Data science manager • berkeley ca
This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; Dallas, TX; San Francisco Bay Area, CA; and S...Show more
We are hiring Vehicle Operators to support a growing autonomous driving program focused on real-world data collection and testing.In this role, you will operate test vehicles on assigned routes, he...Show more
Full-Time, Monday-Friday, 7:30am-3:30pm.Competitive compensation starting from $50,.Our personalized learning model is what makes Learn4Life unique.Our students are at the center of our mission, wh...Show more
Data Entry Clerk Job Duties: Maintains database by entering new and updated customer and account information.Prepares source data for computer entry by compiling and sorting information.Processes c...Show more
Location:** US-Based and Non-US-Based**Type**: Full-time or Part-time Contract Work **Fluent Language Skills Required:** English **Why This Role Exists** Mercor partners with leading AI teams to im...Show more
Kreyco (formerly known as Language Learning Network) is a nationwide organization that specializes in preK-12 education.We support students of all kinds by building strong partnerships between scho...Show more
Lecturer - Data Science Undergraduate Studies - College of Computing, Data Science, and Society.The UC academic salary scales set the minimum pay at appointment.See the following table for the curr...Show more
In collaboration with clinical and project teams of the company, this role provides support for the design, planning and development of clinical narratives or other associated documents in the clin...Show more
Manager, Marketing Science/Advanced Analytics.This is a hybrid role to be based near one of our offices in New York City, Los Angeles, Oakland or Austin.We drive intelligent growth for ambitious bu...Show more
Project Manager, Political Data Collection - This is a remote role (within the US) * Fraud and phishing warning * If you are reading this away from the WeVote site, please apply directly via our vo...Show more
Clients need a single point of contact who actually understands hardware, not just a relationship manager who has to relay every technical question.Projects span hardware deployment, structured cab...Show more
Data Scientist Job Duties: Formulates and leads guided, multifaceted analytic studies against large volumes of data.Interprets and analyzes data using exploratory mathematic and statistical tech...Show more
Lawrence Berkeley National Laboratory is hiring a Data Science Engineer within the Scientific Data division.The has an immediate opening for a software and data engineer (CSE2) in the area of multi...Show more
Summary: Location: Oakland, CA Duration: 8 Months Responsibilities: Build and maintain backend datasets and transformations in Palantir Foundry Develop React TypeScript frontend components for comp...Show more
Location:** US-Based and Non-US-Based**Type**: Full-time or Part-time Contract Work **Fluent Language Skills Required:** English **Why This Role Exists** Mercor partners with leading AI teams to im...Show more
Senior Data Scientists on our team partner with product managers, SMEs and our clients to form a cross-functional team driving optimization of precious healthcare resources.We are looking for stron...Show more
Currently seeking a detail-oriented and efficient Data Entry Operator to join our team.As a Data Entry Operator, you will be responsible for accurately inputting and managing data into our computer...Show more
Location:** US-Based and Non-US-Based**Type**: Full-time or Part-time Contract Work **Fluent Language Skills Required:** English **Why This Role Exists** Mercor partners with leading AI teams to im...Show more
Build and maintain backend datasets and transformations in Palantir Foundry.Develop React TypeScript frontend components for compliance reporting.Integrate Foundry datasets with frontend views and ...Show more
The average salary range is between $ 135,004 and $ 209,465 year , with the average salary hovering around $ 160,000 year .
This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; Dallas, TX; San Francisco Bay Area, CA; and Seattle/WA.
About the Team/Role
As WEX continues to scale its Data-as-a-Service (DaaS) platform, the Data Acquisition Team plays a critical role in enabling secure, scalable, and reliable ingestion of data from hundreds of internal systems and external sources.
We are looking for a hands-onSenior Manager, Software Engineering - Data Acquisition to lead and manage a team responsible for acquiring, ingesting, and processing high-volume, diverse data. This role requires a strong leader with deep technical expertise in data pipelines, distributed systems, and cloud architecture, who can drive technical excellence, foster a culture of innovation, and align the data acquisition strategy with overall business goals.
How you’ll make an impact
Leadership & Management: Lead, mentor, and manage software engineers focused on data acquisition. Foster a high-performing, collaborative, and inclusive team culture. Conduct performance reviews, manage career development, and hire top engineering talent.
Strategy & Vision: Execute the technical roadmap and strategy for all data acquisition pipelines and systems. Ensure the infrastructure is scalable, reliable, secure, and cost-effective to handle ever-increasing data volumes and velocity.
Technical Oversight: Provide technical guidance and oversight on the design, development, deployment, and maintenance of critical data ingestion frameworks, APIs, and services. Ensure adherence to best practices in software engineering, data governance, and data quality.
Cross-functional Collaboration: Work closely with product management, data science, data governance, and other engineering teams to understand data needs and deliver solutions that meet business requirements.
Process Improvement: Drive continuous improvement in engineering processes, tools, and methodologies (e.g., CI/CD, automation, monitoring, alerting).
Operational Excellence: Ensure high availability and performance of all data acquisition systems, leading incident response and root cause analysis for any major outages.
Budget & Resource Management: Manage budget, resources, and capacity planning for the data acquisition organization.
Experience you’ll bring
Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
Experience: 10+ years of experience in software engineering, with at least 5+ years in a management role overseeing software engineering or data acquisition teams.
Experience in leading virtual teams is highly desirable
Technical Expertise:
Deep expertise in building and managing high-volume, real-time and batch data pipelines (e.g., Kafka, Kinesis, Pulsar).
Proficiency with cloud platforms (e.g., AWS, Azure, GCP) and experience designing scalable, serverless, or containerized data ingestion architectures (e.g., Kubernetes, EKS/AKS/GKE).
Strong knowledge of various data sources, integration patterns (APIs, web scraping, messaging queues), and ETL/ELT tools.
Expertise in programming languages such as Java, Python, Scala, or Go.
Solid understanding of database technologies (SQL, NoSQL, Data Warehouses like Snowflake, Redshift, etc.).
Leadership Skills: Proven ability to lead, motivate, and manage multiple distributed teams. Excellent communication, presentation, and interpersonal skills.
Problem Solving: Strong analytical and problem-solving skills, with the ability to define solutions for complex technical challenges.
