Data Scientist Jobs in Vallejo, CA

Data Scientist - Real-Time Bidding Salary: $150k - $220k • 0.2% - 0.3% Hybrid - San Mateo (2/3 days) About the Company: Morpheus are partnered with a Seed Funded startup who are building an advanced AI-driven platform that helps brands run performance-driven ad campaigns on streaming TV. Our technology connects creative content, smart targeting, and digital measurement to improve key performance indicators like website visits and purchases while enhancing other digital marketing channels. We are seeking a Data Scientist with a strong background in machine learning and a passion for optimizing real-time bidding strategies. In this role, you will design and develop algorithms to improve bidding efficiency and maximize ROI. This is a unique opportunity to work on a greenfield project and make a significant impact. Key Responsibilities: Develop machine learning models for real-time bidding optimization. Apply reinforcement learning techniques to enhance bidding strategies. Utilize multi-armed bandit algorithms to improve bid allocation. Analyze large datasets to uncover insights and refine algorithms. Collaborate with cross-functional teams to integrate models into the platform. Stay up to date with advancements in machine learning and ad tech. Qualifications: Proven experience as a Data Scientist, with expertise in machine learning. Strong proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch). Experience with reinforcement learning, multi-armed bandits, and bid optimization. Familiarity with real-time bidding systems and digital advertising metrics. Strong analytical and problem-solving skills. Ph.D. in a relevant field (e.g., statistics, mathematics, AI) preferred. Nice to Have: Experience with cloud platforms for model deployment (e.g., AWS, Google Cloud). Knowledge of containerization tools like Docker. Background in ad tech or experience with demand-side platforms. What We Offer: Competitive salary and equity options. Flexible work hours and hybrid work model (2 days per week in the office). Professional growth opportunities. Collaborative and inclusive work environment. Work on cutting-edge technology in a pioneering startup. Thank you for your interest in our Job at Morpheus Group. For updates on new job opportunities in emerging technology and operational excellence globally, we invite you to follow our LinkedIn page. Stay informed and connected with us here or via our website ******************************************************************

Business Integration Partners (BIP) is Europe's fastest growing digital consulting company and are on track to reach the Top 20 by 2025, with an expanding global footprint in the US (New York, Boston, Chicago, Tampa, Charlotte, Dallas, and Houston). Operating at the intersection of business and technology we design, develop, and deliver sustainable solutions at pace and scale creating greater value for our customers, employees, shareholders, and society. Position Overview: BIP US is seeking to grow its US consulting team and is looking for a Data Scientist with 5-7 years of experience to join our BIP Bay Area consulting team. This consultant will work at the intersection of Finance and Engineering, helping us optimize revenue, track key financial metrics, and improve decision-making with data-driven insights. This consultant must thrive in fast-paced environments, have a passion for digging into data to drive business strategy, and be able to bridge the gap between Finance and Engineering. You must have valid US work authorization and must physically reside in the Bay Area, within a 50-mile commute. We are unable to support relocation costs. Please do not apply for this position unless you meet the criteria outlined above. Key Responsibilities: Usage-Based Billing Analysis - Develop and refine billing models by product, ensuring alignment between revenue and usage data. Tracking Credits & Cost Margin Analysis - Monitor credit usage and analyze cost margins to optimize pricing strategies. Churn Modeling & Customer Retention - Build predictive models to identify risk factors for customer churn and develop strategies to improve retention. Agent Conversion Analytics - Analyze user behavior and engagement data to improve conversion rates from free to paid customers. Cycle Tracking & ARR Waterfall - Monitor customer lifecycle trends, track Annual Recurring Revenue (ARR) movements, and forecast financial outcomes. Cross-functional Collaboration - Work closely with Finance, Product, and Engineering teams to ensure data insights drive strategic business decisions. Qualifications: Bachelor's degree and 5-7 years of experience in Data Science, Analytics, or a related field. Strong expertise in data analytics, financial modeling, and business intelligence. Experience with programs & tools such as Hashboard, Amplitude, Stripe, Google, Apple, DBT Labs, Bitquery, and Python. Exceptional communication and storytelling skills - ability to present complex data in a clear and compelling way to executives. Strong problem-solving skills with a curious and proactive mindset -analyzing data, asking the right questions and finding solutions accordingly. Experience working cross-functionally with Finance (CFO/FP&A) and Engineering teams. Ability to thrive in ambiguity and adapt quickly in a high-growth startup environment. **The base salary range for this role is $150,000-$175,000** Benefits: Choice of medical, dental, vision insurance. Voluntary benefits. Short- and long-term disability. HSA and FSAs. Matching 401k. Discretionary performance bonus. Employee referral bonus. Employee assistance program. 9 public holidays. 22 days PTO. PTO buy and sell program. Volunteer days. Paid parental leave. Remote/hybrid work environment support. For more information about BIP US, visit ********************************* Equal Employment Opportunity: It is BIP US Consulting policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship, or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds. BIP US provides a reasonable range of compensation for our roles. Actual compensation is influenced by a wide array of factors including but not limited to skill set, education, level of experience, and knowledge.

