Data scientist jobs in Mount Olive, NJ

Data Scientist- Parsippany, NJ (Hybrid) Data Scientist Summary: Provide analytics, telemetry, ML/GenAI-driven insights to measure SDLC health, prioritize improvements, validate pilot outcomes, and implement AI-driven development lifecycle capabilities. • Responsibilities: o Define metrics and instrumentation for SDLC/CI pipelines, incidents, and delivery KPIs. o Build dashboards, anomaly detection, and data models; implement GenAI solutions (e.g., code suggestion, PR summarization, automated test generation) to improve developer workflows. o Design experiments and validate AI-driven features during the pilot. o Collaborate with engineering and SRE to operationalize models and ensure observability and data governance. • Required skills: o Applied data science/ML in production; hands-on experience with GenAI/LLMs applied to developer workflows or DevOps automation. o Strong Python (pandas, scikit-learn), ML frameworks, SQL, and data visualization (Tableau/Power BI). o Experience with observability/telemetry data (logs/metrics/traces) and A/B experiment design. • Preferred: o Experience with model deployment, MLOps, prompt engineering, and cloud data platforms (AWS/GCP/Azure).

This is a direct hire full-time position, with a hybrid on-site 2 days a week format. YOU MUST BE A US CITIZEN OR GREEN CARD, NO OTHER STATUS TO WORK IN THE US WILL BE PERMITTED YOU MUST LIVE LOCAL TO THE AREA AND BE ABLE TO DRIVE ONSITE A MIN TWO DAYS A WEEK THE TECH STACK WILL BE: 7 years demonstrated server-side development proficiency 5 years demonstrated server-side development proficiency Programming Languages: Python (NumPy, Pandas, Oracle PL/SQL). Other non-interpreted languages like Java, C++, Rust, etc. are a plus. Must be proficient in the intermediate-advanced level of the language (concurrency, memory management, etc.) Design patterns: typical GOF patterns (Factory, Facade, Singleton, etc.) Data structures: maps, lists, arrays, etc SCM: solid Git proficiency, MS Azure DevOps (CI/CD)

Client: manufacturing company Type: direct hire Our client is a publicly traded, globally recognized technology and manufacturing organization that relies on data-driven insights to support operational excellence, strategic decision-making, and digital transformation. They are seeking a Power BI Developer to design, develop, and maintain enterprise reporting solutions, data pipelines, and data warehousing assets. This role works closely with internal stakeholders across departments to ensure reporting accuracy, data availability, and the long-term success of the company's business intelligence initiatives. The position also plays a key role in shaping BI strategy and fostering collaboration across cross-functional teams. This role is on-site five days per week in Somerset, NJ. Key Responsibilities Power BI Reporting & Administration Lead the design, development, and deployment of Power BI and SSRS reports, dashboards, and analytics assets Collaborate with business stakeholders to gather requirements and translate needs into scalable technical solutions Develop and maintain data models to ensure accuracy, consistency, and reliability Serve as the Power BI tenant administrator, partnering with security teams to maintain data protection and regulatory compliance Optimize Power BI solutions for performance, scalability, and ease of use ETL & Data Warehousing Design and maintain data warehouse structures, including schema and database layouts Develop and support ETL processes to ensure timely and accurate data ingestion Integrate data from multiple systems while ensuring quality, consistency, and completeness Work closely with database administrators to optimize data warehouse performance Troubleshoot data pipelines, ETL jobs, and warehouse-related issues as needed Training & Documentation Create and maintain technical documentation, including specifications, mappings, models, and architectural designs Document data warehouse processes for reference, troubleshooting, and ongoing maintenance Manage data definitions, lineage documentation, and data cataloging for all enterprise data models Project Management Oversee Power BI and reporting projects, offering technical guidance to the Business Intelligence team Collaborate with key business stakeholders to ensure departmental reporting needs are met Record meeting notes in Confluence and document project updates in Jira Data Governance Implement and enforce data governance policies to ensure data quality, compliance, and security Monitor report usage metrics and follow up with end users as needed to optimize adoption and effectiveness Routine IT Functions Resolve Help Desk tickets related to reporting, dashboards, and BI tools Support general software and hardware installations when needed Other Responsibilities Manage email and phone communication professionally and promptly Respond to inquiries to resolve issues, provide information, or direct to appropriate personnel Perform additional assigned duties as needed Qualifications Required Minimum of 3 years of relevant experience Bachelor's degree in Computer Science, Data Analytics, Machine Learning, or equivalent experience Experience with cloud-based BI environments (Azure, AWS, etc.) Strong understanding of data modeling, data visualization, and ETL tools (e.g., SSIS, Azure Synapse, Snowflake, Informatica) Proficiency in SQL for data extraction, manipulation, and transformation Strong knowledge of DAX Familiarity with data warehouse technologies (e.g., Azure Blob Storage, Redshift, Snowflake) Experience with Power Pivot, SSRS, Azure Synapse, or similar reporting tools Strong analytical, problem-solving, and documentation skills Excellent written and verbal communication abilities High attention to detail and strong self-review practices Effective time management and organizational skills; ability to prioritize workload Professional, adaptable, team-oriented, and able to thrive in a dynamic environment

