evolve our marketing strategies across Apple Services through the use of attribution, causal inference, testing, and predictive modeling. You'll play a pivotal role in understanding and improving how we engage customers, working with large-scale data in collaboration with partners across Business, Marketing, Product, and Engineering. This is a unique opportunity to influence the future of marketing at Apple through innovative, customer-first approaches-and to do it in a supportive, growth-minded environment that values diverse perspectives and inclusive collaboration. Collaborate with cross-functional teams (Business, Engineering, Product, and Marketing) to define key metrics, data requirements, and models for analysis, experimentation, and reporting. Investigate large-scale datasets to identify trends, measure impact, and generate insights that improve marketing strategies. Develop attribution methodologies and frameworks to assess the effectiveness of campaigns across channels. Design and build datasets, reports, and dashboards to monitor campaign and channel performance at scale. Conduct ad-hoc analyses to support major initiatives and campaigns. Help shape marketing campaign touchpoints and customer journey strategies to deepen engagement. Build predictive models, including LTV and propensity models, to support campaign optimization and audience targeting. Evaluate the incremental impact of marketing efforts using causal inference and testing methodologies. Explore how emerging technologies, such as generative AI, can be applied to create business value. Communicate insights and strategic recommendations to Marketing, Business, Finance, and Executive stakeholders. Partner with teams across Apple to support responsible data collection, governance, and access. Experience in a digital subscription or large-scale e-commerce business Deep understanding of marketing effectiveness measurement, particularly through causal inference methods. Master's or Ph.D. in a quantitative field is a plus, but not required. 8+ years of experience as a Data Scientist or Analyst in marketing, media, subscription, or tech environments, with a proven track record of campaign measurement and optimization. Strong proficiency in SQL and at least one programming language such as Python or R; experienced in building analytical datasets and pipelines using large-scale structured and unstructured data. Applied expertise in statistical and experimental techniques including A/B testing, regression, clustering, survival analysis, and causal inference. Demonstrated ability to translate complex data into clear, actionable business insights for cross-functional stakeholders. Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Economics) or equivalent professional experience.

With 30 years at the forefront of fintech innovation, we specialize in SaaS lending solutions that lead the industry. Our core mission is customer-centric, focusing on empowering Credit Unions across the United States with the tools to offer accessible, competitive lending services. We're deeply committed to enhancing the financial ecosystem for a broad network of credit unions, members and auto dealers. We invest in our greatest assets, our employees, and foster a culture of innovation and ownership through freedom and responsibility. We celebrate fiscal accountability, operational rigor and efficiency to create a sustainably healthy and robust business for the long term. About you You are a self-driven, conscientious, fiscally responsible, self-aware, passionate and compassionate professional. You are comfortable with ambiguity, eternally curious, and love problem solving. You operate as an owner and work with a growth mindset. You are extremely productive on your own, and act as a multiplier collaborating with others. You are tireless in questioning the status quo and pursue the best answers to the hardest problems to the benefit of the business. Your focus is strong and capable of context switching and pivoting with the business. In the vacuum of leadership, you assume it. We are seeking an experienced AI/ML Data Scientist to join Origence's AI team and lead the development of cutting-edge artificial intelligence solutions for our lending technology platform. The successful candidate will design and deploy advanced ML models, implement AI-driven automation across our lending processes, and spearhead the integration of generative AI technologies to enhance our digital lending solutions for credit unions and community banks. This role offers the opportunity to work at the forefront of AI in fintech, building production-scale machine learning systems that process millions of lending decisions while exploring emerging AI technologies like large language models and computer vision for document processing. What You ll Be Doing: AI/ML Model Development & Deployment Design, develop, and deploy advanced machine learning models for real-time credit decisioning, and document processing. Build and optimize neural networks for fraud detection, loan default prediction, and customer lifetime value modeling using TensorFlow, PyTorch, or similar frameworks Implement automated machine learning (AutoML) pipelines to streamline model development and hyperparameter optimization Create natural language processing solutions for loan application analysis, customer service automation, and regulatory compliance monitoring AI Infrastructure & MLOps Build and maintain scalable ML infrastructure using cloud platforms (Primarily Azure, but can extend to AWS, GCP) Implement MLOps best practices including model versioning, continuous integration/deployment, and automated monitoring Develop A/B testing frameworks for ML models to measure performance and business impact in production Create automated model retraining pipelines and drift detection systems Generative AI & Emerging Technologies Research and implement generative AI applications for loan document processing, customer communication, and risk assessment reporting Develop retrieval-augmented generation (RAG) systems for intelligent customer support and regulatory compliance assistance Explore large language model fine-tuning for financial domain-specific applications Investigate federated learning approaches for privacy-preserving model training across multiple financial institutions Collaboration & Communication Create data visualizations, dashboards, and reports to communicate findings to product teams, risk management, and executive leadership Collaborate with cross-functional teams including product development, risk management, and engineering to define analytical requirements and KPIs for lending products Present complex financial analyses to diverse stakeholders, translating technical findings into business-actionable insights Experimentation & Optimization Design and conduct A/B tests to optimize loan application processes, approval rates, and customer experience across Origence's digital lending platform Implement statistical testing methodologies to measure the impact of product changes and business initiatives Continuously monitor and improve model performance and accuracy The Ideal Candidate: Education: Master's degree or PhD in Machine Learning, Artificial Intelligence, Computer Science, Statistics, or related technical field Experience: 4+ years of hands-on experience developing and deploying ML models in production environments, preferably in financial services or fintech Proven track record of building end-to-end ML systems from research to production deployment Experience with both supervised and unsupervised learning techniques, deep