Senior data scientist jobs in Mission Viejo, CA

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 ******************.

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. Please view Equal Employment Opportunity Posters provided by OFCCPhere (******************************************* . 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 *****************/careers/recruitment/ . 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%_

Job Description 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.

Nexon America is a branch of Nexon Co., Ltd., a global video game publisher and leading developer of online virtual worlds for PCs, consoles, and mobile devices. Nexon proudly offers celebrated franchises like MapleStory and Mabinogi that have been enjoyed by millions of players for over two decades. When we founded our Nexon America branch in 2006, we made it our goal to bring those unique games to western players using a player-first approach. We achieve that goal by applying our team's outstanding free-to-play expertise and live game support to every decision, every day. But we're committed to more than our games! Here at Nexon America, we're all about open communication, diversity, mutual respect, and collaboration, so we can bring out the best in each other. Nexies find support, friendship, and career growth all in one place! And because we know a healthy work-life balance is the key to happiness, Nexies also enjoy flexible hours, a hybrid work model, and extra perks like food trucks, happy hours, and team events. It's why we've earned the Great Place to Work certification for 5 years running! We're looking to expand our team with passionate individuals who want to learn, play, and grow with us. Ready for a new challenge? Summary of Position Nexon America is looking for a talented Sr. Data Scientist to help Nexon's game business through data-driven insights and solve critical business problems by developing advanced machine learning algorithms. The Sr. Data Scientist is passionate about games, analytics, and applying advanced data science techniques to improve player experience, retention, and monetization. The Sr. Data Scientist collaborates with our Data teams, Business teams, Security team, and other stakeholders to implement data science models into live production systems. The Sr. Data Scientist brings fresh perspectives to inform decision-making toward better player experience by translating player voice into insights. We are currently working in the office 2-3x a week in a hybrid work model. Job Responsibilities * Apply your expertise in quantitative analysis, data visualization and data mining to tell the story behind numbers and find relevant insights for partners and leadership * Build and evaluate the ML models and statistical methods to provide Insight & Recommendation and solve the business problems * Establish scalable, automated processes for large scale data extraction, model development, model validation, model deployment, and its monitoring * Research and develop state-of-the-art machine learning, data mining, statistical modeling solutions, and language models to understand game business and key business behaviors, such as player acquisition, retention, and monetization * Maintain clear and comprehensive documentation of the models and analysis results, and present the results to the stakeholders clearly and effectively * Work closely with other data scientists, data analysts, data engineers, and other stakeholders to understand project requirements, provide valuable insights, and advanced solutions. * Mentor other engineers and scientists and contribute to their growth by providing guidance and advice. * Lead the improvement of the team's process. * Other duties as assigned Work Experience * 5+ years of proven professional working experience as a Data Scientist or related field (Advanced degrees may substitute for part of the required experience.) Education, Professional Training, Technical Training or Certification * BS (MS/PhD Preferred) in quantitative discipline (e.g. Computer Science, Statistics, Applied Mathematics, or a related field) Knowledge/Skills * Expertise in machine learning and statistical analysis approaches such as classification, clustering, regression, statistical inference, collaborative filtering, natural language processing, experimental design, social networking analysis, etc. * Experience managing advanced analytics projects which solve complex analytical problems using data exploration and analysis skills * Experience working with unstructured data (e.g., text, logs, JSON, images) * Expertise in evaluating, automating, deploying, and monitoring models in production systems * A true passion for understanding customer behavior on-platform and in-game * Expert analytical and problem-solving skills, plus the ability to innovate and work with strong initiative * Strong skills in statistical methods (e.g. hypothesis testing, time series modeling) * Strong SQL skills and strong Python skills; familiarity with Jupyter Notebook * Familiar with modern data platforms, and cloud systems (e.g. Snowflake, AWS) * Professional large language models and MLOps experience is a plus. * Online gaming experience is a BIG PLUS! Management has the right to add or change duties and job requirements at any time. Nexon's Benefits and Perks We offer medical, dental and vision plans for you, your spouse or domestic partner and your children. Employees who enroll in the high deductible health plan receive an annual employer contribution to a health savings account and company paid hospital indemnity benefits. We also provide company paid life, AD&D, short-term and long-term disability benefits as well as access to voluntary life and AD&D for yourself and your dependents, flexible spending accounts, a 401(k) savings plan with a company match, and pet insurance. Nexies are encouraged to take advantage of our monthly wellness credit, participate in lunchtime yoga, and enroll in language classes. We host bi-monthly catered lunches, monthly happy hours, and maintain a well-stocked snack bar. To help you maintain a good work life balance, we offer paid time off, sick days, company holidays, and a year-end break. Nexon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, protected veteran status, or any other basis protected by applicable law and will not be discriminated against on the basis of disability. Compensation Description for Pay Transparency (annually) The base salary range for this position in El Segundo, CA is $140,000 - $180,000 annually. Our salary ranges are determined by market data based on position and level. The range displayed on each job posting reflects the minimum and maximum salaries for that position. An individual's pay is determined by factors including, but not limited to, a candidate's qualifications, skills, experiences, relevant education or training, and location. Base pay is one part of the Total Rewards package that is provided to compensate and recognize employees for their work. This role may be eligible for additional discretionary bonuses/incentives, however the salary range listed in this job posting reflects the base salary only. Beware of Recruitment Scams We have been made aware of fraudulent recruitment activities by individuals falsely claiming to represent Nexon America. Our recruiters will only contact you from official company email addresses ending ************* and will follow a formal interview process. We will never request for payment or personal financial information such as photos of government-issued identification during the recruitment process or offer a job without a formal interview process. If you receive suspicious email, we advise you to mark the email as junk or spam, so your email provider will block future messages from the sender.

