- UpvoteDownvoteShare Job
- Suggest Revision
Experience with relational transactional databases (postgres, mysql), data warehouses (Google BigQuery, Snowflake, Databricks, Redshift, Clickhouse) and other analytical systems. Our founding team holds multiple machine learning patents and brings experience from Facebook, LinkedIn, Rakuten, and Microsoft.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$135,240 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Typical solutions will utilize machine learning, artificial intelligence, statistical analysis, automation, optimization, and/or data visualizations. Databricks Machine Learning Associate or Machine Learning Professional Certification.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Key Responsibilities: Lead the engineering team in designing, developing, and deploying solutions applying modern web frameworks, machine learning solutions, data engineering technologies, microservices, and cloud-native architecture.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
As a member of our Machine Learning Research team, you will design new approaches to derive insights from Pfizer's proprietary data and external datasets to generate testable hypotheses across the drug discovery continuum with a focus on extracting biological knowledge.
$166,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Build AI Solutions: Lead a team of data scientists working with machine learning engineers to build AI solutions leveraging traditional machine learning models as well as modern Generative AI and LLMs. These solutions will be both internal employee-facing and external customer-facing.
$280,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Work with the Data Science Services team to provide beginning to intermediate data analysis consulting services for faculty, students, and staff from a wide range of disciplines across the university in the following areas: Data Engineering Extract, scrape, process and engineer data using a variety of tools such as Python, R, Stata, NVivo, etc.
$117,150 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Data Engineering - Integrate & curate data from research systems & artifacts to support analytics, modelling, machine learning, and investigation. 3+ years leveraging Databricks, Snowflake, AWS, or equivalent cloud data platforms.
$210,120 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
- Suggest Revision
At least 3 years of experience in Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) Lead a portfolio of diverse technology projects and a team of developers with deep experience in machine learning, distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company.
$201,400 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Design standard processes for analytical platforms, data engineering, data quality and governance, data science and Machine Learning (ML) methodologies. Excellent knowledge of Cloud Data Warehouse, Data Lake principles and reporting.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Key responsibilities for the Senior Software Engineer, UX Engineering include:Lead the development, deployment, and maintenance of full-stack, data-driven, cloud applications that serve our scientific community.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Current certifications in any of the following areas: cloud provider (AWS, Azure, GCP) technologies, cloud data technologies (Redshift, BigQuery, Synapse, Fabric, Snowflake, Databricks, etc.
$241,500 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations) Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience with cloud-based databases, specifically Azure technologies (e.g., Azure data lake, ADF, Azure DevOps and Azure Functions)." Staff Data Engineering role - someone with hands on experience with cloud infrastructure, PySpark/Spark(strong), CICD, basic software engineering, data engineering, etc.
Full-timeExpandApply NowActive JobUpdated 1 month ago
big data machine learning engineer google cloud jobs Title: machine learning engineer in Boston, MA
FEATURED BLOG POSTS
How to Utilize Keywords for Your Job Ads
Before we give you the scoop on how to utilize keywords in job ads, it would be helpful if we defined what keywords are and why they are important. In simple terms,
What Makes a Good Paid Time Off (PTO) Policy
The world of work has undergone some major transformation in recent years. From remote and flexible work to increased emphasis on employee benefits and wellbeing, companies nowadays have to be very intentional about their HR policies and how they approach talent acquisition.
Internal Recruiting: Benefits and 5 Internal Recruiting Methods to Consider
Internal and external recruiting are nearly the same thing. The biggest difference is where candidates are sourced. There are instances where external recruiting may be the best option. However, when you are presented with the opportunity to recruit internally, you should take full advantage of the different internal recruiting methods. Initially you will find that the hiring process gets a little bit easier. Then you'll notice all the other benefits that internal recruiting offers.
How to Answer the Interview Question: What is Your Communication Style?
As a job searcher, you probably have so many questions about job searching. However, once you've landed an interview, your excitement takes your questions to a whole new level. What will you wear? Will you know how to answer all the questions? Have you practiced giving nice firm handshakes?
What Makes a Company a Great Place to Work
After one too many after-hours emails, you’re on the hunt for a new gig. But what makes a company a great place to work? And how will you know when you find one? Finding a motivating, safe, and productive work environment is important for our mental and physical health. If you’re financially frustrated, creatively stuck, or just plain over it, it’s time to find a healthier workplace where you can flourish.
What Makes a Good Boss? The Top 12 Qualities & Attributes
Think back to the best boss you’ve ever had—does someone come to mind? We hope so! Okay, now think back to the worst boss you’ve ever had. I’m sure you can conjure up a few faces.
How Does Temp to Hire Work? Benefits, Concerns, & More
Whether you’re just starting out your career or are looking for the next opportunity, the job market has never been more burgeoning with opportunities. From flexible work options and freelancing gigs to seasonal and temp-to-hire work, people today are spoiled for choice when it comes to finding engaging and fulfilling work.