learning, and reinforcement learning Specialized Skills: Technical Skills Expert-level proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn, XGBoost, LightGBM) Strong experience with cloud ML platforms (Primarily Azure, but can extend to AWS, GCP) Proficiency in MLOps tools and practices (MLflow, CI/CD for ML) Experience with big data technologies (Spark, Kafka, Airflow) and distributed computing Knowledge of SQL, NoSQL databases, and data engineering principles Familiarity with model interpretation techniques (SHAP, LIME) and explainable AI methods AI/ML Specializations Experience with transformer architectures, attention mechanisms, and large language models Knowledge of computer vision techniques for document processing and image analysis Understanding of natural language processing, text mining, and sentiment analysis Familiarity with generative AI models (GANs, VAEs, diffusion models) Experience with time series forecasting and sequential modeling techniques Domain Knowledge Understanding of loan origination principles and lending industry metrics Knowledge of common financial ratios, loan performance indicators, and risk assessment methodologies Awareness of regulatory environment affecting consumer and commercial lending Preferred Qualifications: Advanced AI/ML Experience PhD in Machine Learning, AI, or related field with publications in top-tier conferences (NeurIPS, ICML, ICLR, etc.) 6+ years of experience building production ML systems at scale in fintech, banking, or related regulated industries Experience leading AI research initiatives or managing ML engineering teams Track record of patents or open-source contributions in AI/ML Cutting-Edge AI Technologies Hands-on experience with foundation models, prompt engineering, and LLM fine-tuning (GPT, BERT, T5, etc.) Knowledge of multi-modal AI systems combining text, vision, and structured data Experience with federated learning, differential privacy, and privacy-preserving ML techniques Familiarity with quantum machine learning or neuromorphic computing approaches Understanding of AI ethics, bias detection, and fairness in ML systems Technical Leadership Experience with MLOps at enterprise scale, including model governance and risk management Knowledge of edge AI deployment and model optimization for mobile/embedded systems Background in distributed training, model parallelism, and large-scale inference systems Familiarity with AI accelerators (GPUs, TPUs, specialized AI chips) and performance optimization Why you should apply: Flexible Working Environment Paid Time Off 401k (8% match) College Tuition Benefits/ Tuition Reimbursement Good Benefits options Company Culture! Cultural and Holiday celebrations, Theme days like Star Wars Day & Bring your Kids to Work Day, Monthly Townhalls and Quarterly Company Meetings that ensure awareness, inclusion, and transparency. The starting salary range for this full-time position in Irvine, CA is $147900 - $184900 per year. This base pay will take into consideration internal equity, candidate s geographic region, job-related knowledge and experience among other factors. Origence maintains a highly competitive compensation program. Under company guidelines, this position is eligible for an annual bonus to provide an incentive to achieve targeted goals. Bonuses are awarded at company s discretion on an individual basis. Origence is an equal opportunity employer. All recruitment, hiring, training, compensation, benefits, discipline, and other terms and conditions of employment will be based upon an individuals qualifications regardless of race, religion, color, sex, gender identity, sexual orientation, national origin, ancestry, military service, marital status, pregnancy, age, protected medical condition, genetic information, disability or any other category protected by federal, state or local law.

Sony Pictures Entertainment (SPE) is home to some of the world's most beloved films and television series. From Cobra Kai to The Night Agent, our content reaches millions worldwide. Behind the scenes, our Insights, Strategy & Analytics (ISA) team empowers storytellers and business leaders with data-driven insights to shape the future of entertainment. We're looking for a Data Scientist with expertise in statistics and advanced machine learning to join our team. You'll work on high-impact projects that combine advanced analytics, machine learning, and experimentation to drive smarter decisions across SPE's production and content distribution businesses. What You'll Do: - Explore and analyze large, complex datasets to uncover audience insights and optimize content adoption. - Build and deploy predictive models and advanced analytics that guide business and creative strategies.- Manage cleansing and feature extraction of large unstructured data and develop insights on top of it- Apply LLMs, prompt engineering, and fine-tuning to tasks such as text analysis, summarization, metadata enrichment, and content tagging- Partner with engineers to productionalize machine learning models and monitor performance.- Create clear, compelling visualizations and communicate insights to both technical and non-technical audiences.- Collaborate with cross-functional partners (marketing, distribution, strategy, finance) to translate data insights into real-world business actions.- Research and test emerging machine learning techniques to keep SPE at the cutting edge. - Champion data-driven decision making within the organization by presenting findings to senior leaders. - Stay at the forefront of data science research and tools, and champion adoption across the ISA team. What We're Looking For: - Bachelor's degree in a quantitative field (Statistics, Computer Science, Engineering, Math, etc.); advanced degree a plus.- 6+ years of applied experience in data science, analytics, or machine learning.- Proficiency in Python and SQL.- Expertise with statistical modeling and building predictive models.- In depth knowledge of machine learning techniques, variable reduction, feature importance, and model interpretability- Experience with MLOps practices - model lifecycle management, containerization, workflow orchestration (Airflow, Kubeflow).- Familiarity with generative AI (LLMs, prompt engineering, fine-tuning) and open-source frameworks (Hugging Face, LangChain, etc.).- Excellent communication skills - ability to turn complex data into actionable recommendations.- Highly analytical, results oriented, have superior organizational skills with strong attention to details and deadlines in a fast-moving environment Nice to have: - Experience in the media & entertainment industry.- Familiarity with data visualization tools (Tableau, Power BI, Dash, or Shiny).- Experience applying GenAI for audience research, recommendation systems, or content insights. Why Join Us: - Shape the future of entertainment - your work will directly influence how audiences around the world discover and enjoy Sony content.- Collaborate with a diverse team of scientists, engineers, and strategists solving exciting, real-world challenges.- Be part of a culture that values curiosity, innovation, and continuous learning, with access to professional development and cutting-edge tools.- Enjoy the benefits of working at a global studio while contributing to projects that matter. Sony Pictures Entertainment is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, age, sexual orientation, gender identity, or other protected characteristics. To request an accommodation for purposes of participating in the hiring process, you may contact us at SPE_Accommodation_Assistance@spe.sony.com.