Senior Data Scientist Department: Clinical Science Reports to: CSO At Enchannel Medical, we're redefining the boundaries of electrophysiology with our next-generation DePolar™ mapping system and integrated NanoAblate™ PFA platform. Driven by our global mission to enhance the quality-of-life of heart rhythm patients, our discerning technology, paired with our passion for innovation, leads to enduring outcomes. Position Overview The Senior Data Scientist applies analytic methods to evaluate the technical performance and clinical application of EnChannel's 3D Mapping, PFA, and imaging platform in support of development, quality assurance, preclinical and clinical studies, regulatory submission, and publication in peer-reviewed journals. Duties and Responsibilities Design test's algorithms to evaluate the performance of navigation, mapping, and ablation methods (localizing electrode positions, generating 3D cardiac meshes, processing intracardiac signals, mapping electrophysiologic parameters, and assessing ablation lesions). Facilitate advancement and refinement of signal acquisition and processing algorithms. Assist in the design of preclinical study protocols and perform data analysis. Contribute to clinical research protocols and data analysis. Process and organize clinical data to establish and maintain a clinical database. Support R&D, Quality Assurance, and Regulatory Affairs data generation and analysis for submission to regulating and notified bodies. Contribute to the “Rhythm Library,” product documentation, educational material, and publications. Comply with quality system and regulatory requirements. Foster collaboration and respect within teams, physicians, and laboratory staff. Education, Experience and Skills Required Bachelor's degree or higher in Biomedical Engineering, Electrical Engineering, Physics, Biophysics, Biology, or Computer Science. 5+ years in cardiac electrophysiology product development or support. Knowledge of 12-lead ECG, intracardiac electrograms, cardiac anatomy, signal processing, electroanatomic mapping, and ML/AI. Proficiency in 2D/3D cardiac mapping, analytic geometry, programming (Python, R, SQL), data analysis (MATLAB, COMSOL, pandas, scikit-learn, TensorFlow), and data visualization (matplotlib, seaborn, Tableau). Cross-functional collaboration and project management experience. Strong communication skills, attention to detail, and ability to manage priorities under pressure. Ability to travel internationally Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum new hire pay for the position located in California. Within the range, individual pay is determined by location, additional factors, including job-related skills, experience, and relevant education or training. EnChannel Medical is an E-Verify and equal opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any basis covered under acceptable law. JOB CODE: 1360

