Looking for a Data science (or related) job?
If you're looking for the kind of role you might not find in a typical LinkedIn search, check here.
I'll be curating the best and most interesting job listings from my connections.
Most recent jobs will be at the top. I'll do my best to keep these up-to-date. Please note that these are not my job postings, so I am not responsible for content.
Data Scientist, Conde Nast
New York, NY
Condé Nast is home to many of the world's most-celebrated magazine and website brands. The company's reputation for excellence is the result of our commitment to publish the best consumer, trade and lifestyle content. Our brands include Vogue, Glamour, Vanity Fair, New Yorker, Wired, Epicurious, and many more. Passion is the core of our philosophy at Condé Nast. Our mission is not only to inform readers but to ignite and nourish their passions. We are seeking an experienced and highly motivated analytic professional to join our Data Science and Advanced Analytics team in our New York office. This individual will support enterprise initiatives on segmentation, personalization, and campaign forecasting/optimization through the in-depth, statistical & quantitative analyses of consumer data. More information here.
Fulcrum seeks a highly-motivated individual with applied or academic experience in a research field such as sociology, political science, or public health to join the team as a PartnerOps Research Manager. In addition to improving the overall research and data sophistication of Fulcrum and the PartnerOps team, the Research Manager will be taking over the design and implementation of our quarterly Quality assessments, as well as taking responsibility for our standard qualifications library.
More information here.
New Orleans, LA
As a social scientist reporting to the lead survey scientist or senior social scientist, you’ll work with team members to design survey instruments, run pre-tests, analyze data and manage execution of research projects. With ownership of research design and administration, you will manage survey project implementation to ensure that projects are completed on time and on a budget. The social scientist will support and manage key research deliverables such as large research studies, white papers, case studies, presentations and webinars, guidebooks, templates, roundtable discussions, or custom, in-bound research requests.
More information here.
The Analyst is responsible for ensuring the digital data NBCU uses to run the business is accurate across all reporting dimensions. The Analyst will engage with external partners and internal clients to determine data reporting structures QA processes and provide insights/reporting throughout the company.
More information here.
Analyst, Insights & Data Integrity
New York, NY
Data Science and Visualization Institute for Librarians
Raleigh, North Carolina
The Data Science and Visualization Institute for Librarians is a week-long course providing the opportunity for librarians passionate about research and scholarship to immerse themselves in learning about data science and visualization in collaboration with academic peers. Participants will develop knowledge, skills, and confidence to communicate effectively with faculty and student researchers about their data and be able to provide initial consultancy on the course topics. Led by expert instructors, sessions will be interactive and will focus on mastery of core concepts, with hands-on exposure to select open source and highly used commercial tools. Sharing of practices and experiences across institutions will be encouraged.
More information here.
Data Science Practicum, NBC Universal
New York, New York
Unlike a traditional internship, the Data Science Practica seeks to embed future Data Scientists in ongoing MSI projects within NBCUniversal. During their tenure, future Data Scientists will become active members of existing teams developing data science-related projects at NBCUniversal. Future Data Scientists will have specific responsibilities, goals and timelines, interdependent with the goals and timelines of the teams they are embedded in. Upon completing the Practicum, future Data Scientists will have gained experience in real-world projects on a typical data science environment, using state of the art data science tools, and a broad exposure to the media industry.
More information here.
Data Analyst, Marketing and Consumer,
San Francisco, CA
Everlane is seeking a Data Analyst to join our Data and Digital Marketing team, where you’ll help drive growth to the Everlane business through analysis and marketing strategy. We're focused on improving data-driven decision making across all aspects of customer acquisition and retention. The right candidate is a self-starter, and interested in tackling a lot of channels in a dynamic environment.
This person will support the strategy for acquisition of new customers via online and offline channels; including online acquisition, retargeting initiatives, affiliate marketing, and growth in our social network audiences. You will help determine our most efficient channels and drive spend to a six month payback. Additionally, this person will perform customer segmentation, product and other analysis to improve on-site conversion and customer retention rates. Lastly, this person will also provide key analytic support to other areas of the company such as engineering, site, merchandising and finance.