Locations: Boston | Chicago | Pittsburgh | New York | Brooklyn | Miami | Dallas | San Francisco | Seattle | Los Angeles | Manhattan Beach Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. Our Data Scientists are part of our rapidly growing team to apply data science methods and analytics to real-world business situations across industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative. What You'll Bring We are looking for dedicated individuals with a passion for data science, statistics, operations research and redefining organizations into AI led innovative companies. Successful candidates possess the following: * Comfortable in a client-facing role with the ambition to lead teams * Likes to distill complex results or processes into simple, clear visualizations * Explain sophisticated data science concepts in an understandable manner * Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) * Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data * Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients * Have strong project management skills Please note: any degree programs (including part-time) must be completed before starting at BCG. TECHNOLOGIES: Programming Languages: Python Additional info You must live within a reasonable commuting distance of your home office. As a member of that office, it is expected you will be in the office as directed. This role puts you on an accelerated path of personal and professional growth and development and so, at times, requires extended working hours. Our work often requires travel to client sites. FOR U.S. APPLICANTS: BCG is an Equal Employment Opportunity employer and is committed to a policy of administering all employment decisions and actions without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. The first-year base compensation for this role is: Data Scientist I: $110,000 USD Data Scientist II: $145,000 USD Data Scientist III: $160,000 USD At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees - and their eligible family members. * That's zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage: * Zero-dollar ($0) health insurance premiums for BCG employees, spouses, and children * Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs * Dental coverage, including up to $5,000 in orthodontia benefits * Vision insurance with coverage for both glasses and contact lenses annually * Reimbursement for gym memberships and other fitness activities * Fully vested Profit-Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan * Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement * Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) * Paid sick time on an as needed basis * Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Do Epic Science TAE is the world's first private fusion energy company, founded in 1998 to commercialize the cleanest, safest, most affordable, and sustainable form of carbon-free power. We are applying science and engineering to design transformational technologies. Whether it's harnessing fusion through the science of stars, making exponential leaps in power efficiency, or innovating medical care with a novel cancer treatment: We're turning the promise of science into reality. We're looking for candidates who are passionate about realizing our mission: A future where all people have affordable access to reliable, abundant, and environmentally friendly fusion-generated electricity. About The Role We are seeking skilled data scientists to join our Data Science team at TAE Technologies. The experimental groups generate large and complex data sets, and only through advanced post-processing and modeling can these data reveal the secrets to the behavior of magnetically confined fusion plasma. By leveraging these insights, we aim to tackle the challenges of fusion energy development and deepen our understanding of plasma behavior. About You Pipeline Development and Maintenance: Help plan, develop, deploy, and maintain the entire Data Science pipeline at TAE, from data acquisition and storage to processing, visualization, and deployment. Data Processing and Knowledge Distillation: Collaborate with scientific staff and domain experts to iterate on prototype algorithms, converting them into robust scientific data processing routines. Software Product Life Cycle Management: Be responsible for all stages of the software product life cycle, including planning, analysis, coding, debugging, testing, deployment, and maintenance. Experimental Operations Support: Serve as a vital part of daily experimental operations by real-time monitoring and processing of data, ensuring experiments proceed smoothly, producing high-quality results. Task Management and Collaboration: Effectively manage multiple tasks independently and in a collaborative environment, ensuring timely and successful completion. Required Skills PhD in physics or related field 3+ years developing in python Experience using common python data analysis and visualization packages such as NumPy, SciPy, Pandas, and Matplotlib Able to work in a diverse R&D environment and communicate effectively and professionally with co-workers at all levels Passion for data integrity as this is central to what we do as a team Like to have: Ph.D. in plasma physics Familiarity with one or more Machine Learning libraries like Scikit-Learn, TensorFlow, and/or Keras Exposure to applying Bayesian statistical inference tools to experimental data Familiarity and comfort using the command line Education Ph.D. in Physics or related field At TAE Technologies, we consider a wide range of factors when making compensation decisions including but not limited to skill sets; experience and job-related knowledge, training; licenses and certifications, and other business and organizational needs. The total compensation package for this position may also include other elements depending on the position offered (non-Sr., Sr., Lead or Manager). The compensation range for these roles are $130,000 - $150,000 About US Imagination, skill, and will We are a diverse team of over 500 engineers, scientists, professionals, Maxwell Prize winners, and big thinkers from more than 40 countries with a track record of delivering on the innovative ways science can lead humanity into a brighter era. We are not afraid to envision a future where fusion and science can transform our world. What you'll get with us * Generous benefits such as Medical, Dental, Vision, 401 (K) with company match, paid vacation + sick time, companywide December holiday, wellness program, parental leave * Payment rewards: For referring talent, novel research, and patents * A collaborative environment: An organization where talents and interests can plug in to different groups throughout the organization Potential for equity participation * HQ in Southern California * Employee events on and off-site * A commitment to upholding and growing an inclusive organization Learn more tae.com Our podcast Good Clean Energy Instagram LinkedIn TAE Technologies is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. We ensure all individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us ****************** to request accommodations or request more information. Note to Agencies: TAE prefers to hire directly and maintains an existing preferred supplier list. We do not accept speculative CVs or referrals from agencies. If speculative CVs are sent, no fee will be applicable.

