Mid Level Boston Startup and Tech Jobs

4

Web Analytics Developer

ASICS Digital
Greater Boston Area
1 week ago
+44
Work with different(marketing, analytics, development) teams across the organization and tackle pixel/tag implementation requests in an efficient way within a tag manager (TealiumIQ). Use browser web debugging tools to perform tag validation and QA. Perform Tagging audits/data integrity checks on a regular basis to have better control over the tags deployed across the sites. Document and maintain a copy of tagging requests from the different teams. Use mobile proxy tools like Charles/Fiddler to validate analytics tagging across mobile applications and mobile web tagging. Collaborate with different vendors(marketing, social media, affiliates, etc.) to understand different analytics implementation techniques and suggest implementation best practices based on well defined organization standards.

Technical Project Manager

Kensho Technologies
Cambridge
1 week ago
+24
As a Technical Project Manager on Kensho’s transformative technology projects, you will be responsible for balancing flexibility and structure to ensure projects are delivered on time and produce the desired results, while allowing for quick change and adaptation in a fast paced development environment.

Machine Learning Engineer

Kensho Technologies
Cambridge
1 week ago
+24
As a Machine Learning Engineer, you will be responsible for tackling a wide range of problems from natural language processing to timeseries prediction. You will move beyond the theoretical confines of academia and apply your tradecraft to build machine learning systems on real world data. In this role you will constantly collaborate and work with groups of engineers. Our machine learning team is responsible for delivering ML-based solutions from problem framing, to prototyping, to production application. 

Machine Learning Engineering

Gravyty
Newton
2 weeks ago
You are a strong software engineer with either past experience with machine learning and broader artificial intelligence techniques, or a deep desire to expand into Analytics and Data Science. You thoughtfully develop beautiful code and are looking to work with other exceptional engineers, data scientists, and a tech-focused management team in a fast-paced startup environment. You can't help shake the idea that artificial intelligence, machine learning, deep learning, and similar concepts are poised to change the world - and you want to be part of the action.

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