12-15 years of overall experience, combining solution architecture and hands-on delivery. Strong client-facing skills, with the ability to lead technical conversations, manage expectations, and handle escalations calmly. Hands-on technologist capable of designing, reviewing, and, when required, building/debugging components, not limited to high-level guidance. Proficient in Data Solutions, with practical, hands-on experience in Databricks including Lakehouse architecture, ETL pipelines, analytics, and AI workloads. Strong hands-on experience with PySpark and Python for large-scale data processing and transformation. Experience designing and implementing microservices-based architectures.

Senior Data Engineer (Snowflake & Python) 1-Year Contract | $60/hour + Benefit Options Hybrid: On-site a few days per month (local candidates only) Work Authorization Requirement You must be authorized to work for any employer as a W2 employee. This is required for this role. This position is W-2 only - no C2C, no third-party submissions, and no sponsorship will be considered. Overview We are seeking a Senior Data Engineer to support enterprise-scale data initiatives for a highly collaborative engineering organization. This is a new, long-term contract opportunity for a hands-on data professional who thrives in fast-paced environments and enjoys building high-quality, scalable data solutions on Snowflake. Candidates must be based in or around New Jersey, able to work on-site at least 3 days per month, and meet the W2 employment requirement. What You'll Do Design, develop, and support enterprise-level data solutions with a strong focus on Snowflake Participate across the full software development lifecycle - planning, requirements, development, testing, and QA Partner closely with engineering and data teams to identify and implement optimal technical solutions Build and maintain high-performance, scalable data pipelines and data warehouse architectures Ensure platform performance, reliability, and uptime, maintaining strong coding and design standards Troubleshoot production issues, identify root causes, implement fixes, and document preventive solutions Manage deliverables and priorities effectively in a fast-moving environment Contribute to data governance practices including metadata management and data lineage Support analytics and reporting use cases leveraging advanced SQL and analytical functions Required Skills & Experience 8+ years of experience designing and developing data solutions in an enterprise environment 5+ years of hands-on Snowflake experience Strong hands-on development skills with SQL and Python Proven experience designing and developing data warehouses in Snowflake Ability to diagnose, optimize, and tune SQL queries Experience with Azure data frameworks (e.g., Azure Data Factory) Strong experience with orchestration tools such as Airflow, Informatica, Automic, or similar Solid understanding of metadata management and data lineage Hands-on experience with SQL analytical functions Working knowledge of Shell scripting and Java scripting Experience using Git, Confluence, and Jira Strong problem-solving and troubleshooting skills Collaborative mindset with excellent communication skills Nice to Have Experience supporting Pharma industry data Exposure to Omni-channel data environments Why This Opportunity $60/hour W2 on a long-term 1-year contract Benefit options available Hybrid structure with limited on-site requirement High-impact role supporting enterprise data initiatives Clear expectations: W-2 only, no third-party submissions, no Corp-to-Corp This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.Apexon brings together distinct core competencies - in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences - to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients' toughest technology problems, and a commitment to continuous improvement. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents. Job Description Experienced Data management specialist responsible for developing, overseeing, organizing, storing, and analyzing data and data systems Participate in all aspects of the software development lifecycle for Snowflake solutions, including planning, requirements, development, testing, and quality assurance Work in tandem with our engineering team to identify and implement the most optimal solutions Ensure platform performance, uptime, and scale, maintaining high standards for code quality and thoughtful design Troubleshoot incidents, identify root causes, fix and document problems, and implement preventive measures Able to manage deliverables in fast paced environments Areas of Expertise At least 10 years of experience designing and development of data solutions in enterprise environment At least 5+ years' experience on Snowflake Platform Strong hands-on SQL and Python development Experience with designing and developing data warehouses in Snowflake A minimum of three years' experience in developing production-ready data ingestion and processing pipelines using Spark, Scala Strong hands-on experience with Orchestration Tools e.g. Airflow, Informatica, Automic Good understanding on Metadata and data lineage Hands-on knowledge on SQL Analytical functions Strong knowledge and hands-on experience in Shell scripting, Java Scripting Able to demonstrate experience with software engineering practices including CI/CD, Automated testing and Performance Engineering. Good understanding and exposure to Git, Confluence and Jira Good problem solving and troubleshooting skills. Team player, collaborative approach and excellent communication skills Our Commitment to Diversity & Inclusion: Did you know that Apexon has been Certified™ by Great Place To Work , the global authority on workplace culture, in each of the three regions in which it operates: USA (for the fourth time in 2023), India (seven consecutive certifications as of 2023), and the UK.Apexon is committed to being an equal opportunity employer and promoting diversity in the workplace. We are taking affirmative action to ensure equal employment opportunity for all qualified individuals. Apexon strictly prohibits discrimination and harassment of any kind and provides equal employment opportunities to employees and applicants without regard to gender, race, color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. You can read about our Job Applicant Privacy policy here Job Applicant Privacy Policy (apexon.com)

