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Manhattan Strategy Group (SNAP Project)
Bethesda, MD | Full Time
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Teaching Strategies, LLC
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Data Scientist
$121k-149k (estimate)
Full Time | Business Services 1 Day Ago
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Manhattan Strategy Group (SNAP Project) is Hiring a Data Scientist Near Bethesda, MD

Description

MSG is a small-disadvantaged, social sciences consulting firm specializing in research and evaluation, policy analysis, and technical assistance (TA). We pride ourselves on rigorous and innovative qualitative and quantitative data collection, management, analysis, and reporting. Our work is with multiple Departments, including education, labor, homeland security, and health and human services. This position will support the firm's Research and Evaluation service line.
The successful candidate will have a solid foundation in quantitative methods. They will join a dynamic team of researchers from a variety of disciplines working together to design, develop, and implement rigorous research for USDA and other clients. The Data Scientist will be responsible for managing, understanding and analyzing client data - including text mining, developing predictive systems, risk scoring, creating efficient algorithms, data quality improvement and other related activities.
This individual will be able to implement statistical analyses of gathered extant and open source, data to create analytic metrics and tools to support research projects.
JOB DUTIES/RESPONSIBILITIES
  • Apply AI/ML expertise and creativity to apply existing methods and develop new ones to solve these problems in a practical and scalable way.
  • Research and propose appropriate models/techniques, as well as implement, train and evaluate models.
  • Effectively work across projects, as necessary.
  • Collaborate daily with a diverse team of researchers.
  • Build and analyze large datasets of extant data.
  • Participate in business development.
QUALIFICATIONS
  • Master's Degree with 5 years of experience.
  • Solid foundation with data platforms and applications such as DataBricks.
  • Experience programming in R, Python.
  • Experience with distributed processing systems for big data (e.g., Pyspark, Spark) and machine learning packages (e.g., Apache Spark)
  • Experience with data visualization platforms such as Tableau, Plotly, Streamlit, or Power BI
  • Experience with medium-to-large data sets (>1m rows)
  • Experience with data and table modernization a plus.
  • Excellent written and verbal communication skills.
EEO STATEMENTManhattan Strategy Group is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status.
MSG is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age or veteran status.

Job Summary

JOB TYPE

Full Time

INDUSTRY

Business Services

SALARY

$121k-149k (estimate)

POST DATE

05/02/2024

EXPIRATION DATE

07/01/2024

WEBSITE

manhattanstrategy.com

HEADQUARTERS

MANHATTAN, NY

SIZE

50 - 100

FOUNDED

2001

CEO

SHEZAD HABIB

REVENUE

<$5M

INDUSTRY

Business Services

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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.

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

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A data scientist develops software to structure the raw data.

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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.

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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.

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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.

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

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

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

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

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

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