We are seeking an experienced Senior Data Scientist with over 5 years of experience in Data Science, Machine Learning (ML), and Artificial Intelligence (AI) to join our team in Redwood City, SF Bay Area. Key Responsibilities: Architect and design scalable and enterprise-level AI/ML models to solve complex business challenges. Develop and optimize AI/ML algorithms to ensure high performance, accuracy, and efficiency. Lead the end-to-end AI/ML lifecycle, including data collection, preprocessing, modeling, deployment, monitoring, and maintenance. Collaborate with software engineers, data engineers, and product managers to integrate AI solutions seamlessly into existing systems. Stay ahead of industry trends, exploring and implementing the latest advancements in AI, ML, deep learning, and data science. Ensure best practices in ML model validation, interpretability, and performance optimization. Mentor and guide junior data scientists and ML engineers, fostering a culture of innovation and technical excellence. Work with big data technologies and cloud platforms such as AWS, GCP, or Azure to scale AI/ML solutions. Implement MLOps practices to streamline deployment, monitoring, and retraining of ML models in production. Required Qualifications: 5+ years of experience in Data Science, Machine Learning, or AI with a strong track record of delivering impactful AI solutions. Expert-level proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-Learn. Deep expertise in machine learning algorithms, deep learning, NLP, computer vision, and reinforcement learning. Proven experience in AI/ML model architecture, optimization techniques, and deploying models at scale. Strong knowledge of data engineering principles, including data pipelines, feature engineering, and ETL processes. Hands-on experience with cloud platforms (AWS, GCP, Azure) and big data technologies (Spark, Hadoop, Snowflake). Strong background in statistics, mathematics, and probability theory. Experience with MLOps, model deployment, and monitoring in production environments. Excellent problem-solving skills, critical thinking, and adaptability in a fast-paced environment. Strong communication skills, with the ability to present complex AI concepts to non-technical stakeholders. Preferred Qualifications: Bachelors or Masters in Computer Science. Experience with real-time AI applications. Knowledge of AI ethics, explainability, and responsible AI frameworks. Why Join Us? Cutting-edge AI/ML projects: Work on innovative solutions with real-world impact across industries. Collaborative and high-growth environment: Work alongside top talent in AI, data science, and engineering. Competitive compensation & benefits: Market-leading salary, stock options, and career growth opportunities.

Job Title: Senior Data Scientist (MarTech) Duration: 12+ months Contract (Potential to extend) Pay: $100/$110/Hr on W2 (depends upon experience) MarTech Data Science Measurement empowers Client to optimize marketing ROI by generating data-driven recommendations. We lead the way in defining and advancing best practices for measuring and optimizing marketing impact. We collaborate with Marketing, Finance, and Engineering to provide actionable recommendations and tools based on effective, timely, and granular measurements. Our team's tenets are: Actionable: Deliver insights that drive confident business decisions. Impactful: Prioritize projects based on their expected value to Client. Balanced: Adapt methods to business questions and data realities, acknowledging limitations. Rigorous: Maintain methodological integrity and quantify the sensitivity of findings. Innovative: Invest in advancing measurement science and developing new methods. Influential: Share learnings across Client and the broader data science community. The difference you will make: We are seeking an experienced Data Scientist with deep expertise and experience building data pipelines and automating measurement systems. The ideal candidate will have experience working with Apache Airflow and Spark, as well as a comprehensive understanding of SQL. They are expected to be fluent in multiple statistical programming languages, particularly R and Python. They should also be familiar with causal inference methodologies, including experimental and observational approaches. The ideal candidate will be capable of hands-on data work to produce insights and recommendations for stakeholders, driving impactful decisions in our marketing efforts. A typical day: Data Pipelines: Build novel data pipelines that accelerate the work of our data science team, including automating data validation, unit testing, and other common processes. Productionalizing Prototypes: Refine prototypes built by other scientists and prepare them to be productionalized within Client's systems. Causal Inference: Apply and develop causal inference methods, especially around MMM, to estimate the effectiveness of Client's marketing initiatives. Data Analysis: Conduct data pulls, analyze trends, and create new features to support measurement efforts. Collaboration: Work effectively with cross-functional teams, providing insights that optimize marketing strategies. Your expertise: PhD in Economics, Statistics, Marketing, or a related field, or a Masters Degree in a similar field with 2+ years of experience. Deep knowledge of data management tools, systems, and processes, including Apache Airflow and Spark. Proficiency in statistical programming (Python and R) and database usage (SQL). Experience with media mix modeling (MMM). Ability to communicate complex concepts clearly to stakeholders at varying technical levels. Proven track record of solving business problems through data science methods. Preferred expertise: Passion for marketing and consumer science, with a desire to stay informed about the latest advances in the field. Familiarity with Bayesian modeling and its applications in marketing. Experience with causal ML modeling. Experience in developing end-to-end models for data-driven decision-making.

Salary: $200K-$230K base + Equity We're looking for a Staff Data Scientist to take on a key leadership role at a rapidly growing travel technology company backed by top investors. In this role, you'll shape and scale machine learning models that drive critical business functions, including lead scoring, pricing, personalization, and fraud detection. This is an opportunity to work on complex, high-scale data challenges in a fast-moving, data-driven environment. What You'll Do: Lead the development and deployment of ML models for lead scoring, churn prediction, pricing optimization, and personalization. Collaborate closely with engineering, analytics, and business teams to ensure actionable insights and measurable impact. Own end-to-end data science projects, from data gathering and feature engineering to model selection, inference, and performance monitoring. Enhance data infrastructure and analytics capabilities by working closely with data engineers and analysts. Translate complex findings into clear recommendations for both technical and non-technical stakeholders. What We're Looking For: 7+ years of experience in Data Science or Machine Learning in high-growth environments. MS/PhD in a quantitative / STEM field (Mathematics, Statistics, Economics, Engineering, Computer Science, etc.). Deep expertise in machine learning algorithms, statistical modeling, and feature engineering. Proficiency in Python (scikit-learn, numpy, pandas) and SQL. Experience with Snowflake and Streamlit is a plus. A bias toward simple, effective solutions before adding complexity. Ability to communicate insights clearly to both technical and non-technical audiences. Thrives in fast-paced, dynamic environments, with a strong sense of ownership and initiative.