More information here.
Data Scientist, VICE
Data science is the foundation and future for VICE’s media business, by creating scalable solutions to help understand our rapidly growing global organization. This position will work in Vice’s fast-moving, creative, and fun work environment and offers unique ownership opportunities by creating new solutions that will be utilized across every department within VICE. This opportunity is part of VICE's Revenue Operations team where you'll partner with the product, ad product and editorial teams to manage VICE's various types of data sources, run experiments, and create new solutions for the business. More information here.
Fellowship, Data & Society Fellows Program
New York, NY
Data & Society is assembling its fourth class of fellows to join us from September 1, 2017, through June 30, 2018.This program is core to Data & Society’s dual mission of producing rigorous research that can have impact, and supporting and connecting the young but growing field of actors working on the social, cultural, and political effects of data.
The Data & Society fellowship is intended to produce public-facing outputs, to support fellows in engaging external actors – be they communities of practice, professional communities, a particular academic discipline, or the general public – and to foster collaborative activities within the D&S cohort and beyond that strengthen the fields in which we are working.
As we build a cohort for 2017-18, we’ll be prioritizing applicants who are excited about connecting with and contributing to these growing communities concerned with the effects of data on society. Put differently, this is not a fellowship program for those who want to spend a year in focused, independent research; rather, this is a program for people who can see the value of their work on a bigger stage and are looking for ways to create impact outside their own field.
More information here.
Junior Data Scientist, Federal Reserve Bank
New York, NY
The Junior Data Scientist is part of the practice within the Data Capabilities Office that provides high-value data and analytics consulting throughout the Bank (to Supervision, Statistics, Markets and Research and the Wholesale Products Office). This is an R&D position, with primary emphasis on Development. The Junior Data Scientist will work directly with business line applied data scientists and data wranglers to design and implement solutions. This is very much a hands-on role: Junior Data Scientists promote best practices for data management, data analysis and predictive analytics by example – data prep and management in SQL, AWK, Spark or Map-Reduce; Data analysis in R, Julia, Python, etc; Data visualization in Tableau. The successful candidate is expected to gather and understand requirements, communicate the value to the business line of a proposed solution, explain how the solution fits within the larger framework of the Bank’s data and analytics practice, conduct design reviews and field constructive criticism of the proposed design, and finally to implement the work product – either as an individual contributor or as part of a small team.
More information here.
Assoc. Director of Data Collection Services, University of Iowa
Iowa City, IA
The Public Policy Center at the University of Iowa seeks an Associate
Director of Data Collection Services at the Iowa Social Science Research
Center (ISRC). The ISRC is a resource for interdisciplinary social science
research that provides grant development support and data collection,
management and access services. Under the supervision of the Faculty
Director, the Associate Director of Data Collection Services will lead all
data collection activities for the center. This will include promoting ISRC
services on and off campus, managing data collection resources and
schedules, responding to bid requests and client inquiries, consulting on
data collection and survey strategies, and managing multiple projects. The
Associate Director of Data Collection Services will supervise a Project
Manager, Field Director, and Data Coordinator.
For more information, please see: http://ppc.uiowa.edu/careers
Analytics Summer Fellowship, City of Boston
Mayor Walsh’s Citywide Analytics Team brings the power of data to the City of Boston. We use data to tackle some of the City’s biggest challenges, from reducing firefighter injuries and combating foodborne illness to preventing overdoses and matching homeless residents to housing. As part of the Department of Innovation and Technology, we are at the forefront of the City’s efforts to apply modern technology and analytics to make life better for everyone who lives and works in Boston.
The Analytics Summer Fellowship is an opportunity to work closely with City leadership and staff to improve how Boston uses data every day. Our fellows play a vital role in developing special projects for the team — piloting new technologies, developing new tools, and testing innovative approaches to solving problems — to expand the range of areas that the team can work in. Some of our team’s greatest achievements have started out as fellow projects, and now we’re looking for new talents and ideas to help us discover what’s next.
