

Associate Data Scientist ( IN-PERSON INTERVIEW REQUIRED) - (Hybrid Role) - US CITIZENS / GREEN CARD HOLDERS ONLY ! - LOCALS to VA, MD, DC Area ONLY
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an Associate Data Scientist, a long-term hybrid position based in Vienna, VA, with a pay rate of "$$ Best Rates Available $$". Candidates must be US citizens or Green Card holders with 0-2 years of relevant experience and strong skills in Python, SQL, and machine learning techniques.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
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ποΈ - Date discovered
July 3, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Vienna, VA
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π§ - Skills detailed
#SQL (Structured Query Language) #Logistic Regression #Data Science #Neural Networks #Cloud #AWS (Amazon Web Services) #Data Storytelling #Databricks #Python #Programming #Storytelling #Statistics #Clustering #Azure #NLP (Natural Language Processing) #Data Exploration #Mathematics #Regression #Hadoop #Azure Databricks #Forecasting #Trend Analysis #R #ML (Machine Learning)
Role description
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US CITIZENS / Green Card Holders / EAD Green Card Holders ONLY
NO THIRD PARTIES PLS
THIS IS A DIRECT CLIENT REQUIREMENT !
Those authorized to work without sponsorship are encouraged to apply please.
Reach Saakshi Sahni - 703-955-1070
Email: saakshi(at)zilliontechnologies(dot)com // 7039551070
Associate Data Scientist
Duration: Long Term Ongoing Project with NO end Date
Direct banking Client
Rate : $$ Best Rates Available $$
Hybrid - 2 Days a week in Vienna, VA // 3 days fully remote
US CITIZENS / Green Card Holders / EAD Green card
Job Description:
Our Digital data science department is dedicated to building predictive solutions for our mobile application and online business operations. We develop predictive tools to assist business and app developers in enhancing user experience and optimizing operational performance.
We are seeking a motivated and talented entry-level data scientist to join our growing department. This role involves collaborating with senior team members, leaders, and business units to create custom solutions and data science models that provide insights into customer digital behavior, forecast mobile app and website usage trends, assess customer app store sentiment, and analyze data for actionable insights. Knowledge or insights into financial services and banking products will also be helpful in designing solutions and predictive tools to help customers improve financial management and financial health/well-being.
Responsibilities
β’ Collaborate with senior data scientists and leaders to design and implement predictive models and custom solutions that enhance our digital offerings.
β’ Partner with business units to gather requirements, understand customer needs, and develop data science solutions that address specific business challenges.
β’ Write efficient code in Python and SQL to manipulate and analyze data.
β’ Design, develop, and evaluate basic/routine predictive models and algorithms with some complexity
β’ Utilize traditional and machine learning techniques and tools to build a variety of models, including but not limited to logistic regression, random forest, XGBoost, neural networks, NLP, k-means clustering, ARIMA, and prophet forecasting.
β’ Analyze and interpret results with some complexity
β’ Exercise limited judgment and discretion within defined procedures and practices
β’ Develop and code basic modeling programs, algorithms, and automated processes
β’ Use modeling and trend analysis to analyze data
β’ Collaborate with team members and participate in team projects and initiatives
β’ Utilize effective written and verbal communication to document and present findings
Qualifications
β’ 0-2 years of experience in data science, statistics, and data analytics
β’ Strong programming abilities in SQL, Python, R, or similar languages in data exploration, data preparation, modeling, prediction, simulation, and statistical analysis
β’ Ability to use data and cloud environments such as Azure, Databricks, AWS, or Hadoop
β’ Experience with machine learning techniques and tools to build a variety of models, including logistic regression, XGBoost, neural networks, NLP, and clustering
β’ Technical writing skills
β’ Strong communication and data storytelling presentation skills of technical material
β’ Ability to collaborate and build relationships
β’ Desired: Bachelorβs degree in data science, statistics, mathematics, computers science, engineering, or degrees in similar quantitative fields
Please send qualified resumes directly to : saakshi(at)zilliontechnologies(dot)com // 7039551070
Thanks,
Saakshi Sahni
Zillion Technologies Inc.
Director - Talent Acquisition
Email: saakshi(at)zilliontechnologies(dot)com // 703-955-1070