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Jobs Posted on the Whova Community Board of Women in Data Science Cambridge

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Data Science Intern
Tagup Inc
Develop machine learning models to make the machines that power the world safer, more reliable, and more efficient. We're a small start-up looking for big talent; come find me at WIDS Cambridge!
Link: https://hire.withgoogle.com/public/jobs/tagupio/view/P_AAAAAAFAAGvMJvR_MnrMZA
DataOps Engineer
Tamr Inc
Tamr field engineers are highly technical data scientists and engineers who understand all aspects of the business. We know how to pitch the product to anyone from software architects to business executives. Often we’re working on the most challenging problems in the enterprise and we have to dig deep to understand the business value and deliver technical solutions.

As the company’s outward-facing, technical resource, the work of the whole group is varied. We build prototypes, direct product development, work with sales on accounts, implement pilot solutions, and deploy full production rollouts. Field engineers are expected to be highly efficient and resourceful when leading these projects.

Qualifications

We are looking for someone who loves to write code, and has a genuine interest in being customer-facing. We are building and selling a human-in-the-loop machine learning platform for the enterprise to help companies automatically unify and categorize their data to drive new analytic insight. We are looking for engineers interested in creating front line code to solve real customer problems, ranging from back-end data processing and machine learning, to front end presentation and dashboarding.


Challenges that make this job interesting:

The problem we’re solving is hard - enterprise data is messy and there is a lot of it. It’s our job to derive value from this data in a flexible and scalable way

Every customer is different - while there are similar use cases that we see repeatedly, every account presents new challenges and we need to be able to adapt quickly to each new situation

This job might be a good fit for you if:

You have strong data science and/or software engineering experience

You are excited about working for a startup and being a key contributor

You enjoy working with customers and have excellent interpersonal skills

You have machine learning knowledge/experience
Link: https://jobs.lever.co/tamr/e8b42471-b5a2-4128-a39e-d28d1de5b994
Manager, Customer Success Management
Tamr Inc
Job Description

We are looking for a Manager of our Customer Success team in the Boston area.  Our Customer Success team partners with our clients to deliver transformational business outcomes.  Working with some of the largest companies around the world (Global 2000), our CSMs pride themselves on not only building good relationships but also providing strategic advice - connecting clients with best practices and other companies solving similar challenges.   Our ideal manager for the Customer Success team is a partner to other groups within Tamr and to our customers, helping both sides define and deliver on new opportunities.

Responsibilities:

Responsible for hiring, training, coaching, and leading a team of (CSMs). You will lead a team focused on driving customer loyalty and delivering business value to our customers.

Lead a team that is dedicated to delivering a remarkable total customer experience

Support and direct new and experienced CSMs in strategies to build durable customer value

Serve as a coach and a leader, helping to develop the skills of your team as they grow in their career

Manage day-to-day operations of your team including: maintaining an accurate customer health forecast, managing escalations from your direct reports, ensuring the delivery of high quality engagements throughout the customer life-cycle, and ensuring teams properly document activities in a timely manner

Analyze customer and performance data to make informed decisions about operational and process changes

Support the creation and implementation of broader Customer Success-wide initiatives in conjunction with Growth,  Marketing,  Professional Services, Product, and Solutions teams.  
Link: https://jobs.lever.co/tamr/5ff7477d-78ad-4646-beca-d1ce82c93476
Technical Account Manager
Tamr Inc
Job Description

A Tamr Technical Account Manager (TAM) is a customer facing data evangelist. As a TAM you will provide advice and answers to technical questions that are key to business goals from an assigned small number of high value customers in the Fortune 2000 companies. You will sit in on customer meetings, keep up to date with customer projects, and provide guidance on the best ways in which Tamr products can be used to help accomplish technical objectives towards fulfilling client business goals. As a TAM you will be the first point of contact at Tamr for technical questions from your assigned top-tier customers. You will help create, develop, and maintain good relationships with senior management at customers, as well as seek out new opportunities where we can help fulfill business goals.    

