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Locus Analytics is Hiring Data Summer Interns, Data Analytics, & Machine Learning Specialists Full-time

Locus Analytics, a small systems economics research firm in New York is hiring for the following positions:

Data Summer Internship

Locus Analytics, a research firm in New York City, studies the network of relationships within the
global economy. Locus has developed methods incorporating linguistics, complex systems, and
graph theory for analyzing large, unstructured datasets. This methodology is used to model
economic interactions at all scales, from small informal enterprises to major technology
conglomerates. We have used our proprietary classification system to construct a database that
indexes thousands of companies worldwide.
Interns collaborate in small teams, each tasked with projects and assigned a mentor from the Locus
team. In previous summers, interns have pursued a wide variety of projects and questions designed
around their skill sets. These have included creating standardized profiles of zip codes based on
their makeup of economic functions and census data, developing data visualization prototyping
tools, and clustering and classification machine learning projects. This is a unique opportunity to help
build a project from the beginning — each team is entrusted with planning and executing its own
end -to- end project strategy from design and implementation to testing and presentation. As a part of
this team, you will have the chance to experience what it is like to completely ideate and realize a
project and it’s goals and will be a valued and trusted member of our team.
Applicants should be prepared to answer technical, experiential, and situational interview questions.
No finance or economics background required
Minimum Requirements
● Strong quantitative skills
● Strong ability in at least one general purpose programming language (e.g. Python, C++,
Java, etc.)
● Excellent problem-solving skills
● Excellent verbal and written communication skills - ability to communicate technical concepts
to non-technical audiences
Desired Skills
● Experience in designing and implementing statistical models using machine learning
techniques
● Expertise in graph and network theory
● Hands-on experience with medium to large datasets (i.e. data extraction, cleaning, analysis
and presentation).
+Pay is competitive.
+Locus will cover all visa expenses for international students.
+The internship will last approximately 10 weeks beginning in mid-June.
+Please direct any questions to apply@locus.co
+To learn more about Locus Analytics, we invite you to visit our website at home.locus and our first
public application, maps.locus.
+We ask that you submit only one application to Locus, as we will consider you for other roles if we
see a good fit. There is a field in the application to indicate interest in other roles.

Data Analytics - Full Time

Locus Analytics, a research firm based in New York City, studies networks of relationships
between businesses, jobs, products, and other economic entities. Drawing from linguistics,
systems sciences, and graph theory, Locus has developed a universal framework for
systematically describing economic entities across industry, scale, and geography. Existing
economic datasets are highly fragmented, inconsistently structured, and opaque. Our mission is
to use our technology to make the world’s economic data broadly accessible and readily
navigable.
We apply the Locus framework and resulting databases in various domains, ranging from novel
methods of risk management in portfolios to software tools for entrepreneurs. Moving forward,
we hope to make our framework available to innovators who will apply it in new and exciting
ways.
We are seeking a candidate with strong analytical skills to help us both demonstrate and further
develop the utility of the Locus economic framework in data analysis. As part of our team, you
will build tools using census, labor and company information, that enable small companies and
local governments to better understand their place in the vast economic system. You will help
build targeted predictive and descriptive algorithms that help these organizations make
decisions.
Strong candidates will be proficient in a general purpose programming language and possess a
solid understanding of statistics. They will be able to integrate data from many sources of
various types, and have a strong aptitude for giving structure to these multi-attribute data so that
they can tell clear, compelling stories. They can also communicate complex ideas and
discoveries through simple and creative visualizations.
No prior experience with economic data is necessary, but experience in experimental
design is a plus.
We welcome students in their final year of academic study as well as postgraduate,
professional, postdoctoral, and faculty applicants.
Minimum Requirements
● Strong quantitative skills
● Demonstrable skill in general purpose programming language (e.g. Python, C++, Java,
etc.)
● A degree in mathematics, statistics, computer science, physics, bioinformatics,
computational neuroscience, software or related fields
● Strong communication skills and an interest in working in an interdisciplinary and
collaborative environment
Preferred Requirements
● Experience in building software tools in a highly collaborative environment
● Experience in machine learning and/or predictive analytics
Preliminary Technical
● Candidates are required to take a brief, online technical in the language of their choice.
This quiz has a 15 minute time limit and is designed to test the candidate’s ability to use
code to quickly problem solve.
● **Please note that applications will NOT be considered without a response to this
quiz.**
● Please use the link below to access the preliminary technical -
https://www.flexiquiz.com/SC/N/locus_technical_round_1
+Pay is competitive.
+Please direct any questions to apply@locus.co
+To learn more about Locus Analytics, we invite you to visit our website at home.locus and our
first public application, maps.locus.
+We ask that you submit only one application to Locus, as we will consider you for other roles if
we see a good fit. There is a field in the application to indicate interest in other roles.