Americor is an innovative finance technology company with a unique approach to debt resolution. Americor focuses on getting Americans out of debt quickly and responsibly so they can take control of their lives again. Our employees love coming to work and find value in what they do, consistently recognizing Americor as a top place to work. With over a decade of experience paired with a number of best company awards, Americor has relieved over $2 billion in debt for over 200,000 Americans. We are seeking an enthusiastic Sr. Data Scientist to join our team, with a specific focus on marketing optimization and machine learning productionisation. This role is ideal for someone who thrives at the intersection of data science, cloud engineering and business strategy. In the role, you'll work closely with stakeholders across Marketing, Sales, Data and Product to build predictive models, scale model implementation in AWS and translate model performance into insights and actions for executive leadership. Responsibilities: Perform extensive exploratory analyses across all the marketing channels Develop, test, productionalize, monitor and maintain propensity models to optimize marketing investment and customer acquisition in AWS leveraging S3, Lambda and SageMaker Productionize machine learning models with real-time and distributed batch scoring Proficiency with MLOps practices and tools for model versioning, monitoring, CI/CD pipelines Build dashboards in Tableau to communicate model trends, insights and performance Identify new areas of opportunity and ideate with stakeholders on new projects Stay current with industry best practices and emerging ML technologies Other duties as assigned Education & Experience: 5+ years of experience applying ML within lead generation and digital marketing Advanced AWS experience; solutions architect certification or equivalent expertise preferred Advanced proficiency with XGBoost, Neural Networks, and other ML techniques Advanced Python, SQL and Tableau Excellent storytelling and presentation skills Proven ability to position oneself to advise and teach across a data organization Bachelor's degree in Applied Mathematics, Computer Science, Physics, or equivalent experience; Master's preferred Additional Benefits: Career path Medical Dental Company paid group life / AD&D insurance 7 paid holidays and 2 flex days to use at will Paid time off Flexible spending/HAS Employee Assistance Program (EAP) 401(k) Referral program Compensation: $120,000-$150,000 annually, depending on experience. Work Location: Hybrid/Remote- Irvine, CA. Americor is proud to be an Equal Opportunity Employer. Americor does not discriminate based on race, color, gender, disability, veteran, military status, religion, age, creed, national origin, sexual identity or expression, sexual orientation, marital status, genetic information, or any other basis prohibited by local, state, or federal law. * Note to Agencies: Americor Funding, Inc. (the “Company”) has an internal recruiting department. Americor Funding Inc. may supplement that internal capability from time to time with assistance from temporary staffing agencies, placement services, and professional recruiters (“Agency”). Agencies are hereby specifically directed NOT to contact Americor Funding Inc. employees directly in an attempt to present candidates. The Company's policy is for the internal recruiting team or other authorized personnel to present ALL candidates to hiring managers. Any unsolicited resumes sent to Americor Funding Inc. from a third party, such as an Agency, including unsolicited resumes sent to a Company mailing address, fax machine, or email address, directly to Company employees, or to the resume database, will be considered Company property. Americor Funding Inc. will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Americor Funding Inc. will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees.

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.

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.