We are assisting one of our start up clients build out their Data Science team as they disrupt B2B marketing. This person will apply advanced analytics and machine learning to improve their marketing platform as well as collaborate with senior leadership. Key Responsibilities: Performance & Growth Marketing Analytics: Apply expertise in performance marketing to detect ad fatigue, optimize match rates, and build audience models that drive campaign success. Advanced Analytics & Machine Learning: Collaborate with the Integrations team to apply advanced data analytics and ML techniques to optimize how data flows within Primer. User-Facing Features: Use insights to help build an AI copilot that drives better decision-making for our users, by developing targeting algorithms for improved customer outcomes. Collaborate Across Teams: Partner with internal data architects, product teams, and engineers to ensure data insights are impactful and lead to meaningful product outcomes. Must-Have Qualifications: Growth/Performance Marketing Experience: Expertise in growth/performance marketing analytics, especially in areas such as ad fatigue detection, match rate optimization, and audience modeling. Versatile Data Scientist: Strong capability to handle various aspects of data science-basic analysis and visualization, statistical analysis, and model development. Proven ML Experience: Demonstrated experience in productionizing machine learning algorithms into user-facing features and products. Product-Minded: A deep understanding of product development with a user-centric mindset, collaborating with product teams to prioritize the user experience.

Own the tooling, frameworks, data pipelines, integrations, databases, schemas and data integrity of this environment. You are a critical member of the team in supplying the data that underpins key operations, uncover hidden issues, and powers insight through reports, analytics and dashboards owned and managed by our team. Our operations team will depend on you to find, source, prepare and supply the right data. Our marketing and sales team will depend on you to serve the right data quickly and reliably to our customers so they can make decisions. Our research team relies on you to deliver reports to inform them of their decisions. Responsibilities: Enable our research team to make data-driven decisions based on timely, consistent, complete, and correct data, reports and analytics Work closely with engineering team members to support our existing ETL processes and solving our analytics needs Be the subject matter expert in all things data pipelines, data lakes and warehouse, tooling & frameworks, integration and sourcing of data Collaborate with cross-functional teams to gather and analyze business requirements. Develop and optimize ETL processes to ensure data accuracy and integrity. Implement data governance and security measures to protect sensitive information. Provide technical leadership and mentorship to other BI engineers. Possess the vision to guide us to the next stage of our data journey. Be detail-oriented, with a healthy level of skepticism that drives you to investigate even minor data discrepancies. Quickly learn new languages, tools, and frameworks, and be willing to explore uncharted territories to achieve your objectives. Maintain curiosity about innovative approaches and strive to push the boundaries of existing methodologies. Excel in a collaborative and team-oriented environment. Required Skills: B.S. in Computer Science, or related data field 6+ years of experience in Data Engineering, ETL, Data Science or related role Expert knowledge of Azure, Data Factories, SQL, Fabric Proficiency in BI tools such as Tableau, Power BI, or Looker. Proficiency in ETL tools and processes. Knowledge of Snowflake Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Experience in the financial services or investment industry Compensation: $170-$200k, DOE

Seeking a Senior Data Engineer for the following role - Basic Qualifications 5+ years of relevant data engineering experience with specific experience in Airflow, Snowflake and Databricks. 1+ years of experience in Python. Strong understanding of data modeling principles including Dimensional modeling, data normalization principles. Good understanding of SQL engines and able to conduct advanced performance tuning. Ability to think strategically, analyze and interpret market and consumer information. Strong communication skills - written and verbal presentations. Excellent conceptual and analytical reasoning competencies. Comfortable working in a fast-paced and highly collaborative environment. Familiarity with Agile Scrum principles and ceremonies. Preferred Qualifications 2+ years of work experience implementing and reporting on business key performance indicators in data warehousing environments, required. 2+ years of experience using analytic SQL, working with traditional relational databases and/or distributed systems (Snowflake or Redshift), required. 1+ years of experience with data orchestration/ETL tools (Airflow, Nifi), preferred. Experience with Snowflake, Databricks/EMR/Spark, and/or Airflow. Education BS in Computer Science, Information Systems The estimated pay range for this position is USD $85.00/hr - USD $91.50/hr. Exact compensation and offers of employment are dependent on job-related knowledge, skills, experience, licenses or certifications, and location. We also offer comprehensive benefits. The Talent Acquisition Partner can share more details about compensation or benefits for the role during the interview process.