Global Service Resources is looking for a contractor in Los Angeles. Shift: 7:15 AM - 6:00 PM Assignment type: Temporary (12 months w/ high chance of extension or hire) Pay rate: $80-$85/hour Job Description: Leads development of a full Data Science Program to support data-driven decision-making and advanced analytics. Provides training, mentorship, and guidance to junior team members. Drives adoption of predictive analytics, AI solutions, and Databricks (or similar). Translates complex technical concepts into actionable insights; collaborates with Data Engineering and Data Management teams. Manages multiple priorities with strong organization, communication, and quality assurance skills. Ensures high-quality deliverables and supports team growth through structured mentorship. Qualifications: 5+ yrs leading data science initiatives (ML models, statistical analysis, production workflows). 3+ yrs using Databricks or similar cloud analytics platforms. 3+ yrs applying advanced analytics (regression, classification, NLP, forecasting, clustering). 2+ yrs implementing MLOps (MLflow, CI/CD, model monitoring, automated pipelines). 2+ yrs collaborating with data engineering on pipelines and Lakehouse/warehouse architectures. 2+ yrs mentoring or supervising junior data science staff. 2+ yrs Python & SQL experience with major relational databases. 1+ yr operationalizing analytics within enterprise governance/compliance frameworks. Education: Master's in Data Science, Statistics, CS, or related field (experience may substitute). Certifications (required): One of the following - Azure DP-100, Databricks ML/Data Scientist, AWS ML Specialty, Google Professional Data Engineer, or similar. ***LOS ANGELES COUNTY HAS A VERY RIGOROUS INTERVIEW/HIRING/ON-BOARDING PROCESS DUE TO THE CONFIDENTIALITY OF THE POSITION. PLEASE NOTE THAT INTERVIEWS AND BACKGROUND CHECKS MAY TAKE 2 TO 6 WEEKS ALTOGETHER*** Note: You will not receive the same benefits as a direct County employee. You will be eligible for Health Insurance at a Discounted Rate and 5 paid Sick Days after 90 days of employment. E-Verify: All employees are required to comply with E-Verify, an Internet-based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA). E-Verify electronically verifies employment eligibility by comparing information provided on the I-9 form to records in the DHS and SSA databases. E-Verify check will be conducted, and the successful candidate must pass the E-Verify check. About Us: Global Service Resources is a national recruiter for IT professionals and Healthcare professionals throughout the continental United States. We specialize in government and private short term, per diem, and long-term contracts. We are located in Burbank, CA and take great pride in offering the best paying contract positions on the market! We make a great team! Let us get you to work!

Job Description We are seeking a strong skilled SQL developer with python scripting experience in the healthcare industry. The ideal candidate should have several years of experience in data analysis and data modeling using SQL, Python, and data visualization tools such as PowerBI, SSRS, Qlik. Experience with CMS (Center for Medicare and Medicaid) and Value Based Care programs is highly preferred with an emphasis on knowledge with claims data (CCLF) and electronic medical records (EMRs). Key Responsibilities: Estimate impact with rigorous retrospective analyses (LOS, readmissions, mortality, reimbursement). Contribute into building end-to-end data modeling of clinical and claims data. Productionize efficient, reusable, and reliable SQL code to meet business requirements and help to define technical requirements as needed. Develop, test, and maintain reporting in Power BI driven from electronic medical records data, claims data, HIE data, Salesforce data and other external data sources. Collaborate with cross-functional teams to understand and define, design, and deliver new reports, dashboards, features and enhancements. Create comprehensive reports and data visualizations using Power BI to support decision-making processes. Ensure the performance, quality, and responsiveness of reporting tools. Maintain up-to-date knowledge of emerging technologies and industry trends. Participate in code reviews and contribute to a culture of continuous improvement. Ensure compliance with healthcare regulations and standards, including HIPAA. Required Qualifications: Bachelor's degree in computer science, Information Technology, or a related field, or equivalent practical experience. Four plus years of experience in working with Medicare Shared Savings Program Strong understanding of claims and EMR data structures. Proficiency in back-end technologies such as Node.js, Python, Ruby, Java, or .NET. Experience with database management systems such as Azure, SQL, and MySQL. Expertise in report writing and data visualization using Power BI in the healthcare industry. Strong understanding of healthcare regulations and standards. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Ability to work in the Costa Mesa office 1-2 days per week (at discretion of hiring manager). Preferred Qualifications: Strong understanding of CMS and Value Based Care programs such as MSSP. Good understanding with Azure, MySql, MSSQL and Data Factory. Knowledge of healthcare interoperability standards (e.g., HL7, FHIR). Experience with DevOps practices and tools (e.g., Docker, Kubernetes, Jenkins, Github). Familiarity with Agile development methodologies. Familiar with LLM and AI technology solutions in healthcare.

Data Scientist, Pricing Opendoor is transforming one of the largest, most complex markets in the world - residential real estate - using data at massive scale. Every pricing signal we generate directly impacts how we value homes, how we manage risk, and how efficiently capital moves through our marketplace. The work is highly leveraged: the quality of our pricing decisions influences conversion, margins, customer trust, and the company's financial performance. We are looking for mid to senior level Data Scientists. In this role, you will be a core driver of how Opendoor prices real estate at scale. You'll operate at the intersection of economics, machine learning, experimentation, and product strategy - tackling ambiguity, shaping the pricing roadmap, and building models/analyses that materially move the business. Your insights will influence how we evaluate millions of dollars of housing inventory - and directly shape outcomes for our customers, our balance sheet, and the health of our marketplace. What You'll Do * Build and maintain pricing metrics, dashboards, and frameworks. * Run experiments and causal analyses to measure impact and drive decisions. * Develop predictive + statistical models that improve pricing accuracy. * Partner closely with Product, Engineering, and Operations teams to influence roadmap and model deployment. * Deliver insights and narratives that inform executive strategy. Skills & Qualifications * Deep statistical reasoning: hypothesis design, experimental design, causal inference, and ability to distinguish signal vs noise. * Proven end-to-end ML ownership: data acquisition, feature engineering, model development, validation, deployment, and ongoing monitoring. * Strong SQL + Python proficiency; comfortable working with production data pipelines and modern ML tooling (e.g., Spark, Airflow, Ray, SageMaker, Vertex, etc.). * Demonstrated ability to translate complex analytical findings into clear business recommendations and influence cross-functional decision-making. * Experience working with ill-defined problems and driving clarity on problem definition, success metrics, and realistic tradeoffs. * High data-quality bar: disciplined approach to validation, bias analysis, and making decisions rooted in evidence vs intuition. * Effective communicator - able to tell the story behind the model to both highly technical and non-technical audiences. Base salary range for this role varies. Generally, the base salary range is $135,000 - $199,000 CAN annually + RSUs + bonus + ESPP + additional employee benefits (medical/dental/vision, life insurance, unlimited PTO, 401K). JR 9200 #LI-KC1 About us…. Powering life's progress, one move at a time Since 2014, we've been reinventing life's most important transaction with a new, simple way to buy and sell a home. The traditional real estate process is broken, and our mission is clear: build a digital, end-to-end experience that makes buying and selling a home simple and certain. We're a team of problem solvers, innovators, and operators building the largest, most trusted platform for residential real estate. Whether it's starting a family, taking a new job, or making a life change, we help people move forward with confidence. This work isn't easy, and it's not for everyone. But if you want to be part of a team that's tilting the world in favor of people who want to sell, buy, or own a home then you'll find purpose here. Opendoor Values Openness We believe that being open about who we are and what we do allows us to be better. Individuals seeking employment at Opendoor are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, gender identity or other protected status under all applicable laws, regulations, and ordinances. We collect, use, and disclose applicant personal information as described in our personnel privacy policies. To learn more, you can find the policy details for California residents here and for Canada residents here. We are committed to assisting members of the military community in utilizing their skills at Opendoor. U.S. candidates are able to review your military job classification at MyNextMove.org and apply for positions that align with your expertise. At Opendoor, we are committed to providing reasonable accommodations throughout our recruitment processes for candidates with disabilities, pregnancy, religious beliefs, or other reasons protected by applicable laws. If you require assistance or a reasonable accommodation, please contact us at ********************************.

