Recent Searches

You haven't searched anything yet.

1 Data Scientist Job in New York City, NY

SET JOB ALERT
Details...
Entera
New York City, NY | Full Time
8 Months Ago
Data Scientist
Entera New York City, NY
Full Time 8 Months Ago
Save

sadSorry! This job is no longer available. Please explore similar jobs listed on the left.

Entera is Hiring a Remote Data Scientist

The Role:

Entera is looking for a Data Scientist to join our growing data team. The primary function of this role is to work with our Data Engineering team to build, deploy, and maintain production-ready machine learning models and statistical analyses. You'll work with the support of best-in-class developers who will surface your work to both internal users in our reporting systems, as well as our customer facing frontend product, in the form of dynamic reports, data visualizations, and interactive tools.

We are a tight data-driven group of technology experts that value measurable and reproducible statistical models that scale well in production environments, and ultimately the business value that can be extracted from those models. You’ll contribute to many areas of our technical stack and have autonomy to work on various types of interesting and challenging data science problems. You will be coming in at the ground floor of this effort and will play a large role in shaping our data science culture.

Successful candidates will thrive in Entera’s unique operating environment and culture: high-growth, innovative, lean, and values-driven. As such, successful candidates must be highly capable in each of the following dimensions (among others): resourcefulness, adaptability, curiosity, analytical thinking/problem solving, proactivity, collaboration, technological savvy, and operating in a dynamic environment.

What You’ll Do:

  • Use Python, SQL, and R to statistically model and analyze large sets of data
  • Perform feature engineering across various sets of real estate, economic, and demographic data
  • Build machine learning models and statistical analyses, and productionize them for use over structured and sensible APIs using Python
  • Iterate in an agile development workflow and use version control systems (Git) to manage model validation, measurement, and continuous improvement
  • Utilize distributed compute frameworks like Spark or Dask to process large datasets and train models
  • Work with our Data Engineering and DevOps teams to deploy and maintain models and CI pipelines
  • Write and maintain technical documentation for the data models you produce, and be able to champion your approach and communicate results to the business in an easily interpretable way
  • Help to define and improve our internal standards for style, maintainability, and best practices for a high-scale data infrastructure
  • Partner with other teams to accomplish data science efforts around our Underwriting, Brokerage, Marketing, and Sales processes
  • Evangelize a culture of 'data-first', and seek data-driven feedback in all that you do

Requirements:

  • MS or PhD in Computer Science, Mathematics, Statistics, Physics, Economics, or similar hard-science.
  • 5 years hands-on experience in Data Analytics at growing product-driven tech companies
  • Minimum 3 years experience building, deploying, and maintaining machine learning models in production environments
  • Experience with Python / R libraries for data manipulation and statistical modeling such as: Numpy, Pandas, dplyr, scikit-learn, Tensorflow, PyTorch, Caret
  • Deep interest in statistical learning, computational topology, geometry, and higher order maths
  • Expertise with Spark, Dask, or similar distributed compute frameworks
  • Working knowledge of AWS
  • Experience using and working with large scale data pipelines
  • Data-driven in all aspects of your life
  • Nice to have:
    • Familiarity with SQL and data warehousing systems like Snowflake, BigQuery, RedShift
    • Familiarity with data orchestration systems like Airflow or Prefect
    • Working knowledge of a Python web framework like Flask

Job Summary

JOB TYPE

Full Time

POST DATE

07/11/2022

EXPIRATION DATE

10/26/2022

WEBSITE

bellsigns.com

HEADQUARTERS

Panama City, FL

SIZE

100 - 200

Show more

Entera
Full Time
$44k-54k (estimate)
1 Month Ago
Entera
Remote | Full Time
$107k-138k (estimate)
1 Month Ago
Entera
Full Time
$60k-73k (estimate)
1 Month Ago

The following is the career advancement route for Data Scientist positions, which can be used as a reference in future career path planning. As a Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist. You can explore the career advancement for a Data Scientist below and select your interested title to get hiring information.

Meta
Full Time
$134k-164k (estimate)
4 Days Ago

If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Scientist job description and responsibilities

Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.

12/22/2021: Dallas, TX

Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.

02/17/2022: Lompoc, CA

A data scientist develops software to structure the raw data.

02/16/2022: Lansing, MI

Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.

02/12/2022: San Diego, CA

Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.

02/01/2022: Peoria, IL

Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Scientist jobs

Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.

01/31/2022: Passaic, NJ

Data scientists lay a solid foundation to help perform all kinds of analysis.

01/31/2022: Champaign, IL

Data scientists are also expected to have stronger software engineering skills that data analysts.

02/19/2022: Springfield, OR

Business analysts are focused on reporting, just like data analysts.

02/04/2022: Jamestown, NY

A data scientist should understand the assumptions that need to be met for each statistical test.

03/04/2022: Hialeah, FL

Step 3: View the best colleges and universities for Data Scientist.

Butler University
Carroll College
Cooper Union
High Point University
Princeton University
Providence College
Show more