More information here. Application Deadline: December 30th, 2016.
Part-Time Data Science Fellowship, The Messina Group
Messina Group Analytics is looking for part-time, paid fellows for our
growing data science team. Ideal candidates will be college juniors or
seniors, recent grads and possibly graduate students. We are looking for
people with at least some academic or practical background in data,
statistics or programming who also have an interest in social justice
and/or progressive politics.
It's a 15-20 hour per week commitment for six months and we will be
accepting applicants on a rolling basis. The job description is attached
and pasted below -- please feel free to forward this to your networks.
Interested individuals should complete the following form:
As I've previously posted, TMGA Is also recruiting for full time positions.
That application is available here: http://bit.ly/messina_datasci
Data Science Manager, IAC Publishing
We are looking for a manager for IAC Publishing Lab’s data science team. The data science team leverages techniques from natural language processing and data science to help drive breakthroughs in performance marketing and support the creation of engaging search and content experiences. As a leader in our technology organization, you will collaborate across the organization within a culture that values pragmatic solutions.
What you will do:
- Manage a team of PhD level data scientists, providing feedback and mentorship to the team
- Collaborate with the performance marketing, business intelligence, and data teams to drive solutions
- Be an authority within the organization on data science, NLP and machine learning
- Participate in defining strategic direction for the data science team
- Work with python, sklearn and big data technologies such as hadoop and spark
- Help ensure that we follow best practice in both data science and engineering
- Plan and drive data products to their completion, communicating results to leadership
Data Scientist, Lyst
Lyst is a technology platform that revolutionises the way people shop for fashion. We connect millions of consumers globally with the world’s leading fashion designers and stores, giving them a simpler, more engaging and more effective shopping experience. Lyst has grown over 300% every year since launch in 2011 and has raised over $60M from top-tier investors including Accel, DFJ, Balderton and the teams behind LVMH, Michael Kors and Oscar de la Renta.
Lyst are looking for a Data Scientist to solve problems for our Atlas team in terms of Data Quality and De-Duplication that forms the beating heart of our product.
Given the amount of data ingested daily and the many different ways we process it, there is a large margin for error, so we're looking for a problem solver to build models for automation of these tasks at scale.
Senior Data Scientist - Geospatial Analytics, Maxpoint
Austin, TX or Morrisville, NC
MaxPoint is a leader in the business intelligence space, processing over 12 trillion calculations and analyzing more than 40 billion digital bid opportunities daily. As a Senior Data Scientist, your work is central to keeping us at the forefront of our industry.
We are seeking data experts who are passionate about using cutting edge technology to solve unique problems. The ideal candidate is innately curious about how data can be used to tell a story and inform decisions. You enjoy searching for datasets to explore. You have honed your skills through a combination of education, work experience, and hobbies. You can embrace the messiness of creating new things.
If this describes you, we are interested. You can be an integral part of a cross-disciplinary team working on highly visible projects that improve performance and grow our product suite.
Trainee Analyst/Analyst, Data Science,
The Social Resource Centre
Established in 2000, the Social Research Centre is Australia’s leading provider of social research services, and is dedicated to conducting world-class research that informs decision-making and advances our understanding of Australian society. As a wholly owned subsidiary of the Australian National University (ANU), we enjoy unprecedented access to ANU researchers and ANU’s world class research environment.
We are looking for an Analyst or Analyst Trainee in the field of Data Science (commensurate with skills and experience), to join our Analytics team. The position will work alongside experienced data scientists, analysts and statisticians to produce and check client sample and data outputs as well as automate processes and improve systems. This is a full-time permanent position, based in our Melbourne offices.
Data Engineer/ Scientist, FinLeap
We’re FinLeap, a Fintech company builder based in Berlin and active in more than ten countries. Along with our passionate co-founders, we launch several startups per year. Here, people from many different backgrounds gather to shape the future of finance. We’re now looking for a Data Engineer/Scientist (m/f) to join one of our new ventures in the SME finance business.