About Us We're on a mission to redefine how AI interacts with the world-bringing human-like understanding, perception, and communication to the forefront of technology. Our cutting-edge research in multi-modal AI powers everything from text-to-video AI avatars to real-time interactive experiences that are reshaping industries like healthcare, education, sales, and beyond. Backed by top investors, we're rapidly scaling and looking for exceptional talent to push the boundaries of AI-driven communication. If you're ready to own data strategy at a high-growth AI company, this is your chance to make an impact. The Role: Data Architect, Builder, and Innovator Data isn't just fuel for our AI-it's the foundation of everything we build. As Senior Data Engineer, you won't just clean datasets and maintain pipelines. You'll own the entire data lifecycle, from sourcing and structuring to optimizing for next-gen AI models. We're looking for someone who thinks beyond conventional data engineering-you anticipate what's next, push boundaries, and make sure our AI has access to the best data possible. Your Mission 🚀 Be a data visionary - You see beyond the present and anticipate the data needs of future AI models, ensuring high-quality, diverse, and structured datasets that drive innovation. Own data end-to-end - You don't just process data-you strategically source, structure, and optimize multimodal datasets (text, video, images, and more) for maximum AI effectiveness. Shape AI model training - Work closely with ML engineers to curate and fine-tune datasets that elevate AI performance, efficiency, and inference accuracy. Be a data hunter - Whether it's web scraping, third-party integrations, or unconventional sources, you know how to acquire the right data and scale data procurement. Master video data - AI-generated video presents unique challenges. You'll define classification, segmentation, and structuring techniques to optimize video datasets for AI training. Optimize labeling & automation - Develop automated pipelines that make data cleaning, labeling, and structuring seamless while maintaining gold-standard quality. Turn internal data into insights - Our own platform is a goldmine of information. You'll uncover, organize, and optimize internal data for strategic impact. Move fast, but don't break data - You balance speed and precision, ensuring every pipeline, dataset, and workflow is scalable, reliable, and built to last. What We're Looking For ⚡ You don't just maintain-you build. From zero to fully running pipelines, you make things happen. You take charge of how we leverage data for AI-driven decisions. Extreme ownership - You don't wait for someone to tell you what data we need. You proactively identify, source, and structure data for AI breakthroughs. Product-minded approach - You understand the bigger picture and align data strategies with company goals. Experience with multimodal AI data - Background in LLMs, video, text, and image data is a huge plus. Automation first - You know how to automate data cleaning, structuring, and labeling to ensure efficiency and scale. ML-first mindset - You get that better data = better models and optimize datasets for maximal AI impact. Technical expertise - You've got Python, SQL, and large-scale data processing tools locked down. Speed + accuracy - You move fast but never compromise on precision. You set the standard - We're solving problems no one has solved before. You create best practices, not just follow them. Why Join Us? When you join our team, you're joining a fast-moving, diverse, and collaborative environment where your work has direct impact. We offer: Flexible work schedules & remote-friendly culture Unlimited PTO & top-tier healthcare Generous gear stipends A high-energy, supportive team that loves what they do We aren't just looking for someone to fit in-we want culture creators who bring new perspectives and push boundaries. If you're ready to take data engineering to the next level and drive the future of human-AI interaction, let's talk. 🚀 Apply now and be part of the AI revolution!

Marketing Data Analytics & Insights Specialist Company: Dolby Laboratories, Inc. Join the leader in entertainment innovation and help us design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you'll see and hear the results of your work everywhere, from movie theaters to smartphones. We continue to revolutionize how people create, deliver, and enjoy entertainment worldwide. To do that, we need the absolute best talent. We're big enough to give you all the resources you need, and small enough so you can make a real difference and earn recognition for your work. We offer a collegial culture, challenging projects, and excellent compensation and benefits, not to mention a Flex Work approach that is truly flexible to support where, when, and how you do your best work. The Marketing department creates passion and relevance for the "Dolby Difference" driving sell-in and sell-through of Dolby enabled devices, services, content, and experiences across multiple constituents - partners, creators, consumers, and developers. We are seeking a Marketing Data Analytics and Insights Associate to join our marketing team. This role is essential for measuring and reporting on the success of the marketing organization while leveraging data to inform strategic decisions and optimize operations. This position is part of the Marketing Strategy, Impact, and Operations team and reports to the Business Operations Lead. Key Responsibilities: Conduct quantitative analyses and integrate multiple data sets-including internal metrics and market variables-to generate actionable insights that inform strategic planning. Develop and maintain data systems, dashboards, and visualizations to track the overall success of the Marketing function. Partner with global and regional marketing teams to establish processes for consistently tracking and storing key marketing metrics worldwide. Specific Duties: Data Analysis: Analyze diverse marketing data sets to identify trends, uncover insights, measure ROI, and define metrics that align with global priorities. Apply statistical methods to evaluate correlations and causality between internal metrics and market variables. Provide data-driven recommendations to marketing leadership. Data Management & Governance: Develop and maintain structured systems for data storage, input, and reporting. Ensure accuracy, consistency, and clear ownership of data processes. Insights Reporting & Visualization: Use tools like Power BI to create and maintain global and regional dashboards, providing marketing leadership with actionable insights. Support the marketing operations team in establishing regular reporting cadences. Marketing Activity Tracking: Develop and oversee processes to consolidate and summarize campaign-level metrics globally, aligning them with broader dashboards and reports. Collaboration: Work closely with category/program managers, operations, and regional marketing teams to track and measure progress against goals. Partner with other Dolby teams outside of Marketing (e.g., Advanced Technology Group) to share data best practices. Research Support: Assist in designing and executing research studies, such as quarterly surveys, to measure Dolby Marketing's impact on external audiences. Qualifications: 3+ years of experience in business analytics or data science, preferably in a marketing-related role. Bachelor's degree in Statistics, Data Science, Computer Science, or a related quantitative field. Proficiency in data management, statistical analysis, and research techniques. Experience with business intelligence and analytical tools (e.g., Power BI, Tableau). Strong analytical and problem-solving skills, with the ability to interpret complex data sets and generate meaningful insights. Ability to build structured systems and processes within ambiguous environments, ensuring accessibility and usability of data across teams. Skilled in translating data into digestible insights and actionable recommendations for senior leadership and internal teams. Interest in technology, entertainment, film/TV, audio, music, or gaming is a plus. The San Francisco/Bay Area base salary range for this full-time position is $87,000 to $117,000, which can vary if outside this location, plus bonus, benefits, and some roles may also include equity. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, competencies, experience, market demands, internal parity, and relevant education or training. Your recruiter can share more about the specific salary range and perks and benefits for your location during the hiring process. Dolby will consider qualified applicants with criminal histories in a manner consistent with the requirements of San Francisco Police Code, Article 49, and Administrative Code, Article 12. Equal Employment Opportunity: Dolby is proud to be an equal opportunity employer. Our success depends on the combined skills and talents of all our employees. We are committed to making employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, gender identity, national origin, religion, marital status, family status, medical condition, disability, military service, pregnancy, childbirth and related medical conditions or any other classification protected by federal, state, and local laws and ordinances. #J-18808-Ljbffr