Distinguished Data Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions. Horzianal, Bank data organization to accelerate data modernization across the bank by defining, building, and operating on a unified, resilient, and compliant Enterprise Data Platforms. Enable bank domains to produce and leverage modern data for a modern bank. The position focused on setting the technical vision, prototyping and driving the most complex data domain data architecture for the banking domains. In addition, partner closely with enterprise teams to develop highly resilient data platforms. Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Responsibilities: Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: Bachelor's Degree At least 7 years of experience in data engineering At least 3 years of experience in data architecture At least 2 years of experience building applications in AWS Preferred Qualifications: Masters' Degree 9+ years of experience in data engineering 3+ years of data modeling experience 2+ years of experience with ontology standards for defining a domain 2+ years of experience using Python, SQL or Scala 1+ year of experience deploying machine learning models 3+ years of experience implementing big data processing solutions on AWS Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $263,900 - $301,200 for Distinguished Data Engineer Philadelphia, PA: $239,900 - $273,800 for Distinguished Data Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Data Engineer Wilmington, DE: $239,900 - $273,800 for Distinguished Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description We are looking for a talented Data Scientist skilled in Python and SQL. In this role, you will analyze large datasets, develop predictive models, and derive actionable insights that will guide business decisions. Requirements Proven experience as a Data Scientist or a similar role, with a strong focus on data analysis and modeling. Proficiency in programming languages, especially Python, and strong SQL skills for database management and querying. Experience with statistical analysis techniques and data visualization tools (e.g., Tableau, Matplotlib, Seaborn). Familiarity with machine learning frameworks and libraries (e.g., Scikit-learn, TensorFlow). Strong analytical skills and the ability to work with large datasets to extract meaningful information. Experience in data preprocessing, feature engineering, and model evaluation. Excellent problem-solving abilities and strong communication skills to present findings effectively. A degree in Computer Science, Mathematics, Statistics, or a related field is preferred. Benefits About Us We specialize in Digital, ERP, and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic, and flexible solutions will help you source the IT Expertise you need. If you are looking for new opportunities, send your profile at ***************************. Also follow our LinkedIn page for new job opportunities and more. Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We encourage applications from a diverse array of backgrounds, including individuals of various ethnicities, cultures, and linguistic backgrounds, as well as those with disabilities.

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00

Implify, Inc is a Global IT Solutions and services firm. Since it's inception, Implify, Inc has been providing best-quality and cost-effective IT solutions to fortune 1000 companies, mid-range companies and upcoming companies via its onsite, Offshore and in-house service models. IMPLIFY is an IT consulting services and software development firm dedicated to business success through long-term relationships with our clients and staff. IMPLIFY has built a dynamic, profitable, service-oriented enterprise, and is positioned to successfully respond to trends and changes in the information technology industry. Job Description Data Scientist Location: Newark NJ Interview process: Phone and In Person (face to face) Job Descripction As a Data Scientist, you solve complex challenges and identify new opportunities using a combination of analytical expertise, business acumen, strategic thinking, and project and relationship management skills. This is an exciting opportunity to be a part of a new strategic initiative & this position is located in Newark, N.J., a quick, easy 15-minute train ride from New York Penn Station. RESPONSIBILITIES • Integrate and mine large data sets, connecting data from disparate sources to identify insights and patterns using predictive and prescriptive analytics, and machine learning techniques • Conduct intermediate and advanced statistical analysis, such as linear regression, ANOVA, time-series analysis, classification models, neural networks, decision trees, as well as analysis of unstructured data (e.g., social media listening, digital footprints, speech analytics) • Prepare and present written and verbal reports, findings, and presentations to key stakeholders, distilling complex statistical information into easy-to-understand business language • Apply knowledge of U.S. businesses and corporate groups and relevant industry knowledge to analysis and insights • Manage project budgets and timelines, ensuring times and on-budget completion QUALIFICATIONS • Experience analyzing large data sets using statistical software, such as SAS, R, Python, and SPSS, to discover new business insights • Excel and PowerPoint a must. SQL Programming and experience of at least one DBMS such as IBM DB2, Oracle, SQL Server or Sybase are required. Java strongly desired • Prior experience with building models, analyzing unstructured data, and/or machine learning • Relevant academic experience and work experience in Statistics, with exposure to data structures and data visualization • Master's degree in Mathematics, Statistics, Engineering, Computer Science, or a quantitative discipline plus a minimum of 2-3 years of work experience, or bachelor's degree plus 5 years work experience • Well-developed written and oral communication skills, with ability to present and explain data to business manager • Strong project management skills / experience managing projects, budgets, and schedules to successful completion • Some prior exposure to financial services or insurance industry desired Additional Information All your information will be kept confidential according to EEO guidelines.