Data Scientist - User Insights Salary $150k -$180k Orange County - Hybrid Were looking for a Data Scientist to develop and deploy machine learning models that drive personalization and recommendation insights across SaaS and mobile app platforms.Candidate must be experienced in applying machine learning to real-world problems beyond just theoretical and mathematical concepts Over 5 years of experience designing, building, and deploying large-scale ML systems, with a preference for expertise in recommender systems, predictive modeling, or ad-tech. Proven track record of successfully bringing machine learning solutions to market. You need to deliver data in a way that engineers can easily use and integrate into their systems What youll do: Design, train, and deploy scoring and recommendation models that connect users with relevant offers and personalized experiences in an application. Practical experience working with Generative AI and large language model workflows. Collaborate with engineering, product teams to develop scalable machine learning systems that align with product goals . Successfully moved several machine learning models from prototype to production, delivering real business results. Skilled in Python and its tools like Pandas, PyTorch and TensorFlow. Strong SQL knowledge and experience working with big data platforms like Spark and Snowflake. Experience working hands-on with Generative AI and large language model workflows, including prompt engineering and fine tuning. Experience with ML Ops on cloud platforms such as AWS, including container tools like Docker and Kubernetes, and workflow tools like Airflow and Kubeflow. Experienced in integrating model services with scalable, version-controlled APIs for reliable deployment and maintenance. Perks: Medical, dental, and vision Wellness reimbursements Unlimited PTO Equity opportunity 401(k)

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.

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 ********************************.

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.

At Kia, we're creating award-winning products and redefining what value means in the automotive industry. It takes a special group of individuals to do what we do, and we do it together. Our culture is fast-paced, collaborative, and innovative. Our people thrive on thinking differently and challenging the status quo. We are creating something special here, a culture of learning and opportunity, where you can help Kia achieve big things and most importantly, feel passionate and connected to your work every day. Kia provides team members with competitive benefits including premium paid medical, dental and vision coverage for you and your dependents, 401(k) plan matching of 100% up to 6% of the salary deferral, and paid time off. Kia also offers company lease and purchase programs, company-wide holiday shutdown, paid volunteer hours, and premium lifestyle amenities at our corporate campus in Irvine, California. Status Exempt General Summary The Data Scientist will play an important role in executing data analysis for Kia North America's regional subsidiaries (KUS/KCA/KaGA/KMX). A future-driven automotive company, Kia has access to vast and diverse datasets and is excited to fill this position with an individual that can derive business improvements and insights from this data. Strong applicants for this role will have statistics, machine learning, and computer science skills to leverage high-performance compute clusters as well as perform reproducible data analysis at scale. With these requirements in mind, our mindset is that data, analytics, automation, and responsible AI can revolutionize our many lines of business. Essential Duties and Responsibilities 1st Priority - 30% Data wrangling and analysis * Assess the accuracy of new data sources * Understand the relationship between the data and the business process * Preprocess structured and unstructured data * Analyze large amounts of data to discover trends and patterns * Build prediction and classification models * Coordinate with different functional teams for feature engineering 2nd Priority - 30% Assess, visualize, and improve analysis * Test and continuously improve the accuracy of statistical and machine learning models * Present information using Python notebooks and/or dashboards * Simplify and explain complex statistics in an intuitive manner * Continuously monitor and validate production analysis results 3rd Priority - 20% Collaborate with IT Team to deploy analysis results * Build REST APIs for data and analysis result consumption * Assist the IT system developers to deploy analysis as a service 4th Priority - 20% Clear documentation, source code management, and reproducible analysis * Use git within GitLab * Create virtual environments to isolate project dependencies and requirements * Track model performance and hyperparameter configurations * Track data versioning Qualifications/Education Education: * Bachelor's degree or equivalent experience in related field of technology required * Master's degree in analytics, data science, or computer science preferred Job Requirement Overall Related Experience: * Experience querying databases and using programming languages such as Python and SQL * Experience using Hadoop ecosystem (Hadoop, Hive, Impala and Spark etc.) * Experience using statistics, machine learning and deep learning algorithms * Experience publishing results to stakeholders through dashboards (e.g. Power BI, MicroStrategy, Tableau) Directly Related Experience: * 3+ years of experience in data science preferred Specialized Skills and Knowledge Required * Proficiency in Python and SQL * Knowledge of a variety of machine learning techniques including deep learning * Knowledge of advanced statistical techniques * Knowledge and experience with natural language processing (NLP) * Experience with common Python libraries for data analysis such as Pandas and NumPy * Experience with visualization libraries such as Matplotlib, Seaborn, Plotly, Bokeh and plotnine * Experience developing and evaluating statistical and machine learning models using libraries such as stats models and Scikit-learn * Experience with deep learning frameworks such as PyTorch and TensorFlow * Experience with big data processing tools: Hadoop ecosystem, Spark etc. * Strong data-driven problem-solving skills * Excellent written and verbal communication skills to coordinate across teams Competencies * Care for People * Chase Excellence Every Day * Dare to Push Boundaries * Empower People to Act * Move Further Together Pay Range $82,382 - $110,272 Pay will be based on several variables that are unique to each candidate, including but not limited to, job-related skills, experience, relevant education or training, etc. Equal Employment Opportunities KUS provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, ancestry, national origin, sex, including pregnancy and childbirth and related medical conditions, gender, gender identity, gender expression, age, legally protected physical disability or mental disability, legally protected medical condition, marital status, sexual orientation, family care or medical leave status, protected veteran or military status, genetic information or any other characteristic protected by applicable law. KUS complies with applicable law governing non-discrimination in employment in every location in which KUS has offices. The KUS EEO policy applies to all areas of employment, including recruitment, hiring, training, promotion, compensation, benefits, discipline, termination and all other privileges, terms and conditions of employment. Disclaimer: The above information on this job description has been designed to indicate the general nature and level of work performed by employees within this classification and for this position. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.