As a Data Engineer/Scientist you're responsible for leveraging the magnitude of available data to drive smarter decisions for our customers. You'll contribute to building our credit decision engine, which will combine financial data with additional yet unutilised data. Join our team to work for a company with real applications within the field of big data.
Technical Researcher, NYC Dept of Housing Preservation and Development
New York, NY
The Technical Researcher will report to the agency’s Director of Research and Evaluation. The Technical Researcher will work with the Director and senior team members to facilitate the agency’s research agenda, as well as design and execute program evaluations and various statistical analyses in support of the team’s ongoing projects. S/he will process, manage, and analyze large complex datasets to ensure the highest standards of data quality and integrity. The Technical Researcher will work closely with the team to support new projects and develop analytic strategies that serve the needs of the agency. The ideal candidate is one who is able to learn independently, think and work collaboratively, practice strong research ethics, and exhibit a commitment to conducting research with the goal of improving public policy.
New York, NY
Data Scientists at 1010data are creative self-starters who are passionate about using technology to solve real world business problems and add substantial value to the company—we are looking for more people that fit this mold.
- Trusted advisor on the implications of data for products, processes, and decisions.
- Analyze massive data sets and gain unique industry insight using the 1010data platform
- Support blue chip clients in the use of the 1010data system
- Map client business issues to many data sets including the clients own
- Contribute to the creation of analytical products that combine the 1010data platform and hosted datasets
- Support sales and marketing as needed
Data Science Intern, Summer 2017,
Data Science Intern: The Civis Social Science Team empowers clients to make good decisions based on sound social science methods. The team is responsible for the execution
of survey research and serves as a clearinghouse for social science
expertise. As a social science intern, you’ll work with the team members to
help design research projects, program surveys, manage surveys in the
field, report on results, and support R&D initiatives. The intern will
conduct a research project over the course of the summer that contributes
to the development of new methodologies or tools used by the social science
We are looking for individuals from a wide range of backgrounds with
demonstrated quantitative and problem-solving skills. We value creativity,
hard work, and on-the-job-excellence. This is a paid internship. In
compliance with federal law, all persons hired will be required to verify
their identity and eligibility to work in the United States.
Public Policy Center at the
University of Iowa
Iowa City, IA
The Public Policy Center at the University of Iowa seeks a Research Assistant at the Iowa Social Science Research Center (ISRC). Under the
supervision of the ISRC Director, the person in this position will be
responsible for providing survey and data management to the clients of the
ISRC. This will include programming survey instruments in software such as
Qualtrics and WinCATI, pulling and preparing data sets, developing and
managing tracking systems, manipulating and preparing data, and contributing
to written reports. Ensuring the security and integrity of the data
gathering process will be of upmost importance. This person will also serve
as the Inter-University Consortium for Political and Social Research (ICPSR)
and Census Data contact for campus, as well as the point of contact for the
ISRC data haven.
For more information, please see: http://ppc.uiowa.edu/careers
To apply: See requisition 69773
Blizzard Entertainment is looking for a data scientist to join our business intelligence and risk team. The ideal candidate has a strong technical background in machine learning, data mining, statistics, or a related quantitative field and has the ability to carry out development using advanced statistical modeling techniques.
Develop state-of-the-art machine learning, data mining, and statistical modeling solutions to understand game design, system performance, and key business behaviors with guidance from senior leads.
Analyze and extract key insights and patterns from Blizzard's rich collections of petabytes of gameplay and operational data.
Collaborate and develop predictive models for applications like matchmaking, recommendation systems, targeted marketing, etc.
Effectively translate statistical findings into actionable recommendations for senior leaders on game design and business teams.
Analytics is Spotify’s data-driven intelligence unit. Leveraging our big and diverse data ecosystem, we combine cutting-edge science and engineering to craft foundational insights and platforms that impact all dimensions of Spotify.
We are looking for Data Scientists to join our Research team.
