Data Science Staffing Search in Nashville

SOLUTION 1

Explore the benefits of data science nearshoring

Costa Rica is a technology hub with an emerging opportunity in data science.

We partnered with a leader in nearshoring to realize this opportunity

Large talent pool of data science professionals

Conveniently located in the same timezone as the US

Most resources are available on-demand

Resources are bilingual in English and Spanish

Resources usually cost less than comp resources in US

It’s easy to request a data science resource. Call or email us or spend a minute to fill out a form. We’ll be in touch soon!

Please be sure to check out our data science profiles below.

Data Science Staffing Search in Nashville

Costa Rica is an emerging technology hub with a growing

data science landscape.

Explore the benefits of nearshoring

We have partnered with a leader in nearshoring

to realize this unique opportunity.

Extensive talent pool of data science professionals

Conveniently located in multiple US time zones

Most resources are available on-demand

Personnel are bilingual in English and Spanish

Resources usually cost less than comparable resources in the US

We’re proud to partner with Novacomp, a leader in technical recruiting.

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Staffing FAQs

What is nearshoring?

Nearshore outsourcing is a practice where businesses hire services from companies in adjacent or nearby countries. Our nearshoring partner is based out of Costa Rica.

Who is newData’s partner?

A leader in nearshoring since 1987

What is newData’s role?

newData helps match the business’ job requirements with the right data science professionals offering a single point of contact
newData is a fully insured limited liability company that guarantees our clients’ satisfaction with all the solutions we offer

Why nearshore data science?

Large pool of technical talent
Consultants are available on-demand
Bilingual in English and Spanish
Based out of Costa Rica on US timezone
Costa Rica shares many values with US
Lower cost than US-based outsourcing
Proven expertise in nearshoring

Why is Costa Rica a talent hub?

Stable politically and economically
Ranks high for technical education
English is commonly spoken
Home to hundreds of tech companies
Flourishing medical technology
Draws talent from Central & South America

What is Costa Rica’s timezone?

Costa Rica is UTC -6

- Mountain Standard Time
- Central Daylight Savings Time

Staffing Roles

MATH-BASED SCIENCES

The underpinning of data science is mathematics and statistics. While most data science roles include some level of aptitude in math and stats, other roles require a graduate degree in one of these disciplines or PhD. Other academic disciplines related to data science include Physics, Engineering, Economics, and Computer Science.

DATA SCIENCE PROGRAMMING

Python, R, SQL, Scala, and Julia are just a few of the programming languages used by data scientists. There are also programming languages like SAS and Stata that have been around long before the machine learning models of today. Programming languages like Java, C/C++, and PHP are used to develop software around data science-related inputs and outputs.

DATA VISUALIZATION

Data science output has many forms. Since most people are visually oriented, it is no surprise that the visualization of data and the accompanying insights are in high demand. The requirements range from displaying information / insights via chart, spreadsheet, or presentation to developing interactive dashboards using business intelligence software like Tableau.

DATA SCIENCE GENERALISTS

Whether a business has limited data science resources or not, it usually makes sense to have a data science generalist on staff. A generalist (also reference to as a business analyst) interacts and liaises with business owners, programmers, and other data science professionals. For this reason, such a person should have a broad range of data science knowledge as well as business acumen, but may not possess the deep skillsets of data scientists with extensive machine learning experience under their belt.

DATA WRANGLING

The reality is that data scientists spend much of their time working with the data versus actual modeling. Their work typically involves data hygiene, sourcing new data, integrating it with current data, and annotating data. Skills to look for in these resources include automation, developing workflows, APIs, and experience with multiple data formats. Data wrangling skills may overlap with traditional IT skills such as software engineering, data architecture, and more broadly, data solutioning.