SonSoft Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. SonSoft Inc is growing at a steady pace specializing in the fields of Software Development, Software Consultancy, and Information Technology Enabled Services. Job Description As a Data Scientist, you solve complex challenges and identify new opportunities using a combination of analytical expertise, business acumen, strategic thinking, and project and relationship management skills. This is an exciting opportunity to be a part of a new strategic initiative & this position is located in Newark, N.J., a quick, easy 15-minute train ride from New York Penn Station. Occasional domestic travel may be required. Responsibilities:- Integrate and mine large data sets, connecting data from disparate sources to identify insights and patterns using predictive and prescriptive analytics, and machine learning techniques Conduct intermediate and advanced statistical analysis, such as linear regression, ANOVA, time-series analysis, classification models, neural networks, decision trees, as well as analysis of unstructured data (e.g., social media listening, digital footprints, speech analytics) Prepare and present written and verbal reports, findings, and presentations to key stakeholders, distilling complex statistical information into easy-to-understand business language Apply knowledge of U.S. businesses and corporate groups and relevant industry knowledge to analysis and insights Manage project budgets and timelines, ensuring times and on-budget completion. Qualifications Experience analyzing large data sets using statistical software, such as SAS, R, Python, and SPSS, to discover new business insights Excel and PowerPoint a must. SQL Programming and experience of at least one DBMS such as IBM DB2, Oracle, SQL Server or Sybase are required. Java strongly desired Prior experience with building models, analyzing unstructured data, and/or machine learning Relevant academic experience and work experience in Statistics, with exposure to data structures and data visualization Master's degree in Mathematics, Statistics, Engineering, Computer Science, or a quantitative discipline plus a minimum of 2-3 years of work experience, or bachelor's degree plus 5 years work experience Well-developed written and oral communication skills, with ability to present and explain data to business manager Strong project management skills / experience managing projects, budgets, and schedules to successful completion Some prior exposure to financial services or insurance industry desired Additional Information Connect with me at ******************************************* ( For Direct Clients Requirements ) ** U.S. Citizens and those who are authorized to work independently in the United States are encouraged to apply. We are unable to sponsor at this time. Note:- This is a Full-Time & Permanent job opportunity for you. Only US Citizen, Green Card Holder, GC-EAD, H4-EAD & L2-EAD can apply. No OPT-EAD, H1B & TN candidates, please. Please mention your Visa Status in your email or resume. ** All your information will be kept confidential according to EEO guidelines.

