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Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in Washington, DC, with a contract length of unspecified duration, offering competitive pay. Key skills include Python, Power BI, machine learning, and SQL. Strong analytical and communication skills are required.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
April 4, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
On-site
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Washington DC-Baltimore Area
🧠 - Skills detailed
#SQL (Structured Query Language) #BI (Business Intelligence) #Database Management #Data Quality #Data Analysis #Data Science #Python #Data Engineering #ML (Machine Learning) #Programming #Visualization #Microsoft Power BI #Data Mining
Role description
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Hi,

This is Chandra from Yochana IT Solutions, I Recently found your resume in one of our Job portal and We are looking for “Data Scientist with python, Panda - Washington, DC(Onsite)” with one of our client, I have included the job information below, If you are interested, please share your updated resume.

Job Description:

Job Summary

The Senior Data Scientist will be responsible for analyzing complex data sets, developing custom models and algorithms to drive business solutions, and creating visualizations using Power BI. The role will involve collaborating with cross functional teams to identify opportunities for leveraging company data to drive business solutions. (1.) Key Responsibilities

  1. Analyze and interpret large and complex data sets to discover insights and identify trends.

  1. Develop and implement custom machine learning models and algorithms to support business objectives.

  1. Create interactive and insightful visualizations using power bi to present data driven insights to stakeholders.

  1. Collaborate with business stakeholders to understand their goals and translate them into technical requirements.

  1. Work closely with data engineers to ensure data quality and accuracy for analysis.

  1. Stay updated on industry trends and advancements in data science to continuously improve data methodologies.

Skill Requirements

  1. Strong proficiency in data science techniques and tools such as machine learning, statistical modeling, and data mining.

  1. Proficiency in power bi for data visualization and reporting.

  1. Advanced programming skills in python for data analysis and model development.

  1. Solid understanding of database management and sql for data querying and manipulation.

  1. Excellent communication and presentation skills to effectively convey complex findings and insights to nontechnical stakeholders.

  1. Strong problem-solving and analytical skills to tackle complex data challenges efficiently.