***Hybrid Data Engineer consulting opportunity in San Francisco, CA**** Focus on SQL Knowledge and workflow management (airflow tool) and Machine Learning Knowledge: Specifically Feature. Understanding data inputs into the model and feature analysis. Feature Engineering. Training data set composition. Experience with Pyspark to perform data transformations, feature engineering, data analysis, and ML training data generation. This role supports the feature generation, data workflows, and maintenance of the RealTIME personalization models for the Campaigns fleet. ***Streaming industry experience is a huge plus!*** EXTERNAL JOB DESCRIPTION: Department Overview: Applied Machine Learning Engineers, Data Engineers, and Data Scientists on the Disney Streaming Machine Learning and Innovation team develop and maintain recommendation and personalization algorithms for Streaming's suite of streaming video apps. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes. Our team is… • A group of engineers and data scientists with diverse expertise delivering solutions together. • Collaborative and dynamic. • Embracing agile practices. • Using continuous integration/automated testing. • Led by startup veterans. Basic Qualifications Required Qualifications: ● 2+ years of data engineering experience ● Deep knowledge of the Python data ecosystem ● Great coding and problem-solving skills ● Experience in building large datasets and scalable services ● Experience deploying and running services in AWS and in engineering big-data solutions using technologies like Databricks, EMR, S3, Spark, and Docker ● Experience with Pyspark to perform data transformations, feature engineering, data analysis, and ML training data generation ● Excellent communication and people engagement skills Preferred Qualifications ● Experience building streaming pipelines using Kafka, Spark, or Flink ● ML algorithmic and systems knowledge/experience Responsibilities: ● Partner with technical and non-technical colleagues to understand ML algorithm feature, data, and workflow requirements. ● Implement necessary feature analysis, new features, training datasets and related workflows and monitoring metrics and services ● Work with Engineering teams to collect required data from internal and external systems ● Develop and maintain ETL routines using orchestration tools such as Airflow ● Collaborate with machine learning practitioners to design and build model and data forward solutions ● Deploy scalable streaming and batch data pipelines to support petabyte scale datasets ● Enforce common data design patterns to increase code maintainability ● Create ETL architecture designs and conduct reviews ● Perform ad hoc data analysis and maintenance as necessary ● Partner with team leads to identify, design, and implement internal process improvements ● Drive and maintain a culture of quality, innovation, and experimentation ● Work in an Agile environment that focuses on collaboration and teamwork Required Education Bachelor's degree or relevant years of work experience