Mirage is the leading AI short-form video company. We're building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage's products to reach their full creative and commercial potential. We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you'll have an opportunity to have an outsized impact on our products and our company's culture. Our Products Captions Mirage Studio Our Technology AI Research @ Mirage Mirage Model Announcement Seeing Voices (white-paper) Press Coverage TechCrunch Lenny's Podcast Forbes AI 50 Fast Company Our Investors We're very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us About the Role: As a member of our Data Science staff, you'll own end-to-end measurement by defining north-star metrics, architecting rigorous experiments, and converting insights into roadmap-shaping decisions. You'll partner with Product, Design, and Engineering to elevate instrumentation and data quality and deliver quantified recommendations that improve activation, engagement, retention, and revenue. Key Responsibilities: * Lead analysis and exploration to uncover trends in product and user behavior and prioritize the highest leverage opportunities * Design and evaluate rigorous A/B tests and set success criteria and power and guardrails and deliver clear post experiment readouts * Collaborate with cross functional leaders to define core metrics and establish data driven goals for product experimentation * Develop and maintain analytical models and reproducible pipelines that support full funnel analytics * Apply statistical techniques to identify patterns and opportunities in large datasets and quantify expected impact and risk * Create executive ready visualizations and dashboards that drive alignment and action among stakeholders * Embed with designers and engineers to guide instrumentation and ensure data informed decisions throughout the product lifecycle * Provide recommendations to improve user experience and conversion and overall product performance and track realized impact * Stay current on industry trends and emerging technologies in analytics and introduce pragmatic improvements to tools and methods Requirements: * 5+ years as a data scientist or in a similar role with a focus on product analytics * High proficiency in SQL and either Python or R for data manipulation, analysis, and modeling * Expertise in statistical analysis, hypothesis testing, and experimental design for A/B testing and product experimentation * In-depth knowledge of data visualization tools and techniques to effectively communicate insights and storytelling * Strong analytical thinking and problem-solving skills, with the ability to translate complex data into actionable recommendations * Strong written and verbal communication skills and the ability to partner with cross-functional teams to build a great business Bonus Points: * Master's or PhD in a quantitative field (Statistics, Mathematics, Computer Science, or related) * Full-funnel analytics experience, including data collection, cleaning, transformation, analysis, and performance measurement * Familiarity with modern data warehousing and large-scale data processing; comfortable working with very large datasets and distributed computing frameworks Benefits: * Comprehensive medical, dental, and vision plans * 401K with employer match * Commuter Benefits * Catered lunch multiple days per week * Dinner stipend every night if you're working late and want a bite! * Grubhub subscription * Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) * Multiple team offsites per year with team events every month * Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only.

Experience in R, Python, creating data models using advanced predictive modeling algorithms (e.g. Boosted Trees, k-nearest neighbor, SVM, Random forest, CART, etc.) and working with unstructured data (NLP/ Hadoop/ NoSQL database). Experience in R/SAS for data cleaning & manipulation Experience in Claims data processing. Experience in Statistical Modeling Qualifications Bachelor's degree in Computer Science or related field Position requires 3 to 5+ years in data anlaystical, Financial Services industry, preferably in Retirement, Investments, or Wealth Management. Additional Information Job Status: Permanent Share the Profiles to ***************************** Contact: ************ Keep the subject line with Job Title and Location

Bachelors or Master's degree with specialization in Computer Science, Information Systems, Mathematics, Statistics or other quantitative disciplines Excellent ability to query large datasets using SQL queries and working with databases Excellent in programming languages such as Java, Python, etc. Experience in data extraction and processing, using MapReduce, Pig, Hive, etc. Proficient programming skills using SAS and/or R Knowledge of building and applying machine learning or predictive modeling Strong problem solving skills Exceptional ability to communicate and present findings clearly to both technical and non-technical audiences Excellent interpersonal and collaboration skills Additional Information Thanks & Regards, Praveen K. Paila ************

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at ******************* Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: New Brunswick, New Jersey, United States of America Job Description: We are searching for the best talent for Senior Data Scientist, Accounting and ERP to be in New Brunswick, NJ. About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at *******************/innovative-medicine Purpose: As a Senior Data Scientist in Global Finance Data Science Team, you will be responsible for delivering data science production processes to a high standard, contributing to products that are consumed and scrutinized by senior leadership. You will work in a global team of Data Scientists, Data Engineers and Machine Learning Engineers to advance data science/AI roadmap for J&J's Global Finance function. You will help deliver value-added insights and analytics to our finance and business leaders, reduce manual workload through automation, and enhance user-experience. Project focus areas will include the application of Machine Learning and Generative AI to technical accounting use cases, and using data from SAP Hana, Datahub and Datasphere. This includes aligning finance and business needs, input data validations from different source systems, data reconciliation/validations and work on other ongoing enhancements/ad-hoc requests from leadership etc. You will aid data science projects across their lifecycle: Design/ proof-of-concept (PoC), development, data pipelines and engineering, deployment, adoption by end-users and ongoing enhancements. The capabilities developed will include predictive, Gen AI, descriptive analytics, data visualization and decision support. You will need to ensure that PoC's are put into production-grade with correct amount of automation, data validations and systems/process integration. This role will involve understanding the needs of business stakeholders and advocating the merits of data-driven analytics to provide viable solutions. You will be responsible for: Develop data science solutions based on the needs of business/ finance stakeholders. Build and adjust data engineering pipelines for large datasets from finance/ERP systems and automate data science processes. Understanding the nuances of accounting and finance data so this can be appropriately applied in Machine Learning and AI models. Iteratively improve the process and models to solve problems, testing and documenting changes, aligning changes within the team. Develop and deploy data science and AI solutions, including data processing, algorithm development, data visualization, and communication of insights to stakeholders. Research and implement statistical and machine learning models, monitor model performance, and continuously improve existing models. Collaborate with finance, commercial leaders, technology teams, and external partners to deliver end-to- end solutions, ensuring compliance and risk management. Experienced using accounting data within SAP data tables, understanding the contents of tables and how they are used within the accounting process. Knowledge of Python programming and Data Science Cloud platforms like AWS, Databricks, and Domino. Able to work independently and under time pressure to deliver a process, investigating and solving data issues in an explainable way. Skilled in data visualization and dashboarding using Tableau or PowerBI. Knowledgeable in advanced statistical techniques and concepts, such as regression, properties of distributions, and statistical tests. Experience of end-to-end production deployment, from concept to production-grade models, and experienced with Gen AI technologies like AWS Bedrock, Azure OpenAI service, and Joule. Familiar with automated workflow tools like Alteryx and workflow orchestration tools like Airflow, as well as standards and best practices for technical documentation using tools like JIRA and Confluence. Strong data analytics skills, attention to detail with business/finance logics, and experience working across multiple levels of stakeholders to create context around key business drivers. Qualifications / Requirements: Minimum of 5 years of Data Science/ AI experience in an industry setting, preferably in a Finance or Healthcare setting. Alternatively: 5+ years accounting experience with intensive use advanced analytics and data handling techniques. Minimum of Bachelors degree required, within Science, Economics, Business Analytics, Data Science, Finance, Computer Science, Engineering or any other quantitative or STEM discipline. Master's degree in a relevant field preferred. Other: Located in New Brunswick, NJ with up to 5% travel. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via *******************/contact-us/careers . Internal employees contact AskGS to be directed to your accommodation resource. #JNJDataScience Required Skills: Preferred Skills: The anticipated base pay range for this position is : The anticipated base pay range for this position is $147,000 to $169,050 USD Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation -120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year Holiday pay, including Floating Holidays -13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave - 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave - 10 days Volunteer Leave - 4 days Military Spouse Time-Off - 80 hours Additional information can be found through the link below. *********************************************