MACHINE LEARNING

Often classified as supervised or unsupervised learning, ML algorithms play a large role in data science. Some common ML techniques include:

linear and logistic regression
naive Bayes classifiers
support vector machines
decision trees / clustering
kNN and K-Means
tensorflow platform
ML with random forests and gradient boosting

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Your Interest:

Predictive Modeling

Data Visualization

Staff Augmentation

SEO

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Website Optimization

Why newData?

newData is an analytics consultancy offering industry-leading data science technology and staffing solutions. Whether your business is new to analytics or is ready to scale it, chances are that we can help enable data science using our proven technology integration process. Our solutions provide cost-effective, timely and actionable answers to the most challenging questions.

We deliver exceptional value using proprietary and industry-leading technology, top analytic talent and a proven integration process.

31-POINT WEBSITE CHECKLIST

We are big fans of checklists. They ensure that best practices are in place and maintained each month. You get your first 31-point checklist within three days of approving your first SEO campaign.The checklist identifies items are as they should be and where changes are needed. Examples include meta tags, Google page-load speed, and broken links.

What is organic search?

Below are the different sections of a typical search engine results page (SERP) for "wedding planner"...

Top Section

PAID SEARCH ADS

Section 2 GOOGLE LOCAL LISTING*

*results dependent on the location of the search.

Section 3 Section 4 - The Middle

ORGANIC RESULTS

Section 5 - The Bottom

MORE PAID ADVERTISING

Section 6 - The Very Bottom

Innovation

At newData, we love to innovate. But, at the same time, there's too much to do to reinvent the wheel. That's why we partner with proven companies like Rapidminer (our Ai platform) and Tableau (data visualization) to take focus on what matters: implementing the right solution given our clients' business problem using our subject matter expertise and extensive talent pool. We also innovate in the development of synthetic data generation technology. Partner with newData to enable data science at your business.

Flexible platform

Visual workflow for all users
Code-based for experts
Integrate with other software

Transparency and governance

Secure, easy to trust, fine tune and explain
Detect bias and drift

Lightning fast and efficient

One-click deployment
Resuable workflows
Full automation - native 3rd-party and custom ML assembly

Synergistic Technology

What do you get when you combine the leader in Ai with the leader in Bi?

More than the sum of the parts. When you develop predictive models that solve a particular problem, your business can act on the recommended decisions using our performance dashboards. Tableau and Rapidminer work together seamlessly using an integrared API. This is a powerful combined solution for those businesses that are ready to scale their data science capabilities.

Innovation

At newData, we love to innovate, but only when it makes sense to so so; reinventing the wheel flies in the face of our efficiency philosophy. By partnering with proven companies like Rapidminer (our AI platform) and Tableau (for data visualization), we can focus on what matters: implementing the right solutions to address our clients’ business problems using our subject matter expertise and extensive talent pool. We bring innovation through the development of synthetic data generation algorithms and software, predictive data analysis, and other emerging technologies. Partner with newData today to implement leading-edge data science practices that will add value to your business.

Personalization

There is a tension between automation and customization. If done right, automation leads to efficiency. However, since every business is unqiue, a cookie-cutter approach may not take advantage of the automation or even do harm. At newData, we strike a balance between personalization and automation by ensuring that our solutions get used while maximizing quality standards and minimizing costs and key decision turnaround times.

In the data science industry, there can be tension between automation and customization. If done right, automation leads to efficiency, but every business is unique. A cookie-cutter approach to automation may not take advantage of the capabilities of automation or may even hinder them. At newData, we know automated solutions are not “one-size-fits-all,” so we strive to find the right balance between personalization and automation by ensuring that our solutions are founded on industry best practices while also focusing on our customers’ specific business needs. This approach maximizes quality standards, minimizes costs, and facilitates faster decision-making for business leaders.

About efficiency

Improving efficiency is one of the important outcomes of data science. It is thus ironic that many larger data science firms sell solutions that are supposed to improve efficiency when they are inherently inefficient themselves. This means lower quality standards, high prices, and longer delivery timelines. At newData, we can make data science accessible because efficiency is part of our DNA. We practice what we preach.