$60- $72/hr. ***No C2C's Need Apply*** Our client, a large Electric Vehicle Manufacture is seeking an ADAS Sensor Data Engineer for a 9-month contract or work through 12/31/2025. ***No C2C's Need Apply*** 100% onsite in Newark, CA We are seeking a skilled ADAS Sensor Data Engineer to join our innovative automotive technology team. The ideal candidate will have a strong background in working with various sensor data, including camera, LiDAR, and radar systems. You will be responsible for managing and synchronizing sensor data, ensuring its accuracy and usability for advanced driver-assistance systems (ADAS). Proficiency in C++ and Python, along with a solid understanding of Linux operating systems, is essential. Experience in software development, particularly in the context of ADAS features, is required. Automotive industry experience is a strong plus. Key Responsibilities: · Collect, process, and analyze sensor data from camera, LiDAR, and radar systems. · Synchronize and calibrate sensor data to ensure alignment and accuracy across different modalities. · Develop and maintain software tools and algorithms for sensor data processing using C++ and Python. · Collaborate with cross-functional teams to integrate sensor data into ADAS systems and features. · Work with large datasets, ensuring efficient data handling, storage, and retrieval. · Debug and troubleshoot software and hardware issues related to sensor data acquisition and processing. · Optimize sensor data pipelines for performance and reliability on Linux-based systems. · Participate in the development and implementation of ADAS features, ensuring they meet safety and performance standards. Required Qualifications: · Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field. · 5 years proficiency in C++ and Python programming languages. · Strong understanding of camera, LiDAR, and radar sensor technologies and data formats. · Experience in synchronizing multi-modal sensor data. · Solid understanding of Linux operating systems and development environments. · Familiarity with ADAS features and their implementation in software. · Strong problem-solving skills and attention to detail. · Excellent communication and teamwork abilities. Preferred Qualifications: · Experience in the automotive industry, particularly in the development of ADAS or autonomous driving systems. · Knowledge of sensor fusion algorithms and techniques. · Experience with real-time data processing and embedded systems. · Familiarity with automotive safety standards and regulations. Pay for this position is based on market location and may vary depending on job-related knowledge, skills, and experience. Applicants should apply via The Mice Groups Inc. website (******************* or through this careers site posting. We are an equal-opportunity employer and value diversity at The Mice Groups Inc. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The Mice Groups Inc. values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates. Privacy Policy One of the basic principles The Mice Groups follows in designing and operating this website is that we ask for only the information we need to provide the service you've requested. The Mice Groups does not currently collect personal identifying information via its website except (i) to the extent that you provide this information in an online job application and (ii) to the extent that your web browser provides personal identifying information. The Mice Groups will use your personally identifying information solely for the purpose for which you submitted the information. The Mice Groups may, however, aggregate certain elements of your personal identifying information with the information of other users of our website to analyze the usefulness and popularity of various web pages on its website. The Mice Groups reserves the right to change this policy at any time by posting a new privacy policy at this location. Questions regarding this statement should be directed to *******************

On any given day at Disney Entertainment & ESPN Technology, we're reimagining ways to create magical viewing experiences for the world's most beloved stories while also transforming Disney's media business for the future. Whether that's evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney's unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world. A few reasons why we think you'd love working for Disney Entertainment & ESPN Technology Building the future of Disney's media business: DE&E Technologists are designing and building the infrastructure that will power Disney's media, advertising, and distribution businesses for years to come. Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day - from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more. Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news. The Data Reliability Engineering team for Disney's Product and Data Engineering team is responsible for maintaining and improving the reliability of Disney Entertainment's big data platform, which processes hundreds of terabytes of data and billions of events daily. About The Role The Lead Data Engineer will help us in the ongoing mission of delivering outstanding services to our users allowing Disney Entertainment to be more data-driven. You will work closely with our partner teams to monitor and drive improvements for reliability and observability of their critical data pipelines and deliverables. This is a high-impact role where your work informs decisions affecting millions of consumers, with a direct tie to The Walt Disney Company's revenue. You will be making an outsized impact in an organization that values data as its top priority. We are a tight and driven team with big goals, so we seek people who are passionate about solving the toughest challenges and working at scale, using, supporting, and building distributed systems in a fast-paced collaborative team environment. We also support a healthy work-life-balance. Responsibilities Assist in designing and developing a platform to support incident observability and automation. This team will be required to build high quality data models and products that monitor and reports on data pipeline health and data quality. Lead project work efforts internally and externally setting project deliverables, review design documents, perform code reviews and help mentor junior members of the team. Collaborate with engineering teams to improve, maintain, performance tune, and respond to incidents on our big data pipeline infrastructure. Own building out key components for observability and intelligent monitoring of data pipelines and infrastructure to achieve early and automated anomaly detection and alerting. Present your research and insights to all levels of the company, clearly and concisely. Build solutions to continually improve our software release and change management process using industry best practices to help DSS maintain legal compliance. Basic Qualifications 7+ years of experience working on mission critical data pipelines and ETL systems. 7+ years of hands-on experience with big data technology, systems and tools such as AWS, Hadoop, Hive, and Snowflake Detailed problem-solving approach, coupled with a strong sense of ownership and drive A passionate bias to action and passion for delivering high-quality data solutions Expertise with common Data Engineering languages such as Python, Scala, Java, SQL and a proven ability to learn new programming languages Experience with workflow orchestration tools such as Airflow Deep understanding of end-to-end pipeline design and implementation. Attention to detail and quality with excellent problem solving and interpersonal skills Preferred Qualifications Advanced degrees are a plus. Strong data visualizations skills to convey information and results clearly Ability to work independently and drive your own projects. Exceptional interpersonal and communication skills. Impactful presentation skills in front of a large and diverse audience. Experience with DevOps tools such as Docker, Kubernetes, Jenkins, etc. Innate curiosity about consumer behavior and technology Experience with event messaging frameworks like Apache Kafka A fan of movies and television is a strong plus. Required Education Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Additional Information #DISNEYTECH The hiring range for this position in Santa Monica, California is $152,200 to $204,100 per year, in Bristol, Connecticut is $152,200 to $204,100 per year, in Seattle, Washington is $159,500 to $213,900 per year. in New York City, NY is $159,500 to $213,900 per year, and in San Francisco, California is $166,800 to $223,600 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. #J-18808-Ljbffr