· Mine and translate data into meaningful insights and recommendations for the operational and strategic business units · Answer key business questions by using analytical & statistical techniques on data · Drive the collection of new data sources and the refinement of existing data sources · Analyze, interpret & communicate the results of experiments to the business units · Evaluate and modify statistical methodologies, techniques and processes · Work with cross-functional teams on the day-to-day execution of data & analytics projects and initiatives · Produce dynamic data driven analytic solutions to support the strategic goals of the company · Develop process improvements, analytical frameworks, share expertise with others, mentor and continually strive to improve overall contributions to the department Qualifications · A flexible analytic approach that allows for results at varying levels of precision · Strong background in statistical concepts including regression analysis, factoring, clustering, decision trees, A/B testing and experimental design · Experience with various data types (e.g. Relational, unstructured, Hierarchical, etc.) · The ability to communicate complex quantitative analysis in a clear, precise and actionable manner · Possess excellent verbal and written communication skills, attention to details, and the ability to multi-task · Work independently with minimal supervision · Be detail-oriented and comfortable with a fast-paced, structured, retail environment Additional Information Education/Certification: · A minimum Master's degree in Statistics, Applied Mathematics, Operations Research, Computer Science, Engineering, Economics or a related field Required Knowledge: · Expert knowledge of SAS and SQL · Expert knowledge of Advance Machine Learning (Deep learning) and Artificial Intelligence (AI) techniques and applications Experience Required: · 5 - 10 years professional experience in solving analytical problems using quantitative approaches All your information will be kept confidential according to EEO guidelines.