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.

Experience in executing projects in Agile Framework Understanding of machine learning and deep learning frameworks Understanding of generative models (e.g., GANs, VAEs, Transformers) and natural language processing. Understanding of natural language processing (NLP). Understanding of data preprocessing and model fine-tuning. Awareness of ethical considerations and bias mitigation strategies. Proficiency in programming language Python / C# Strong analytical and problem-solving skills. Base Salary Range: $110,000 - $145,000 per annum TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-SV2 #LI-KUMARAN

It takes a Blizzard to make a Blizzard game, and that dedication doesn't end once the game launches. We support our worlds for years, ensuring every player-on every platform-has an epic experience. Global Insights partners closely with our game teams, marketing, user acquisition, finance, and internal service groups to deliver the analytics, models, and strategic insights that help bring those experiences to life. Within Global Insights, the Marketing Analytics team applies advanced analytics and data science to help our marketing and growth teams make smarter, data-driven decisions that deepen engagement and drive long-term business impact. We are seeking a Senior Data Scientist with deep experience in mobile marketing analytics to join our team. In this role, you will build predictive revenue and LTV models, develop probabilistic attribution, marketing mix models, and create systems that allow us to understand-and optimize-the true impact of our mobile marketing investments. The ideal candidate has a passion for using data to shape mobile player acquisition and retention strategies, thrives in highly collaborative environments, and can translate complex analytical concepts into clear, actionable insights for partners across Blizzard. Responsibilities * Build and maintain automated and dynamic predictive LTV models for mobile apps across multiple geographies, channels, campaigns, and platforms. * Develop automated revenue and user growth forecasting systems that integrate with UA and finance workflows. * Own the statistical framework for cohort modeling, retention projections, ROAS forecasting, and lifetime value prediction. * Lead measurement strategy in a privacy-centric ecosystem, including: * SKAdNetwork (SKAN) configuration and model-based postback interpretation * Probabilistic attribution and MMM * Incrementality testing and causal inference * Funnel and cohort analysis across a complex landscape of iOS/Android/PC and Console * Build data pipelines and automated reporting that harmonize deterministic and probabilistic signals. * Collaborate with marketing, finance, and business teams to translate insights into actionable strategies by providing: * Paid media performance insights * Budget planning and scenario modeling, both one off and automated * Creative testing analytics * Channel-level optimization recommendations * Build and maintain data pipelines and dashboards to monitor marketing KPIs and model outputs. * Present findings and recommendations to stakeholders in a clear and compelling way. * Stay informed on emerging trends and best practices in marketing analytics and data science. Requirements * 8+ years of experience in data science, analytics, or a related field, with deep expertise in mobile marketing, predictive revenue modeling, or mobile UA analytics. * Advanced degree (Master's or PhD) in Statistics, Applied Mathematics, Economics, Computer Science, or another quantitative discipline. * Expert knowledge of: * Cohort-based modeling and LTV prediction * Marketing measurement frameworks (SKAN, ATT, MMM, incrementality) * Paid media platforms: Meta, Google, TikTok, DSPs, SANs * Probabilistic and deterministic attribution approaches, last-click attribution and alternatives * Experience deploying models and working with engineering teams to automate workflows. * Strong programming experience in Python (or R) and proficiency in SQL. * Hands-on experience with ML frameworks (TensorFlow, PyTorch, scikit-learn) and advanced statistical modeling techniques. * Hands-on experience with modern data and analytics tools, including BigQuery/Snowflake, Airflow/dbt, Tableau/Looker, and Python-based ML frameworks (scikit-learn, TensorFlow, PyTorch). * Expertise in data visualization and storytelling using Tableau, Power BI, Looker, or similar tools. * Demonstrated ability to solve complex problems independently and lead cross-functional initiatives. Preferred Qualifications * Hands-on experience with: o MMPs (AppsFlyer, Adjust, Singular) o SKAN 4 or 5 readiness and schema design o Mobile data pipelines (event ingestion, postback processing) * Knowledge of cloud platforms (AWS, GCP, Azure) and modern data engineering