Hi Professional, I hope you're doing well and having a great day! My name is Ankish, and I work with TPI Global Solutions, a global talent solutions firm providing a wide range of staffing and consulting services to leading technology companies and professionals like you. I came across your profile on a job portal and was impressed with your background. Based on your experience, I believe you could be a great fit for an exciting opportunity we are currently supporting. Job Title: Principal Data Scientist Address: Alhambra, CA (Hybrid) Duration: 12+ month contract with likelihood for extension) Duties: The Principal Data Scientist works to establish a comprehensive Data Science Program to advance data-driven decision-making, streamline operations, and fully leverage modern platforms including Databricks, or similar, to meet increasing demand for predictive analytics and AI solutions. The Principal Data Scientist will guide program development, provide training and mentorship to junior members of the team, accelerate adoption of advanced analytics, and build internal capacity through structured mentorship. The Principal Data Scientist will possess exceptional communication abilities, both verbal and written, with a strong customer service mindset and the ability to translate complex concepts into clear, actionable insights;strong analytical and business acumen, including foundational experience with regression, association analysis, outlier detection, and core data analysis principles;working knowledge of database design and organization, with the ability to partner effectively with Data Management and Data Engineering teams;outstanding time management and organizational skills, with demonstrated success managing multiple priorities and deliverables in parallel;a highly collaborative work style, coupled with the ability to operate independently, maintain focus, and drive projects forward with minimal oversight;a meticulous approach to quality, ensuring accuracy, reliability, and consistency in all deliverables;and proven mentorship capabilities, including the ability to guide, coach, and upskill junior data scientists and analysts. Skills: 5+ years of professional experience leading data science initiatives, including developing machine learning models, statistical analyses, and end-to-end data science workflows in production environments. 3+ years of experience working with Databricks and similar cloud-based analytics platforms, including notebook development, feature engineering, ML model training, and workflow orchestration. 3+ years of experience applying advanced analytics and predictive modeling (e.G., regression, classification, clustering, forecasting, natural language processing). 2+ years of experience implementing MLOps practices, such as model versioning, CI/CD for ML, MLflow, automated pipelines, and model performance monitoring. 2+ years of experience collaborating with data engineering teams to design data pipelines, optimize data transformations, and implement Lakehouse or data warehouse architectures (e.G., Databricks, Snowflake, SQL-based platforms). 2+ years of experience mentoring or supervising junior data scientists or analysts, including code reviews, training, and structured skill development. 2+ years of experience with Python and SQL programming, using data sources such as SQL Server, Oracle, PostgreSQL, or similar relational databases. 1+ year of experience operationalizing analytics within enterprise governance frameworks, partnering with Data Management, Security, and IT to ensure compliance, reproducibility, and best practices. Preferred Qualifications: This classification requires possession of a Master's degree or higher in Data Science, Statistics, Computer Science, or a closely related field. Additional qualifying professional experience may be substituted for the required education on a year-for-year basis. At least one of the following industry-recognized certifications in data science or cloud analytics, such as: Microsoft Azure Data Scientist Associate (DP-100) Databricks Certified Data Scientist or Machine Learning Professional AWS Machine Learning Specialty Google Professional Data Engineer or equivalent advanced analytics certifications. The certification is required and may not be substituted with additional experience. Additional Note: This position is HYBRID (2 days onsite, 2 days telework). Interviews will be conducted via Microsoft Teams. The work schedule follows a 4/40 (10-hour days, Monday-Thursday), with the specific shift determined by the program manager. Shifts may range between 7: 15 a.M. And 6: 00 p.M.