Machine Learning Specialist - Full Time

Locus Analytics, a research firm based in New York City, studies networks of relationships
between businesses, jobs, products, and other economic entities. Drawing from linguistics,
systems sciences, and graph theory, Locus has developed a universal framework for
systematically describing economic entities across industry, scale, and geography. Existing
economic datasets are highly fragmented, inconsistently structured, and opaque. Our mission is
to use our technology to make the world’s economic data broadly accessible and readily
navigable.
We apply the Locus framework and resulting databases in various domains, ranging from novel
methods of risk management in portfolios to software tools for entrepreneurs. Moving forward,
we hope to make our framework available to innovators who will apply it in new and exciting
ways.
We are seeking a curious and creative candidate with a background in machine learning to build
tools that translate and organize the world of unstructured economic information. To date, our
translation process has been primarily manual; we have classified thousands of global
companies in relation to one another using the Locus Framework. The Machine Learning
Specialist will apply natural language processing techniques and methods in machine learning
to automate the process of classifying companies, jobs, and other economic data.
Strong candidates will have general knowledge of different techniques applied in machine
learning and proficiency in a general purpose programming language. They will collaborate as
part of a team to develop algorithms, methods, and tools to explore, collect, and organize the
world of economic information. The inputs to these models will incorporate various types of
data, as information about the economy ranges from numeric to textual (structured or
unstructured). No prior experience with economic data is necessary, although experience
building models that integrate diverse data types is a plus.
Minimum Requirements
● Strong quantitative skills
● Demonstrable skill in general purpose programming language (e.g. Python, C++, Java,
etc.)
● An undergraduate degree in mathematics, statistics, computer science,, physics,
software engineering, or related fields
● Strong communication skills and an interest in working in an interdisciplinary and
collaborative environment
Preferred Skills
● Experience in designing and implementing statistical models using machine learning
techniques
● Experience in doing analysis in a highly collaborative environment
Preliminary Technical
● Candidates are required to take a brief, online technical in the language of their choice.
This quiz has a 15 minute time limit and is designed to test the candidates ability to use
code to quickly problem solve.
● **Please note that applications will NOT be considered without a response to this
quiz.**
● Please use the link below to access our preliminary technical
● https://www.flexiquiz.com/SC/N/locus_technical_round_1
+Pay is competitive.
+Please direct any questions to apply@locus.co
+To learn more about Locus Analytics, we invite you to visit our website at home.locus and our
first public application, maps.locus.
+We ask that you submit only one application to Locus, as we will consider you for other roles if
we see a good fit. There is a field in the application to indicate interest in other roles.

Senior Machine Learning Specialist - Full Time

Locus Analytics, a research firm based in New York City, studies networks of relationships
between businesses, jobs, products, and other economic entities. Drawing from linguistics,
systems sciences, and graph theory, Locus has developed a universal framework for
systematically describing economic entities across industry, scale, and geography. Existing
economic datasets are highly fragmented, inconsistently structured, and opaque. Our mission is
to use our technology to make the world’s economic data broadly accessible and readily
navigable.
We apply the Locus framework and resulting databases in various domains, ranging from novel
methods of risk management in portfolios to software tools for entrepreneurs. Moving forward,
we hope to make our framework available to innovators who will apply it in new and exciting
ways.
We are seeking a curious and creative candidate with a strong machine learning background to
build tools that translate and organize the world of unstructured economic information. To date,
our translation process has been primarily manual; we have classified thousands of global
companies in relation to one another using the Locus Framework. The Machine Learning
Specialist will apply natural language processing techniques and methods in machine learning
to automate the process of classifying companies, jobs, and other economic data.
Strong candidates will have general knowledge of different techniques applied in machine
learning and proficiency in a general purpose programming language. They will have the ability
to develop algorithms, methods, and tools to explore, collect, and organize the world of
economic information. The inputs to these models will incorporate various types of data, as
information about the economy ranges from numeric to textual (structured or unstructured). No
prior experience with economic data is necessary, although experience building models that
integrate diverse data types is a plus.
We welcome candidates in their final year of academic study at the graduate level, as well as
postgraduate, professional, postdoctoral, and faculty applicants.
Minimum Requirements
● Strong quantitative skills
● Demonstrable skill in general purpose programming language (e.g. Python, C++, Java,
etc.)
● A degree in mathematics, statistics, computer engineering, computer science, physics,
bioinformatics, computational neuroscience, software engineering, or related fields
● Experience in designing and implementing statistical models using machine learning
techniques
● Strong communication skills and an interest in working in an interdisciplinary and
collaborative environment
Preferred Requirements
● A masters or PhD in mathematics, statistics, computer science, physics, bioinformatics,
computational neuroscience, software engineering, or related fields; and/or 2+ years of
experience in analytics role
● Experience in doing analysis in a highly collaborative environment
Preliminary Technical
● Candidates are required to take a brief, online technical in the language of their choice.
This quiz has a 15 minute time limit and is designed to test the candidates ability to use
code to quickly problem solve.
● **Please note that applications will NOT be considered without a response to this
quiz.**
● Please use the link below to access our preliminary technical
● https://www.flexiquiz.com/SC/N/locus_technical_round_1
+Pay is competitive.
+Please direct any questions to apply@locus.co
+To learn more about Locus Analytics, we invite you to visit our website at home.locus and our
first public application, maps.locus.
+We ask that you submit only one application to Locus, as we will consider you for other roles if
we see a good fit. There is a field in the application to indicate interest in other roles.