tools. * Strong business acumen and the ability to influence senior leaders through compelling, data-driven insights. * A passion for Blizzard games and for helping shape unforgettable mobile experiences through data craftsmanship. Your Platform Best known for iconic video game universes including Warcraft, Overwatch, Diablo, and StarCraft, Blizzard Entertainment, Inc. (****************** a division of Activision Blizzard, which was acquired by Microsoft (NASDAQ: MSFT), is a premier developer and publisher of entertainment experiences. Blizzard Entertainment has created some of the industry's most critically acclaimed and genre-defining games over the last 30 years, with a track record that includes multiple Game of the Year awards. Blizzard Entertainment engages tens of millions of players around the world with titles available on PC via Battle.net, Xbox, PlayStation, Nintendo Switch, iOS, and Android. Our World Activision Blizzard, Inc., is one of the world's largest and most successful interactive entertainment companies and is at the intersection of media, technology and entertainment. We are home to some of the most beloved entertainment franchises including Call of Duty, World of Warcraft, Overwatch, Diablo, Candy Crush and Bubble Witch. Our combined entertainment network delights hundreds of millions of monthly active users in 196 countries, making us the largest gaming network on the planet! Our ability to build immersive and innovative worlds is only enhanced by diverse teams working in an inclusive environment. We aspire to have a culture where everyone can thrive in order to connect and engage the world through epic entertainment. We provide a suite of benefits that promote physical, emotional and financial well-being for 'Every World' - we've got our employees covered! The videogame industry and therefore our business is fast-paced and will continue to evolve. As such, the duties and responsibilities of this role may be changed as directed by the Company at any time to promote and support our business and relationships with industry partners. We love hearing from anyone who is enthusiastic about changing the games industry. Not sure you meet all qualifications? Let us decide! Research shows that women and members of other under-represented groups tend to not apply to jobs when they think they may not meet every qualification, when, in fact, they often do! We are committed to creating a diverse and inclusive environment and strongly encourage you to apply. We are committed to working with and providing reasonable assistance to individuals with physical and mental disabilities. If you are a disabled individual requiring an accommodation to apply for an open position, please email your request to accommodationrequests@activisionblizzard.com. General employment questions cannot be accepted or processed here. Thank you for your interest. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status, among other characteristics. Rewards We provide a suite of benefits that promote physical, emotional and financial well-being for 'Every World' - we've got our employees covered! Subject to eligibility requirements, the Company offers comprehensive benefits including: * Medical, dental, vision, health savings account or health reimbursement account, healthcare spending accounts, dependent care spending accounts, life and AD&D insurance, disability insurance; * 401(k) with Company match, tuition reimbursement, charitable donation matching; * Paid holidays and vacation, paid sick time, floating holidays, compassion and bereavement leaves, parental leave; * Mental health & wellbeing programs, fitness programs, free and discounted games, and a variety of other voluntary benefit programs like supplemental life & disability, legal service, ID protection, rental insurance, and others; * If the Company requires that you move geographic locations for the job, then you may also be eligible for relocation assistance. Eligibility to participate in these benefits may vary for part time and temporary full-time employees and interns with the Company. You can learn more by visiting *************************************** In the U.S., the standard base pay range for this role is $92,920.00 - $171,814.00 Annual. These values reflect the expected base pay range of new hires across all U.S. locations. Ultimately, your specific range and offer will be based on several factors, including relevant experience, performance, and work location. Your Talent Professional can share this role's range details for your local geography during the hiring process. In addition to a competitive base pay, employees in this role may be eligible for incentive compensation. Incentive compensation is not guaranteed. While we strive to provide competitive offers to successful candidates, new hire compensation is negotiable.