We are seeking a talented and driven Data Scientist with Secret Clearance to join our dynamic team. In this role, you will apply advanced data analytics and machine learning techniques to solve complex problems in a variety of domains. You will work with large datasets, develop predictive models, and support decision-making processes while adhering to the highest standards of security and confidentiality. As with any position, additional expectations exist. Some of these are, but are not limited to, adhering to normal working hours, meeting deadlines, following company policies as outlined by the Employee Handbook, communicating regularly with assigned supervisor(s), and staying focused on the assigned tasks including company meetings, and completing other tasks as assigned. Responsibilities Analyze large and complex datasets to extract actionable insights that will inform business strategies and decisions Develop, implement, and maintain predictive models and machine learning algorithms Collaborate with cross-functional teams to understand business needs and translate them into technical solutions Use statistical methods, data mining, and machine learning to uncover trends and patterns within the data Prepare reports and presentations that effectively communicate your findings to both technical and non-technical stakeholders Ensure compliance with all security protocols and confidentiality requirements, adhering to industry standards and internal policies Support senior leadership in strategic decision-making through advanced data-driven insights Stay up-to-date with the latest developments in data science, machine learning, and related fields Provide technical guidance and mentorship to junior data scientists and analysts Basic Qualifications US Citizenship Required Active Secret Security Clearance If applicable: If you are or have been recently employed by the U.S. government, a post-employment ethics letter will be required if employment with VSolvit is offered Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or related field (Master's preferred) At least 3+ years of experience as a Data Scientist or in a related data analysis role Strong proficiency in Python, R, or similar programming languages for data analysis Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) Strong knowledge of SQL and experience with relational databases Familiarity with data visualization tools like Tableau, Power BI, or similar Solid understanding of statistical modeling, hypothesis testing, and data-driven decision-making Excellent communication skills, with the ability to present technical findings to non-technical stakeholder If applicable: If you are or have been recently employed by the U.S. government, a post-employment ethics letter will be required if employment with VSolvit is offered Preferred Qualifications Experience working with classified government data or in a defense-related environment Familiarity with cloud platforms (AWS, Azure, etc.) and data processing tools Knowledge of big data technologies (e.g., Hadoop, Spark) Experience with DevOps practices and version control (Git, GitHub) Strong problem-solving skills and ability to work in a fast-paced environment Machine Learning experience is a plus Company Summary Join the VSolvit Team! Founded in 2006, VSolvit (pronounced 'We Solve It') is a technology services provider that specializes in cybersecurity, cloud computing, geographic information systems (GIS), business intelligence (BI) systems, data warehousing, engineering services, and custom database and application development. VSolvit is an award winning WOSB, CA CDB, MBE, WBE, and CMMI Level 3 certified company. We offer a customizable health benefits program that best meets the needs of its employees. Offering may include: medical, dental, and vision insurance, life insurance, long and short-term disability and other insurance products, Health Savings Account, Flexible Spending Account, 401K Retirement Plan options, Tuition Reimbursement, and assorted voluntary benefits. Our goal is to grow together and enjoy the work that we do as a team. VSolvit LLC is an Equal Opportunity/Affirmative Action employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status.

ABOUT OUR CLIENT: Our Client has launched a new digital business. A digital innovation, product development, and commercialization firm. This first-of-its-kind firm will bring unique capabilities to create and grow disruptive digital products and platforms. Our Client goes beyond providing consulting, design, and technology services to form strategic venture teams with its clients in order to rapidly develop, launch, and grow transformational digital products, platforms, and businesses. Job Description We are looking for an Data Scientist who is passionate about building the data foundation, products and capabilities to help drive the rapid growth of new digital business. Our purpose is to help companies imagine, bring-to-life and launch digital businesses and solutions that have transformative customer impact. To do this, we've assembled a group of world-class business/strategy, product design, and technology professionals with deep knowledge and experience in digital businesses and solutions - from mobile applications and ecommerce, to new and emerging digital solutions yet to be realized. As a data scientist, you will use your skills to: • Demonstrate and communicate a passion about building the data foundation, products and capabilities that drive business growth • Build innovative data products: e.g., real-time services, such as personalization; A/B testing; audience segmentation; unified profile; commerce graph; as well as a big data platform on Hadoop and Spark with real-time data ingestion and processing. • Conceptualize, define, and oversee regular updates around key product metrics as the company's challenges and data evolve. • Execute descriptive analyses, ranging from identifying product opportunities to understanding user behavior. • Cultivate strong collaborations with product, engineering, senior stakeholders. • Share your technical solutions and product ideas with the BCG DV team through design review, pair programming, code reviews, and tech talks. • Balance competing priorities while adhering to deadlines and aligning resources with value demands Qualifications As a data scientist, you will need: • 5+ years of experience in analytical field • Experience in statistical modeling and/or machine learning • Experience with a programming language like Python, Java, R and C++ • Ability to translate data insights into product decisions • Enthusiasm for learning new things and going deep into detailed data analysis • Willingness to teach others • Workflow flexibility and strong teamwork skills • MS in Computer Science, Statistics, Applied Mathematics, or related areas Additional valued capabilities include: • PhD in Computer Science, Statistics, Applied Mathematics, or related areas • 2 years of relevant work experience, including expertise in recommender systems, personalization, collaborative filtering and content based filtering • Experience with distributed systems such as Hadoop/MapReduce, Spark, streaming data processing, cloud architecture • Experience with Python, Unix, or statistical software packages (R, SAS) for data manipulation • Familiarity with SQL or other querying language • Ability to work with dashboard and visualization software such as Tableau, D3, Mixpanel, Flurry or Google Analytics • Confidence with analytical tools such as Excel, R, Python, Stata,or Matlab Additional Information *Must work on-site *Environment is super causal, similar to a start-up tech feel. Very beachy California style. This is an In-house digital agency. *Perks: Cater luncheons, open work desk environment, comfortable work stations included ergonomic styles

