Data Scientist - Machine Learning & Predictive Analysis

Overview

Remote
$30 - $40
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
No Travel Required
Unable to Provide Sponsorship

Skills

Data Scientist
Machine Learning
Predictive Modeling
Data Analysis
Python
R
TensorFlow
Scikit-learn
PyTorch
Hadoop
Spark
Big Data
Data Visualization
Tableau
Power BI
SQL
Data Analytics
Statistical Modeling
Regression Analysis
Hypothesis Testing
Simulation
BI Analytics
Data Pipelines
Feature Engineering
A/B Testing
Product Analytics
Data Engineering
Quantitative Research
Data-Driven Decision Making
Cloud Analytics

Job Details

Data Scientist - Machine Learning & Predictive Analysis

Location: Remote

Duration: 12 Months

 

We are seeking a proactive and curious Data Scientist to develop innovative, data-driven solutions across diverse, high-dimensional datasets. This role blends statistical rigor, machine learning, and problem-solving acumen to drive product insights, predictive modeling, and decision intelligence. The ideal candidate thrives in a technical, fast-paced environment and brings hands-on expertise in data science tools and programming.

 

Responsibilities:

  • Apply analytical methods statistical modeling, machine learning, simulation, and predictive analytics to identify patterns, trends, and actionable insights from complex data.
  • Design, test, and refine predictive models and advanced algorithms to optimize business processes and product effectiveness.
  • Generate and validate hypotheses via experimental analysis and data-driven evaluation.
  • Partner with product engineers and stakeholders to translate prototypes into tangible products and scalable solutions.
  • Build interactive dashboards, support BI visualization initiatives, and provide analytical insights for business inquiries.
  • Continuously enhance data infrastructure, model accuracy, and performance through an iterative, scientific approach.

 

Qualifications:

  • Master s degree in Computer Science, Statistics, Data Science, or a related field.
  • Minimum of 3 years of experience in data science or quantitative research.
  • Proficiency in Python or R, with hands-on experience in machine learning libraries such as TensorFlow, Scikit-learn, or PyTorch.
  • Experience with data visualization tools such as Tableau, Power BI, or equivalent.
  • Knowledge of data processing frameworks (Hadoop, Spark, or SQL-based systems).
  • Ability to communicate complex technical ideas effectively to both technical and non-technical audiences.
  • Experience working with large, structured and unstructured datasets.

 

Preference:

  • Candidates with experience in tech-driven or analytics-focused industries are preferred.
  • Avoiding profiles heavily tenured in non-technical or purely business domains.

 

Keywords: Data Scientist, Machine Learning, Predictive Modeling, Data Analysis, Python, R, TensorFlow, Scikit-learn, PyTorch, Hadoop, Spark, Big Data, Data Visualization, Tableau, Power BI, SQL, Data Analytics, Statistical Modeling, Regression Analysis, Hypothesis Testing, Simulation, BI Analytics, Data Pipelines, Feature Engineering, A/B Testing, Product Analytics, Data Engineering, Quantitative Research, Data-Driven Decision Making, Cloud Analytics

 

About VDart Group
VDart Group is a global leader in technology, product, and talent solutions, serving Fortune 500 clients in 13 countries. With over 4,000 professionals worldwide, we deliver innovation, operational excellence, and measurable outcomes across industries. Guided by our commitment to People, Purpose, and Planet, VDart is recognized with an EcoVadis Bronze Medal and as a UN Global Compact member, reflecting our dedication to sustainable practices.

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About VDart, Inc.