Challenges that make this job interesting:

We are solving a difficult problem - how to organize and maintain vast amounts of data such that a customer can utilize that data to meet business needs

Every customer has different data requirements. Thinking outside the box is a must, and there is no one-size-fits-all solution

We are revolutionizing how clients think about their data, meaning that we have large impacts at G2000 companies that extend far beyond just our direct engagement with the customer

This job might be a good fit for you if:

You enjoy interacting and building relationships with clients

You have a passion for building long term solutions to technical problems

You are excited to work at a growing company where you will have large impacts
Link: https://jobs.lever.co/tamr/bb348ae8-d3f7-45cf-97cf-e17ef819ba02
DataOps Engineer - London, UK
Tamr Inc
Job Description

Tamr field engineers are highly technical data scientists and engineers who understand all aspects of the business. We know how to pitch the product to anyone from software architects to business executives. Often we’re working on the most challenging problems in the enterprise and we have to dig deep to understand the business value and deliver technical solutions. As the company’s outward-facing, technical resource, the work of the whole group is varied. We build prototypes, direct product development, work with sales on accounts, implement pilot solutions, and deploy full production rollouts. Field engineers are expected to be highly efficient and resourceful when leading these projects.



Qualifications

We are looking for someone who loves to write code, and has a genuine interest in being customer-facing. We are building and selling a human-in-the-loop machine learning platform for the enterprise to help companies automatically unify and categorize their data to drive new analytic insight. We are looking for engineers interested in creating front line code to solve real customer problems, ranging from back-end data processing and machine learning, to front end presentation and dashboarding.


Challenges that make this job interesting:

The problem we’re solving is hard - enterprise data is messy and there is a lot of it. It’s our job to derive value from this data in a flexible and scalable way

Every customer is different - while there are similar use cases that we see repeatedly, every account presents new challenges and we need to be able to adapt quickly to each new situation

This job might be a good fit for you if:

You have strong data science and/or software engineering experience

You are excited about working for a startup and being a key contributor

You enjoy working with customers and have excellent interpersonal skills

You have machine learning knowledge/experience
Link: https://jobs.lever.co/tamr/99bfe3f2-5996-437a-a38a-c18c8f49cf9b
Senior Technical Writer
Tamr Inc
At Tamr we envision a world where people in large enterprises consume accurate, up-to-date, unified data distilled from many silos to deliver transformational outcomes. Our mission is to enable large enterprises to unify key data to realize maximum strategic and operational benefit.


We are currently looking for a Senior Technical Writer to be the second member of our documentation team as we continue to evolve the Tamr platform. With our growing customer base and increasing demand for additional services, we are adding to our documentation team. 


As part of our Cambridge, MA-based team, you’ll establish the documentation practices at Tamr, and drive documentation initiatives that will help Tamr customers use the product.

As a member of the Tamr team some of the projects you will be working on are:

Creating developer-level documentation, including code samples and diagrams  that describe how to use Tamr microservices and APIs that drive various Tamr jobs, such as schema mapping, data mastering, backups, cluster generation, and creation of golden records.

Working together with the existing technical writer to create and maintain a holistic documentation set.

Collaborating with the engineering, product, marketing, and customer success teams to ensure content is comprehensive, helpful, and accurate.

Working in a modern documentation toolchain, consisting of Markdown and Git. Also, making changes to the toolchain, such as moving to the in-house production environment with continuous integration and publishing.

Working on micro videos, facilitating blog posts, in-context and in-product guidance (context-sensitive help), and using tools, such as Intercom or Appcues to create guided product tours.
Link: https://jobs.lever.co/tamr/c4e712ef-83d3-4208-8a8b-1d54cff98e9b
Technical Writer
DataRobot
The DataRobot documentation team serves two masters. First, we play a vital role in getting our customers up and running quickly and making sure that the details of our products are clearly described and easy to understand. We are also the internal go-to resource for the latest information on the DataRobot application. In short, we create world-class documentation to increase prospect conversion, customer adoption, and self-paced education.

The ideal candidate has technical chops, demonstrably strong communication and writing skills, and can effectively interact with other writers, software developers, data scientists, product managers, and project leads. You must be equally comfortable arguing the Oxford comma (include, of course), UI consistency, and confusion matrices. We are looking for writers with experience making complex ideas understandable who can thrive in a fast-paced startup-like environment. .