Locations: Boston | Chicago | Pittsburgh | New York | Brooklyn | Miami | Dallas | San Francisco | Seattle | Los Angeles | Manhattan Beach Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. Our Data Scientists are part of our rapidly growing team to apply data science methods and analytics to real-world business situations across industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative. What You'll Bring We are looking for dedicated individuals with a passion for data science, statistics, operations research and redefining organizations into AI led innovative companies. Successful candidates possess the following: * Comfortable in a client-facing role with the ambition to lead teams * Likes to distill complex results or processes into simple, clear visualizations * Explain sophisticated data science concepts in an understandable manner * Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) * Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data * Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients * Have strong project management skills Please note: any degree programs (including part-time) must be completed before starting at BCG. TECHNOLOGIES: Programming Languages: Python Additional info You must live within a reasonable commuting distance of your home office. As a member of that office, it is expected you will be in the office as directed. This role puts you on an accelerated path of personal and professional growth and development and so, at times, requires extended working hours. Our work often requires travel to client sites. FOR U.S. APPLICANTS: BCG is an Equal Employment Opportunity employer and is committed to a policy of administering all employment decisions and actions without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. The first-year base compensation for this role is: Data Scientist I: $110,000 USD Data Scientist II: $145,000 USD Data Scientist III: $160,000 USD At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees - and their eligible family members. * That's zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage: * Zero-dollar ($0) health insurance premiums for BCG employees, spouses, and children * Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs * Dental coverage, including up to $5,000 in orthodontia benefits * Vision insurance with coverage for both glasses and contact lenses annually * Reimbursement for gym memberships and other fitness activities * Fully vested Profit-Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan * Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement * Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) * Paid sick time on an as needed basis * Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

About Conciergi AI Are you eager to make a significant impact in the ever-evolving AI landscape? Join Conciergi AI, a dynamic leader in AI innovation, as a Senior Data Scientist. You'll work alongside a top-tier AI team to harness data, advanced analytics, and cutting-edge models to fuel strategic growth and deliver real-world impact. This is your chance to lead data-driven transformation, build intelligent systems, and push the boundaries of conversational AI and automation. We seek a versatile expert with deep proficiency in conversational AI, LLMs, agentic AI, retrieval systems, and end-to-end ML development, combined with a relentless drive to learn, experiment, and solve complex problems. From designing RAG-powered chatbots to securing data pipelines, you'll own critical initiatives that power our AI-enabled operators and customer solutions. Please note that we are a fully on-site environment based in Irvine, CA. For the right candidate, we are open to potentially considering remote/hybrid arrangements and visa sponsorship opportunities. Key Responsibilities: Design, build, and refine conversational AI systems using retrieval-augmented generation (RAG), combining large language models (LLMs) with vector search and retrieval. Develop data ingestion and embedding pipelines to support scalable, efficient information retrieval. Fine-tune and adapt LLMs for domain-specific use cases, covering prompt engineering, instruction tuning, and low-rank adaptation (LoRA). Integrate AI models into CRMs, workflow platforms and vendor management systems. Own the end-to-end development of machine learning algorithms, from data collection and feature engineering to model training, validation, and performance tuning. Research and prototype emerging ML architectures and retrieval strategies to enhance performance. Resolve and rerank RAG's training material data for a single source of truth. Translate business requirements into robust, data-driven technical solutions with measurable outcomes. Collaborate with engineering teams to deploy, scale, and monitor AI systems across the organization. Identify new opportunities to embed machine learning into business processes and workflows. Partner with Product, Marketing, Finance, Risk, and Operations to define and track key performance metrics. Continuously improve data pipelines for accuracy, accessibility, and scalability. Support cross-functional data science initiatives and perform additional duties as needed. Other duties as assigned. Qualifications & Requirements: Education: Bachelor's degree in a quantitative or technical field; Master's or Ph.D. preferred. 8+ years of professional experience in data science, AI, or applied machine learning. Proven experience in designing and building Voice AI systems and/or chatbots, including speech recognition, conversational agents, and real-time dialogue models. Hands-on proficiency with leading machine learning and deep learning frameworks, such as LangChain, Hugging Face, TensorFlow, PyTorch, Keras, scikit-learn, and pandas. 7+ years of strong programming expertise in Python/Pyspark and SQL, with proven experience deploying AI solutions in cloud environments (AWS or Google Cloud Platform). 2+ years of practical experience working with MCP, LLMs, generative AI, and conversational AI frameworks (e.g., LangChain, LangGraph, RAG, Vector Databases, AutoGen, CrewAI). 5+ years of specialization in at least one area of advanced modeling - predictive analytics, recommendation engine, reinforcement learning, natural language processing (NLP), or causal inference. 4+ years of experience translating complex AI and data science concepts into tangible business outcomes, including stakeholder engagement and value quantification. 4+ years leading end-to-end AI solution delivery, from data architecture and model orchestration to front-end integration and user adoption. Demonstrated excellence in communication, storytelling, and customer engagement, with the ability to present technical insights in a clear and impactful manner. Experience developing agentic AI systems for conversational analytics, autonomous reporting, or intelligent decision support. Proven ability to design, train, and deploy machine learning models for real-world applications. Strong expertise in data acquisition, preprocessing, and quality assurance for enterprise or industry-scale use cases. Bonus Points: Strong data analysis and visualization skills. Practical knowledge of data engineering. A proactive and open mindset with a willingness to learn and adapt to emerging technologies and techniques. Compensation The compensation for this position is $130k - $190k+ (depending on experience). Benefits at Conciergi AI Competitive health, vision, and dental benefits (covering 100% premium for employee and all dependent(s)) 401K (with employer matching) Health and wellness reimbursement Catered lunches 5x times a week Work sponsorship (if applicable) Other employee perks As part of our dedication to the diversity of our workforce, Conciergi AI is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, gender, gender identity, gender expression, sexual orientation, age, physical or mental disability, medical condition, marital/domestic partner status, military and veteran status, genetic information or any other legally recognized protected basis under federal, state or local laws, regulations or ordinances.