You will apply your scientific knowledge and engineering skills to analyze large volumes of complex data, model challenging problems, and develop algorithms to serve Spotify’s needs. You will work and experiment with state-of-the-art data processing and machine learning technologies. You will work in collaboration with other scientists and engineers across Analytics to design and build creative solutions to challenging problems. You will work on projects that cut across Spotify’s organization, including areas such as product, marketing, and content.
Harvard University is looking a Senior Project Analyst to work in the Office for Faculty Affairs.The OFA Senior Project Analyst position has been created to provide objective analysis for the senior academic leadership of FAS to inform decision-making and facilitate academic planning. The candidate reports to both the Dean for Faculty Affairs and the Associate Dean for Faculty Affairs and will need to build strong relationships with the faculty and the administrative leadership of the FAS. The Senior Project Analyst must develop insights on and solutions to critical strategic planning questions. The ideal candidate would have strong statistical skills, experience working with large data sets, and interest in studying academia.
The Messina Group
New York, NY
The Messina Group - http://themessinagroup.com/ - seeks data scientists to
join our growing Data Analytics team.
We are a consulting firm providing strategic guidance to campaigns,
organizations, and companies around the world. TMG’s analytics team works
with our clients to develop and implement practical quantitative solutions.
Our data scientists are involved in all stages of a consulting engagement,
including proposal creation, data collection and organization, analysis,
and reporting. We also serve as TMG’s research and development team,
devising methods and building tools to make our work more efficient and
more effective. Our culture is highly collaborative; we believe our work is
of the highest quality when everyone can learn and grow together.
To apply, please submit a résumé or CV to firstname.lastname@example.org.
GE Renewable Energy
As the program member of the Renewable Energy Development Program - Data Scientist Track, you will be responsible for designing, developing and testing software to create industrial internet products and services tailored to the needs of the GE businesses and external customers. You will be part of a cross-disciplinary development team of statisticians, computer scientists, software developers, domain experts, product managers, and end users, working in concert with customers and partners in the GE business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, and operations optimization. You will contribute to projects and processes in a variety of functions across the Renewables Business, including Sales, Commercial Operations, Product Line Leadership, Project Management Logistics, Sourcing, Field Services, Parts and Operations, and others.
Centre for Experimental Social Sciences, Oxford University
The main duties of the Research Officer and Assistant to the Director include: managing all aspects of the online and virtual lab experiments, including scheduling, assisting with the design of the experimental projects and managing the associated administrative tasks; providing research assistance to the Director of CESS, including managing large databases and programming in R, Stata, and in languages designed to acquire web content in machine-readable format (for example, Python) and related web sweeping and text analysis software; and assisting the Director with the CESS administration. In addition the Research Officer will be expected to engage in independent scholarly research and to take part in the intellectual life of the Nuffield CESS and the College.
At Monsanto we are seeking a creative, highly motivated Data Scientist to join a team of world-class experts in genomics, microbiology and data science and participate in challenging research projects with real-world impact, feeding a growing planet while conserving our natural resources . In this role you will leverage your skills to collaborate on cutting edge research projects involving machine learning, graph analysis, data visualization and bioinformatics API development. This is a fantastic opportunity to gain hands on experience working with next generation sequencing, Omic, microbiology and crop phenotype data in high-performance computing and cloud environments.
My firm, BlueLabs, is currently hiring data analysts, data scientists, and
lead data scientists. We at BlueLabs explore problems ranging from
encouraging greater civic engagement to increasing access to healthcare to
improving efficiency in outreach efforts. The lead data scientist positions
would be an excellent fit for PhDs who wants to apply their methodological
training to such problems, while the data analyst positions would be a good
fit for recent undergraduates with some statistics background who want to
promote social good.
More information about BlueLabs and the open positions can be found at:
We are looking for a Natural Language specialist, working with Python to develop and improve the text analysis component of our platform. Specifically, you will need to use Named Entity Recognition, Relation Extraction, Entity Linking and other natural language processing and machine learning techniques in order to extract names and metadata of individuals from large data sets. You will be working as part of an engineering team, charged with harvesting and analysing as much data as we can make use of.