Title: Reserving Actuary Reporting to: VP, Reserving About Hippo: Hippo exists to protect the joy of homeownership. We believe that insurance should protect the things you treasure through an intuitive, modern experience. We provide tailored insurance coverage and preventative maintenance plans that keep you protected throughout your homeowner journey. We'll also help you find coverage for everything life brings-from auto to flood-reimagining how you care for your home. About The Role: We are seeking a detail-oriented and analytical actuary to join our reserving team for program business. In this role, you will support the development and maintenance of loss reserve models, ensuring the company's financial stability and compliance with regulatory standards. You will work closely with senior actuaries, finance, and claims teams to analyze trends, evaluate reserve adequacy, and improve actuarial methodologies. What You'll Do: * Collaborate to drive forward the analysis of ultimate losses and loss adjustment expenses across program partners * Coordinate, maintain, and communicate metrics from the loss reserving process to support related disciplines such as Pricing, Underwriting, Reinsurance, and Finance * Support the annual, quarterly, and monthly financial reporting processes across GAAP and STAT entities * Collaborate proactively and independently across functions to drive communication and education around loss ratio performance, emerging issues, and industry results * Perform forensic data analysis to identify any issues with claims data quality * Ownership of reconciling data, setting up data routines, structuring custom reserve reviews, and ensuring the organization has effective tools to evaluate reserves. Drive clear documentation and maintain strong controls for all related processes * Proactively identify opportunities for process and efficiency improvement in department functions with follow-through to implement data driven and automated solutions * Opportunity to innovate reserving models: model building, refitting, or calibration * Support the review of new and existing insurance programs Must Haves: * Bachelor's degree in Actuarial Science, Mathematics, Statistics, Economics, or a related field * 5+ years in actuarial role including time in property casualty loss reserving * Solid foundation in basic reserving methodologies * Actuarial credentials: ACAS required * Strong research, statistical, analytical, and mathematical skills with the ability to conduct analysis on limited and/or unstructured data * Demonstrated experience presenting to senior leadership and communicating with a large audience across different disciplines * Professional proficiency in SQL, Excel, and Python is required * Demonstrated project management and ability to deliver under tight timelines * A good understanding of different accounting standards (e.g., US GAAP, US STAT) Nice to Have: * Prior program experience * Experience across many lines of business including Casualty Benefits and Perks Hippo treats its team members with the same level of dedication and care as we do our customers, which is why we're fortunate to provide all of our Hippos with: * Healthy Hippos Benefits - Multiple medical plan options, 100% covered dental and vision for you and your family, and a wellness program that rewards healthy habits. We also offer a 401(k)-retirement plan, short & long-term disability, employer-paid life insurance, Flexible Spending Accounts (FSA) for health and dependent care, and an Employee Assistance Program (EAP) * Equity - This position is eligible for equity compensation * Training and Career Growth - Training and internal career growth opportunities * Flexible Time Off - You know when and how you should recharge * Little Hippos Program - We offer 12 weeks of parental leave for primary and secondary caregivers * Hippo Habitat - Snacks and drinks available for onsite employees The Bedminster, NJ and San Francisco Bay Area base pay range for this role is $125,000 - $175,000. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, location, business needs and market demands. Hippo is an equal opportunity employer, and we are committed to building a team culture that celebrates diversity and inclusion. Hippo's applicants are considered solely based on their qualifications, without regard to an applicant's disability or need for accommodation. Any Hippo applicant who requires reasonable accommodations during the application process should contact the Hippo's People Team to make the need for an accommodation known.

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Summary: This job is responsible for coordinating, reviewing, and optimizing data analysis to create revenue generating opportunities, and overseeing the development of effective risk management strategies. Key responsibilities include working with lines of business to identify and diagnose problems, utilizing sophisticated analytics, and deploying advanced techniques to devise solutions, and clearly communicating recommendations based on findings. Job expectations include demonstrating leadership, influence, accountability, and a commitment to fostering responsible growth for the enterprise. Advanced Analytics Client Protection team is seeking a seasoned Senior Data Scientist to lead Model Portfolio Management efforts and drive strategic oversight across our fraud modeling ecosystem. This role is ideal for a candidate with expertise in model development, governance, and deep expertise stakeholder engagement, and who thrives in connecting the dots across a complex enterprise landscape. Responsibilities: Leading the Fraud Models Community of Practice, including ownership of routines, stakeholder engagement, and strategic alignment across fraud model owners and developers. Overseeing portfolio-level Fraud Model Health Monitoring, identifying cross-model performance trends, uncovering opportunities for consistency in methodology and governance, and informing strategic prioritization of model development and enhancement efforts. Driving model prioritization and strategic planning, including capacity planning and roadmap development for fraud model initiatives. Conducting Model Value Trend Analysis to assess business impact, identify optimization opportunities, and inform investment decisions. Managing the Gen AI model inventory for fraud use cases, including prioritization, governance, and serving as the face of the Client Protection for Gen AI efforts. Evaluating Proof of Concepts for emerging fraud detection techniques and technologies, ensuring alignment with strategic priorities and assessing feasibility, scalability, and value across the model portfolio. Supporting Bank policy for Artificial Intelligence models and ensuring risks associated with advanced techniques are identified and mitigated. Driving model performance analytics beyond policy requirements, including granular monitoring, early trend detection, root cause and gap analysis, etc. Serving as a subject matter expert across the model lifecycle, providing guidance and thought leadership. Mentoring junior data scientists and analysts, fostering a culture of continuous learning and innovation. Required Qualifications: 5+ years of experience in analytical role is required Exceptional stakeholder communication skills, with the ability to engage, influence, and align diverse audiences across business, technology, risk, and compliance functions. Strong executive presence, capable of representing the fraud modeling portfolio in senior forums, steering committees, and enterprise-wide initiatives. Proven experience in cross-functional leadership, driving collaboration across lines of business. Strategic thinking and planning capabilities, including capacity planning and roadmap development aligned to enterprise objectives. Ability to synthesize complex analytical insights into clear, actionable narratives for senior stakeholders and decision-makers. Strong organizational and project management skills, with the ability to manage multiple priorities and drive execution. Desired Qualifications: Bachelor's Degree in quantitative degree or equivalent work experience Advanced STEM (Science, Technology, Engineering, Math) degree (Masters or PhD) 7+ years of experience working as model developer, data scientist, model validator, preferable on fraud, credit, market, or other heavily quantitative areas. Deep understanding of model governance and lifecycle management, including validation, monitoring, documentation, and regulatory engagement. Proficient in Python, SQL or SAS Skills: Artificial Intelligence/Machine Learning Business Acumen Presentation Skills Project Management Technical Documentation Candidate Screening Data Visualization Policies, Procedures, and Guidelines Management Risk Management Written Communications Adaptability Career Path Design Consulting Performance Management Workforce Opportunity Management Shift: 1st shift (United States of America) Hours Per Week: 40 Pay Transparency details US - IL - Chicago - 110 N Wacker Dr - Bank Of America Tower Chicago (IL4110), US - MA - Boston - 100 Federal St - 100 Federal St Lp (MA5100) Pay and benefits information Pay range$185,000.00 - $230,000.00 annualized salary, offers to be determined based on experience, education and skill set.Discretionary incentive eligible This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.BenefitsThis role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.