Improving efficiency is one of the main objectives of data science. The irony is that many larger data science firms sell solutions meant to improve efficiency which are riddled with inefficiencies themselves. This leads to lower quality standards, higher prices, and longer delivery timelines. At newData, efficiency is built into each of our solutions from conception to deployment—it’s part of our DNA.

Our customers

newData's customers realize the value of being data-driven but often lack the resources and subject matter expertise to realize their potential. At newData, we help such companies enable data science by integrating enterprise-level technology and/or top analytic talent. If this sounds like your business, we'd love to hear from you. We are fun to work because we enjoy what we do and helping business gain a competitive edge using our solutions.

newData's customers know the value of being data-driven but often lack the resources and subject matter expertise to realize their potential. At newData, we help such companies enable data science by integrating enterprise-level technology and/or top analytic talent. If this sounds like your business, we'd love to hear from you. We are fun to work because we enjoy what we do and helping business gain a competitive edge using our solutions.

A in DREAM represents the ACTION phase

ACTION is how a person or a tool in the business applies the insights from our solution to an actionable lever. In other words, this is reaping the benefits of your new solution. We are available for questions and general guidance to ensure the process is working smoothly.

D in DREAM represents the DISCOVERY phase

During this initial phase, we meet with our future customer and ask a lot of questions. We learn about specific challenges and how data science may help close performance gaps.

A major take-away from the DISCOVERY phase is knowing what we are solving for (TARGET) and what levers (can be used to affect it.

We also contrast the business’ current “AS IS” state with a future “TO BE” state.

What you get is a BI Roadmap using KPIs (Key Performance Indicators) for your business.

E in DREAM represents the EDUCATION phase

During the EDUCATION phase, we illustrate to users how insights from the implemented solution can be used to impact decision making.

Your business conducts User Acceptance Testing (UAT) to ensure that your BI solution works as expected before the solution gets deployed in a production environment..

After making any adjustments from UAT, we conclude the EDUCATION phase by training other users in the business.

R in DREAM represents the REALIZATION phase

From the DISCOVERY phase, we have an analytical roadmap that we use it to guide our-building process to realize the BI Dashboards.

To build our solutions, we use a proprietary, collaborative process called Iterative Technology Development (ITD). This agile process ensures that you are involved every step of the way and that you get results quickly.

In this phase we do internal testing and ensure it meets the business’ specifications.

M in DREAM represents the MEASUREMENT phase

During the final phase of DREAM, the implemented solution is measured versus a prior period or control group.

Data Science Staffing Search in Nashville

Explore the benefits of data science nearshoring

We partnered with a leader in nearshoring to realize this opportunity

Data Science Staffing Search in Nashville

Costa Rica is an emerging technology hub with a growing

data science landscape.

Explore the benefits of nearshoring

We’re proud to partner with Novacomp, a leader in technical recruiting.

What is nearshoring?

Who is newData’s partner?

A leader in nearshoring since 1987

What is newData’s role?

Why nearshore data science?

Why is Costa Rica a talent hub?

What is Costa Rica’s timezone?

Costa Rica is UTC -6

MATH-BASED SCIENCES

DATA SCIENCE PROGRAMMING

DATA VISUALIZATION

DATA SCIENCE GENERALISTS

DATA WRANGLING

MACHINE LEARNING

What is nearshoring?

Are our nearshoring resources available on an "on-demand" basis?

What accolades has Costa Rica achieved in Latin America?

What businesses have invested in Costa Rica?

Are there benefits to nearshoring in Costa Rica?

Why newData?

What is organic search?

Below are the different sections of a typical search engine results page (SERP) for "wedding planner"...

Top Section

PAID SEARCH ADS

Section 2

GOOGLE LOCAL LISTING*

Section 3

PEOPLE ALSO ASK (PAA)

Section 4 - The Middle

ORGANIC RESULTS

Section 5 - The Bottom

MORE PAID ADVERTISING

Section 6 - The Very Bottom

RELATED SEARCHES

Innovation

Innovation

Personalization

About efficiency

Our customers

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