Hillary for America
There are multiple positions at Hillary for America - here's one example:
We are looking for Data Scientists, Modeling Analysts, and Survey Methodologists to join our team at our Brooklyn, NY headquarters. They will play a pivotal role in developing data-driven strategies for key primary and battleground states. They will be responsible for designing and building predictive models, field and digital experiments, and research methods. By utilizing their statistical expertise, they will dissect large datasets, synthesize results and present findings to team leaders.
TASKS & RESPONSIBILITIES
- Build and validate predictive models for voter behavior to ensure efficient voter contact
- Develop methods to help optimize fundraising outreach efforts
- Design, implement, and analyze experiments across various campaign channels
- Developing and improving campaign survey methodology
- Producing analyses to help the campaign allocate resource more efficiently
- Mining text data to improve the campaign’s communication with voters
Pew Research Center
Join the Data Labs team, a new group within the Center that uses cutting edge data science and computational methods to contribute to our ongoing research in our key areas: politics; religion; journalism; science and technology, Hispanics; social trends; and global attitudes. The fellowship is offered as a one-year program. The fellowship will provide incumbents with an opportunity to learn about and work with industrial data science tools while pursuing their own research. We encourage fellowship participants to work with a large data repository of communication and government data that the Data Labs team has collected.
New York, NY
The CBS News Election and Survey Unit is seeking a Senior Survey Associate. This is an opportunity to work with some of the most experienced people in the field during an exciting presidential election year and contribute to CBS News’ election night broadcast. The Associate will participate in the unit’s pre-election coverage, including support work developing poll samples, statistical forecasts and models; work with past election data, voter files and other large data bases, as well as survey files; prepare background/supporting documents for election nights, including past exit poll trends (national and state), and historical trends on elections; assist unit personnel in developing and maintaining CBS News Polls, including data checking, compiling trend data, and maintaining a poll database. Experience working with databases, statistical software packages and programming are all big pluses. A Master’s degree is preferred, but not required.
The Research Analyst I will be part of a growing team at the Center for Education Policy Research (CEPR) at Harvard University. CEPR is a unique partnership among districts, states, foundations, and university-based researchers designed to leverage the overwhelming amount of newly available school-, teacher-, and student-level data to address previously intractable policy questions in education and improve educational outcomes for all students. The Research Analyst I will be a key member of the CEPR team, helping education leaders around the country to learn what’s working and what’s not in education. The Research Analyst’s primary responsibility is to work, as part of a team, to conduct analyses that support the work of Center, including assessing the effectiveness of school level interventions (e.g., education software, afterschool programs, professional development, etc.). Amongst other work, the Research Analyst I will be deeply engaged in CEPR’s Proving Ground project. All candidates must apply through ASPIRE, Harvard's Recruitment Management System. Click on the "Search Openings" link and find CEPR job opportunities by searching with the keyword "CEPR" or with the Auto Req ID (40356BR).
New York, NY
Come help us revolutionize digital media! Dow Jones is currently hiring “get-things-done” technologists with all levels of experience to help reinvent the way we develop products and deliver best in class digital solutions to all of our customers. The Experiment Data Analyst / Statistician will help plan and analyze experiments that will help shape the Dow Jones & Wall Street Journal subscription business model. The candidate will be embedded in the Data Science and Data Analytics groups, and will work closely with cross-functional teams to deliver high-impact insights from experiments and analyses. This is an intermediate level role for someone who is motivated and is a self-starter, requiring minimal supervision to complete tasks and is able to work well with cross-functional stakeholders with varying degrees of understanding of statistics and data science. We are interested in a candidate who has a strong interest in learning about online journalism and the digital advertising world. This is an excellent opportunity for someone who wants to work on high-impact business problems.
The Advanced Data Analytics Program (ADAP) Statistician will assist in the development and maintenance of the OIG data analytics platform and efforts; facilitate data merging and transformation in preparation for analysis by planning the process and either executing directly or training others to implement directly; work with teams to define metrics, guidelines and strategies for effective use of algorithms and data; conduct advanced statistical analysis; explain and performs a variety of statistical and data analysis techniques; provide outcomes and recommendations of analysis for future data analysis; prepare or direct the preparation of reports in the form of presentations of data with narrative descriptions of methodology and findings; monitor and coordinate administrative matters relating to data acquisition, data cleansing, data loading and predictive analysis information; monitor and coordinate contract consultants/resources as necessary to complete job duties.