Are you passionate about changing the world through machine learning and location intelligence? Join Esri as we leverage the IoT revolution and explosive growth of location data to help organizations extract advanced intelligence, predict significant events, and automate work processes using AI and machine learning. We're seeking a Sr. Data Scientist who combines technical expertise with strong interpersonal skills to collaborate directly with customers, understand their unique challenges, and develop data-driven solutions that integrate seamlessly with GIS workflows. While prior GIS experience is not required, you'll work closely with GIS experts and gain valuable knowledge in spatial data analytics. We serve customers across diverse domains including natural resources, defense, commercial industries, public transportation, utilities, and governmental entities in over 160+ countries. Responsibilities Consult closely with customers to understand their needs and serve as Esri's sole representative Scope projects, communicate uncertainties and risks, and accurately estimate delivery times Develop and pitch data science solutions that map business problems to advanced analytics approaches Serve as a subject matter expert for internal stakeholders Write production-level code for data analysis and process automation Build high-quality analytics systems employing techniques from data mining, statistics, and machine learning Perform feature engineering, model selection, and hyperparameter optimization to achieve high predictive accuracy Deploy models to production environments and assist customers in troubleshooting implementations Implement best practices for geospatial machine learning and develop reusable technical components for demonstrations and rapid prototyping Design and implement generative AI solutions and agentic systems to enhance customer workflows and automate complex geospatial tasks Stay updated with the latest trends in machine learning, deep learning, and AI, and incorporate them into project delivery Quickly become proficient in unfamiliar fields to address diverse customer needs Requirements 5+ years of practical machine learning experience or relevant academic/lab work Hands-on relevant experience in generative AI, large language models, and agentic systems Exemplify tenacity, determination, creativity, curiosity, and independence in problem-solving Ability to learn new concepts quickly and implement new technologies rapidly Flexibility to adapt to diverse customer solutions in a rapidly evolving technical landscape Experience working with non-technical stakeholders in multiple domains Proficiency in building and optimizing supervised and unsupervised machine learning models, including deep learning techniques Fundamental understanding of mathematical and machine learning concepts Applied statistics experience Expertise in developing machine learning solutions, preferably in Python Proficiency in data extraction, transformation, and loading between various systems Ability to produce compelling data visualizations to convey results Strong communication skills, including the ability to explain technical concepts to non-technical audiences Capability to manage multiple projects simultaneously Bachelor's in mathematics, statistics, computer science, physics, or a related field Recommended Qualifications Master's or PhD in mathematics, statistics, computer science, physics, or a related field Experience with spatial and GIS concepts, preferably using Esri software Familiarity with Git, ML libraries such as PyTorch and TensorFlow, and transformers-based large language models (LLMs) Experience handling large-scale batch/streaming data with big data tools like Apache Spark Experience with cloud services (AWS, Azure, and more) #LI-MN1 #LI-HYBRID