Lead Data Engineer, Data ReliabilityJob ID 10103077 Location Santa Monica, California, United States / Bristol, Connecticut, United States / San Francisco, California, United States / New York, New York, United States / Seattle, Washington, United States Business Disney Entertainment & ESPN Technology Date posted Jan. 21, 2025Job Summary: On any given day at Disney Entertainment & ESPN Technology, we're reimagining ways to create magical viewing experiences for the world's most beloved stories while also transforming Disney's media business for the future. Whether that's evolving our streaming and digital products in new and immersive ways or delivering Disney's unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world. The Data Reliability Engineering team for Disney's Product and Data Engineering team is responsible for maintaining and improving the reliability of Disney Entertainment's big data platform, which processes hundreds of terabytes of data and billions of events daily. The Lead Data Engineer will help us in the ongoing mission of delivering outstanding services to our users allowing Disney Entertainment to be more data-driven. You will work closely with our partner teams to monitor and drive improvements for reliability and observability of their critical data pipelines and deliverables. This is a high-impact role where your work informs decisions affecting millions of consumers, with a direct tie to The Walt Disney Company's revenue. We seek people who are passionate about solving the toughest challenges and working at scale, using, supporting, and building distributed systems in a fast-paced collaborative team environment. Assist in designing and developing a platform to support incident observability and automation. Lead project work efforts internally and externally setting project deliverables, review design documents, perform code reviews and help mentor junior members of the team. Collaborate with engineering teams to improve, maintain, performance tune, and respond to incidents on our big data pipeline infrastructure. Own building out key components for observability and intelligent monitoring of data pipelines and infrastructure. Build solutions to continually improve our software release and change management process. Minimum Qualifications: 7+ years of experience working on mission critical data pipelines and ETL systems. 7+ years of hands-on experience with big data technology, systems and tools such as AWS, Hadoop, Hive, and Snowflake. Expertise with common Data Engineering languages such as Python, Scala, Java, SQL. Experience with workflow orchestration tools such as Airflow. Deep understanding of end-to-end pipeline design and implementation. Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study. #DISNEYTECH #J-18808-Ljbffr

W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed. Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters. Job Overview Job ID: J36993 Specialized Area: Data Science Job Title: Data Science Engineer - Machine Learning Location: To Be Discussed Later Duration: 7 Months Domain Exposure: Healthcare, Insurance, IT/Software Work Authorization: W-2 (Consultant must be on our company payroll. C2C is not allowed) Responsibilities: Help drive data science projects from concept, development, and deployment to production. Propose statistical or machine learning based model/methodology to solve the problem. Propose accuracy measures and validation criteria for the model. Implement and evaluate proposed model/methodology. Provide deep technical guidance and mentorship to the entire team. Work with product managers to formulate the ML product vision and design. Qualifications: Masters or Ph.D. in Computer Science, applied mathematics, or a related engineering discipline is essential. 4+ years building data powered products. Strong background in machine learning, statistics, and programming. Proven track record of analyzing large-scale complex data sets, modeling and machine learning algorithms. Expertise in at least one high-level programming language like Java, Scala, C++ or Python (NumPy, SciPy, Pandas). Expertise in at least one statistical modeling tool from among R, Matlab or Weka, is a plus. ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract. #J-18808-Ljbffr

About the Team Our Applied team brings OpenAI technologies to consumers and businesses around the world. We collaborate across research, engineering, design and business functions to turn cutting-edge AI advancements into impactful real-world applications. Our team has been behind notable product launches (ChatGPT, API, Sora), creating tools that help developers write code, enable businesses to operate more efficiently, and empower individuals to learn and create. As AI capabilities rapidly evolve, we focus on ensuring that our products are safe, accessible, and beneficial to all. About the Role As a Data Scientist on the Applied Product team, you will contribute to a data-driven product development culture for consumer and enterprise products at OpenAI. This is critical as our products reach millions of users and businesses worldwide. We are focused on aligning both research and product development to drive measurable impact for these individuals and organizations alike. You should expect to define our north-star metrics, design A/B tests, and establish source-of-truth dashboards that the entire company can use to answer their own product questions. Most importantly, you should expect to be a core member of the product development team. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Embed with the product development team as a trusted partner, uncovering new ways to improve the product and drive growth Define and interpret A/B tests that help answer critical questions about the impact of model and UX changes to our product Establish a data-driven product development culture by defining, tracking, and operationalizing feature-, product-, and company-level metrics Develop and socialize dashboards, reports, and other ways of enabling the team and company to answer product data questions in a self-serve way You might thrive in this role if you have: 5+ years experience in a quantitative role navigating highly ambiguous environments, ideally as an early data scientist or product analyst at a hyper-growth product company or research org Proposed, designed, and run rigorous experiments with clear insights and product recommendations utilizing SQL and Python Defined, implemented, and operationalized new feature and product-level metrics from scratch Excellent communication skills with demonstrated ability to communicate with product managers, engineers, and executives alike Strategic insights beyond the paradigm of statistical significance testing You could be an especially great fit if you have: Strong programming background, with ability to run simulations and prototype variants Experience validating quantitative insights with qualitative methods (e.g. surveys, UXR) Demonstrated prior experience in NLP, large language models, or generative AI About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. OpenAI Affirmative Action and Equal Employment Opportunity Policy Statement For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Mindlance is a national recruiting company which partners with many of the leading employers across the country. Feel free to check us out at ************************* Job Description Gurobi Optimization is must (Highly desired - at least hands on experience will work) -Developing predictive models in the area of marketing -Understanding business problems and translating it into data mining problems -Applying techniques such as clustering, classification and association -Web analytics, Data mining techniques application for large data. -The key personnel shall also demonstrate experience using advanced analytic techniques such as modern econometric methods, multivariate statistical analysis, clustering and segmentation, experimental design, optimization and text analytics. -Predictive models to improve advertiser campaign performance -Machine learning models for categorizing web pages and content -Fraud detection & automated ranking content quality Qualifications Gurobi Optimization Additional Information It you or anyone from your network is looking for a change and interested to know more about this role; do call me on ************ or send an email with your updated resume on raghuv1@mindlance(dot)com