Responsibilities

Produce high-quality documentation for web-based applications
Publish weekly Release Notes for our Cloud-delivered software for delivery to a broad group of internal and external partners
Produce how-tos, tutorials, user guides, and knowledge base content
Write software documentation from technical specifications, discussions with developers, and hands-on experimentation
Contribute to doc standards, including participating in peer editing
Update existing docs to reflect changes to functionality
Edit existing developer-written content in preparation for publication
Link: https://www.datarobot.com/careers/job/1948084/
Senior Data Engineer
MGH & BWH Center for Clinical Data Science
Apply online https://www.ccds.io/job-openings/?gh_jid=4093171002
Link: https://www.ccds.io/job-openings/?gh_jid=4093171002
Technical Sales Engineer (Presales)
Tamr
Tamr sales engineers are highly technical data scientists and engineers who understand all aspects of the business. We know how to pitch the product to anyone from software architects to business executives or CDOs. Often we’re working on the most challenging problems in the enterprise and we have to dig deep to understand the business value and deliver technical solutions. As the company’s outward-facing, technical resource, the work of the whole group is varied. We build prototypes, direct product development, work with sales on accounts, and scope and implement pilot solutions. Sales engineers are expected to be highly efficient and resourceful when leading these projects. 


We are looking for someone who loves to write code, and has a genuine interest in being customer-facing. We are building and selling a human-in-the-loop machine learning platform for the enterprise to help companies automatically unify and categorize their data to drive new analytic insight. We are looking for engineers interested in creating front line code to solve real customer problems, ranging from back-end data processing and machine learning, to front end presentation and dashboarding.
Link: https://jobs.lever.co/tamr/56bb0a77-ce86-4166-a9b3-ac4dfbc7a287
Data Scientist
Booz Allen Hamilton
Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection, to cancer research, to national intelligence — you know the answers are in the data.

We have an opportunity for you to use your analytical skills to improve client operations, processes, and environments. You’ll work closely with your customer to understand their questions and needs, then dig into their data-rich environment to find the pieces of their information puzzle. You’ll develop algorithms, write scripts, build predictive analytics, use automation, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help senior leadership make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in both the private and public sectors.

Empower change with us.
Link: https://careers.boozallen.com/jobs/JobDetail/Washington-Data-Scientist-R0068879/15370
Data Analyst Researcher
MIT NEWDIGS
The MIT NEWDIGS LEAPS Project is looking for a Data Analyst researcher to support a research project through September 1, 2020. This short-term role is flexible with regard to level and could lead to further work with the LEAPS Project based on the interests of the individual and the needs of the project. This role could be filled by a student seeking a master’s degree with substantial big data experience with guidance from LEAPS personnel or an individual with prior experience in health claims data analysis functioning more independently.

Responsibilities:
• Partner with IT and LEAPS project personnel to transform, structure and analyze appropriate data from the Massachusetts All-Payer Claims Database (APCD)
• Design and execute a protocol to extract a cohort of patients with Rheumatoid Arthritis (RA) and subgroups as appropriate
• Tabulate, summarize and analyze the APCD RA extract to support ongoing efforts of the LEAPS modelling and simulation team.
o Develop appropriate analytical cohorts based on claims continuity and disease stage
o Analyze clinical and demographic characteristics of RA patients and distribution of treatment utilization overall, by major payer entity, by provider type and over time
o Examine prescribing patterns across provider types, geographic distribution and compare with treatment guidelines
o Examine changes in treatment overall and for large payer entities and examine proximal causes of changes in treatment including changes in provider, insurer, or health events

Requirements:
• Experience in data wrangling and working with big data
• Experience in programming (e.g. SAS, Python, R, PostgreSQL)
• Experience in standardizing complex datasets
• Familiarity with basic statistical modeling
• Attention to detail
• Good communications skills and documentation practices
• Ability to work independently

Preferences:
• Experience working with healthcare claims data and RA or related diseases
• Knowledge of the US Healthcare system
Link: https://newdigs.mit.edu/
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