Providing for loved ones, planning rewarding retirements, saving enough for whatever lies ahead - our policyholders count on us to be there when it matters most. It's a big ask, but it's one that we have the power to deliver when we work together. We collaborate and innovate - pushing one another to transform not just Pacific Life, but the entire industry for the better. Why? Because it's the right thing to do. Pacific Life is more than a job, it's a career with purpose. It's a career where you have the support, balance, and resources to make a positive impact on the future - including your own. We're actively seeking a talented Sr Data Scientist to join our SMS Data Science team in Newport Beach, CA or Omaha, NE. Relocation assistance may be provided. As a Senior Data Scientist, you'll play a key role in Pacific Life's underwriting transformation journey as we use machine learning and AI to modernize our underwriting workflow. How you'll help move us forward: Lead the development and implementation of data-driven models and algorithms to enhance the underwriting process. Use AI to process unstructured medical data and incorporate it into our models Automate processes using LLMs and agentic frameworks Collaborate with cross-functional teams, including underwriting, actuarial, and technology, to identify opportunities for process improvement and innovation. Analyze large and complex datasets to extract actionable insights and support decision-making. Stay up-to-date with industry trends and advancements in data science and machine learning. Mentor and guide junior data scientists and analysts. Communicate findings and recommendations to stakeholders through clear and concise reports and presentations. The experience you bring: Bachelor's, Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related field 8 + years experience working in Technology with focus on Data Science initiatives Strong proficiency in programming languages such as Python and SQL. Experience using LLMs to build agentic workflows Experience with machine learning frameworks and libraries (e.g., TensorFlow, scikit-learn). Excellent analytical and problem-solving skills. Strong communication and presentation skills. Ability to work collaboratively in a team environment. What makes you stand out: Proven experience as a Data Scientist in the life/health insurance industry. Knowledge of life insurance underwriting processes and regulations is a strong plus. You can be who you are. People come first here. We're committed to an inclusive workforce. Learn more about how we create a welcoming work environment at ******************** What's life like at Pacific Life? Visit Instagram.com/lifeatpacificlife. #LI-KP1 Base Pay Range: The base pay range noted represents the company's good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay. $148,230.00 - $181,170.00 Your Benefits Start Day 1 Your wellbeing is important to Pacific Life, and we're committed to providing you with flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we've got you covered. Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off Paid Parental Leave as well as an Adoption Assistance Program Competitive 401k savings plan with company match and an additional contribution regardless of participation EEO Statement: Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company.

SR. DATA SCIENTIST - AI/ML & LLM (AR/PA IT) Bowhead seeks a Sr. Data Scientist - AI/ML & LLM Specialist to join our team supporting the AR/PA IT Program at Naval Surface Warfare Center - Corona in Corona, California. The Sr. Data Scientist - AI/ML & LLM Specialist will work directly with the client analyzing complex and unique technical support assignments and lead or collaborate with engineers, cybersecurity personnel, and program analysts within an agile environment. They will report to the Program Manager of the Task Order. They will consider overall project design including cost, and schedule that may be associated with a project. **Responsibilities** + Hands-on experience fine-tuning and applying Large Language Models (LLMs) such as GPT, LLaMA, or Claude for NLP and generative tasks + Strong programming skills in Python; experience with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn + Proven experience with data analytics, feature engineering, and building end-to-end ML pipelines + Familiarity with vector databases and retrieval-augmented generation (RAG) pipelines + Experience integrating AI/ML models into secure or cloud-hosted environments (AWS, Azure, etc.) + Knowledge of RMF, STIGs, and DoD cybersecurity compliance practices + Conduct research to identify and assess new technology solutions for automating existing reporting processes. + Collaborate with cross-functional teams to design hardware and software architectures and system hosting strategies. + Lead the development of interfaces and software code to efficiently retrieve, modify, and update data. + Support the research and development of artificial intelligence/machine learning methods for advanced data analysis. **Qualifications** + Active DoD Security Clearance (Secret or higher required) + Five (5+) years of experience developing and deploying AI/ML models in enterprise or government environments + Must hold CompTIA Security+ (CE) certification + Strong problem-solving skills and the ability to innovate and implement creative solutions. + Excellent communication skills to collaborate effectively with cross-functional teams. + Attention to detail and a commitment to producing high-quality results. + Ability to provide clear and comprehensive technical documentation. + Proven experience in providing training and knowledge transfer to team members. Physical Demands: + Must be able to lift up to 25 pounds + Must be able to stand and walk for prolonged amounts of time + Must be able to twist, bend and squat periodically SECURITY CLEARANCE REQUIREMENTS: Must currently hold a security clearance at the Secret level. US Citizenship is a requirement for Secret clearance at this location. Applicants may be subject to a pre-employment drug & alcohol screening and/or random drug screen, and must follow UIC's Non-DOT Drug & Alcohol Testing Program requirements. If the position requires, an applicant must pass a pre-employment criminal background history check. All post-secondary education listed on the applicant's resume/application may be subject to verification. Where driving may be required or where a rental car must be obtained for business travel purposes, applicants must have a valid driver license for this position and will be subject to verification. In addition, the applicant must pass an in-house, online, driving course to be authorized to drive for company purposes. UIC is an equal opportunity employer. We evaluate qualified applicants without regard to race, age, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other protected characteristics EOE/D/V. In furtherance, pursuant to The Alaska Native Claims Settlement Act 43 U.S.C. Sec. 1601 et seq., and federal contractual requirements, UIC and its subsidiaries may legally grant certain preference in employment opportunities to UIC Shareholders and their Descendants, based on the provisions contained within The Alaska Native Claims Settlement Act. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities. All candidates must apply online at ****************** and submit a completed application for all positions they wish to be considered. Once the employment application has been completed and submitted, any changes to the application after submission may not be reviewed. Please contact a UIC HR Recruiter if you have made a significant change to your application. In accordance with the Americans with Disabilities Act of 1990 (ADA), persons unable to complete an online application should contact UIC Human Resources for assistance (******************************************** The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c) UIC Government Services (UICGS / Bowhead) provides innovative business solutions to federal and commercial customers in the areas of engineering, maintenance services, information technology, program support, logistics/base support, and procurement. Collectively, the fast-growing Bowhead Family of Companies offers a breadth of services which are performed with a focus on quality results. Headquartered in Springfield, VA, we are a fast-growing, multi-million-dollar company recognized as a top Alaska Native Corporation providing services across the Department of Defense and many federal agencies. Bowhead offers competitive benefits including medical, dental, vision, life insurance, accidental death and dismemberment, short/long-term disability, and 401(k) retirement plans as well as a paid time off programs for eligible full-time employees. Eligible part-time employees are able to participate in the 401(k) retirement plans and state or contract required paid time off programs. **Join our Talent Community!** Join our Talent Community (************************************************************************ to receive updates on new opportunities and future events. **ID** _2025-23125_ **Category** _Information Technology_ **Location : Location** _US-CA-Corona_ **Min** _USD $135,000.00/Yr._ **Max** _USD $175,000.00/Yr._ **Minimum Clearance Required** _Secret_ **Travel Requirement** _Less than 10%_