Who we are: Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks. Motive serves more than 120,000 customers - from Fortune 500 enterprises to small businesses - across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector. Visit gomotive.com to learn more. About the Role: We are looking for a Data Scientist to build the models that power the credit risk and fraud functions for the Motive Card, a high-priority business area for Motive. The Motive Card is a corporate card natively integrated with a fleet management platform, giving businesses an all-in-one solution to automate their financial and physical operations. As a member of our team you'll help frame the problems, build models and products that win customers, and leverage machine learning at a massive scale to solidify Motive's technology lead in the connected fleet management space. What You'll Do: Work closely with Risk, Product and Engineering teams to build, improve and implement underwriting and fraud models Derive insights from complex data sets to identify credit and fraud risk Apply statistical and machine learning techniques on large datasets Evaluate the utility of non-traditional data sources What We're Looking For: Bachelor's degree or higher in a quantitative field, e.g. Computer Science, Math, Economics, or Statistics 4+ years experience in data science, machine learning, and data analysis in an Enterprise environment Expertise in applied probability and statistics Experience building credit risk and fraud models Deep understanding of machine learning techniques and algorithms End-to-end deployment data-driven model deployment experience Expertise in data-oriented programming (e.g. SQL) and statistical programming (e.g., Python, R). PySpark experience is a plus Pay Transparency Your compensation may be based on several factors, including education, work experience, and certifications. For certain roles, total compensation may include restricted stock units. Motive offers benefits including health, pharmacy, optical and dental care benefits, paid time off, sick time off, short term and long term disability coverage, life insurance as well as 401k contribution (all benefits are subject to eligibility requirements). Learn more about our benefits by visiting Motive Perks & Benefits. The compensation range for this position will depend on where you reside. For this role, the compensation range is: United States$90,000-$138,000 USD Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives. Please review our Candidate Privacy Notice here . UK Candidate Privacy Notice here. The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology. #LI-Remote

Responsibilities: - Data Collection & Preparation: * Gather, clean, and preprocess large datasets from various sources * Perform exploratory data analysis (EDA) to understand the structure and quality of the data * Apply data wrangling techniques to handle missing, inconsistent, or incomplete data Statistical Analysis & Modeling: * Use statistical techniques to identify patterns, correlations, and trends in data * Develop predictive and prescriptive models using machine learning algorithms * Build, test, and optimize models (e.g., regression, decision trees, random forests, SVM, deep learning, etc. * Perform hypothesis testing and A/B testing to validate assumptions and recommendations Machine Learning & AI Implementation: * Implement machine learning models and algorithms for various business * Leverage deep learning techniques and neural networks when necessary * Monitor the performance of deployed models, providing regular updates Data Visualization & Reporting: * Create interactive and insightful visualizations using tools such as Tableau, Power BI, or libraries like Matplotlib and Seaborn (for Python). * Present complex technical findings to non-technical stakeholders * Prepare detailed reports and dashboards that track key performance indicators (KPIs) and other business metrics Collaboration & Communication: * Work closely with cross-functional teams, including business analysts, product managers, and engineers, to define project goals and requirements * Communicate findings, methodologies, and insights effectively to both technical and business audiences * Provide actionable recommendations to help drive data-informed decision-making Continuous Improvement: * Stay up-to-date with the latest research, tools, and techniques in data science and machine learning. * Experiment with and implement cutting-edge machine learning algorithms and techniques. * Contributes to the refinement and optimization of existing data models and processes. Data Governance & Ethics: * Ensure data integrity and privacy by following best practices in data handling and processing. * Work in compliance with data security standards and ethical guidelines. Requirements: Educational Background: Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field. PhD is a plus. Technical Skills: * Strong proficiency in programming languages such as Python, R, or Java. * Solid knowledge of statistical analysis and machine learning techniques. * Hands-on experience with data manipulation and analysis using libraries like Pandas, NumPy, Scikit-learn, etc. * Familiarity with big data technologies such as Hadoop, Spark, or similar. * Experience with databases (SQL, NoSQL) and data extraction techniques. * Familiarity with cloud platforms such as AWS, GCP, or Azure is a plus. Analytical Skills: * Excellent problem-solving abilities and critical thinking skills. * Strong understanding of statistical methods, hypothesis testing, and data modeling Soft Skills: * S trong written and verbal communication skills. * Ability to explain complex technical concepts to non-technical audiences. * Detail-oriented with a strong focus on quality and accuracy. Experience: * Proven experience (2-5 years) in a data scientist role or similar. * Experience in implementing machine learning models in a production environment is preferred. * Experience with deep learning frameworks like TensorFlow, Keras, or PyTorch. * Knowledge of NLP (Natural Language Processing) and computer vision techniques. * Experience working with large-scale datasets in a cloud computing environment. Work Environment: * Collaborative and fast-paced work environment. * Opportunity to work with state-of-the-art technologies. * Supportive and dynamic team culture Salary Range: $165,750 - $246,675 a year #LI-AD1