The Federal Reserve System is looking to hire students that will be completing their graduate program in a quantitative field for our new Quantitative Fellowship Program. The QFP is a two-year rotational program designed to develop candidates with strong analytical skills into full-time quantitative analysts within the Federal Reserve System. As a Fellow, you will have the opportunity to work on-site at multiple Reserve Banks across the Federal Reserve System, including the Board of Governors location in Washington D.C. You will interact directly with financial institutions, gain valuable cross-firm perspective on modeling challenges, and be involved in helping senior Federal Reserve officials make informed decisions. We will be accepting applications starting in October for a July 2017 start. Full information on the program can be found in the link. Don’t hesitate to reach out to reach out to Alison Walters (phone: 612-204-5327 email: Alison.Walters@mpls.frb.org) with questions.
San Jose, CA
I am looking for interns that would like to do practical work in Adobe around the topic of causal inference via matching. We have an open position starting asap on a project in digital marketing. The project is about comparing past campaigns, where the idea is that a correct comparison should first correct for confounding (since campaign emails reach different people that are typically not randomly chosen). There will probably be patents coming out. Here’s a blog post by a current intern.
Please contact: Nikos Vlassis: https://sites.google.com/site/nikosvlassis/
New Orleans, LA or remote
The data consultant is responsible for building a multi-level regression model to project the outcome of the 2016 Presidential and US Senate elections by state. This position plays a critical role for a start-up team within the company. Lucid is based in New Orleans but the position may be remote. The duration of the consultancy is specified by the demands of the assignment.
Division of Transplantation
"The Division of Transplantation at the Health Resources and Services Administration provides oversight of organ transplantation and blood stem cell transplantation in the United States.
We are posting a job opportunity on 15 August looking for a statistician. This job is somewhat unique in that the statistical work that we do is in support of public health policy, and so I am hopeful to find someone with a broader background and interest than strictly as a mathematician. Because of the specialized interest we are seeking, I am reaching out to try to find such candidates who may not be routinely checking USAJobs."
Stanford Immigration Policy Lab
Palo Alto, CA
The Stanford Immigration Policy Lab (IPL) seeks to address the inequalities faced by immigrants in order to improve their lives and our communities. We use a set of advanced analytical tools and rigorous data-driven methods to systematically understand the causal impacts of the diverse policies and programs that affect immigrants throughout the world. We evaluate policies and programs to inform the policy-making community. Our faculty and team of researchers work in a highly collaborative environment. We directly engage community-based organizations and local, state and federal governments to test the effectiveness of policies that ultimately impact millions of immigrants and the economic and social prosperity of the countries where they live. We provide reliable knowledge about whether programs work, fail, or backfire, and for whom and why. This knowledge helps to inform ongoing policy debates and to design more effective immigration policies for the future. We are growing rapidly and are looking for energetic and highly motivated individuals to join our team.
Lead Data Scientist: https://stanfordcareers.stanford.edu/job-search?jobId=72054
Communications Director: https://stanfordcareers.stanford.edu/job-search?jobId=72050
Research Program Manager: https://stanfordcareers.stanford.edu/job-search?jobId=72051
Colorado Springs, CO
Schafer Corporation has an immediate requirement for a Data Management Analyst will support the JRDC program at Schriever AFB, CO. The JRDC Data Management Analyst's duties will vary depending upon the particular project, but will be related to the development of Extract, Transfer, Loads (ETL), data analytics research, collection and analysis of data, data triage, statistical and qualitative analysis for the JRDC Data Analysis and Data Management effort in supporting the Missile Defense Integration & Operations Center (MDIOC) and Missile Defense Agency (MDA) Enterprise with its facilities, IT Services, and BMDS.