Mirage is the leading AI short-form video company. We're building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage's products to reach their full creative and commercial potential. We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you'll have an opportunity to have an outsized impact on our products and our company's culture. Our Products Captions Mirage Studio Our Technology AI Research @ Mirage Mirage Model Announcement Seeing Voices (white-paper) Press Coverage TechCrunch Lenny's Podcast Forbes AI 50 Fast Company Our Investors We're very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us About the Role We're looking for a Data Scientist to help power our marketing strategy. In this role, you'll partner with Marketing, Product, and Finance to improve acquisition performance, refine attribution, and build the measurement foundations that guide our company's growth. As the first Data Scientist dedicated to marketing analytics, you will define core success metrics, evaluate funnel performance, and uncover insights that shape our go-to-market strategy. Key Responsibilities * Analyze acquisition, lifecycle, and overall marketing performance to surface trends, identify funnel gaps, and highlight opportunities to improve efficiency and customer value. * Build and maintain predictive models that support forecasting, customer understanding, targeting, and personalization. * Develop and improve marketing measurement frameworks to better understand channel impact, attribution, and drivers of growth. * Conduct deep analyses of customer behavior, segments, and retention patterns to inform marketing and product strategy. * Design, run, and evaluate experiments (e.g., A/B tests) to measure the impact of marketing initiatives and guide decision-making. * Assess multi-channel campaign performance and provide clear recommendations to marketing partners to improve outcomes. * Work closely with cross functional teams and leadership to enhance data quality, evolve marketing datasets, and support scalable analytical workflows. * Communicate insights clearly and effectively, turning complex analyses into actionable recommendations for leadership and cross-functional teams. Requirements * Minimum of 5 years of experience in data science, marketing data science, or growth analytics within B2C, B2B, e-commerce, or SaaS environments. * Advanced proficiency in SQL and Python, including experience with data manipulation libraries and statistical modeling. * Hands-on experience with modern cloud data warehouses (e.g., BigQuery) and building scalable data models or pipelines for analytics. * Strong understanding of marketing measurement, including CAC, CLV, ROAS, funnel analytics, incrementality testing, and attribution methods (MMM, MTA, SKAN). * Experience with predictive modeling, such as LTV, churn, conversion propensity, clustering, and time-series forecasting. * Familiarity with mobile measurement partners, including AppsFlyer or Adjust, and mobile attribution concepts. * Experience designing and evaluating experiments, with a solid grounding in statistical testing, causal inference, and uplift modeling. * Demonstrated ability to work cross-functionally, partnering with Marketing, Product, Finance, and Data Engineering stakeholders. * Exceptional analytical and problem-solving skills, with the ability to break down ambiguous problems and operate autonomously in fast-paced environments. * Clear and effective communication skills, with the ability to convey complex technical insights to non-technical audiences. Benefits: * Comprehensive medical, dental, and vision plans * 401K with employer match * Commuter Benefits * Catered lunch multiple days per week * Dinner stipend every night if you're working late and want a bite! * Grubhub subscription * Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) * Multiple team offsites per year with team events every month * Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only.