AI Summary
Join our data and analytics team as a Junior Data Scientist to transform data into actionable insights using statistical analysis, machine learning, and data visualization techniques. Collaborate with engineers and stakeholders to build predictive models and data-driven solutions. Develop and evaluate machine learning models and create dashboards to present insights.
Key Highlights
Transform data into actionable insights
Collaborate with engineers and stakeholders
Develop and evaluate machine learning models
Key Responsibilities
Perform data cleaning, preprocessing, and exploratory data analysis (EDA)
Develop and evaluate machine learning models
Apply statistical analysis and hypothesis testing
Build predictive and classification models
Create dashboards and visualizations to present insights
Work with structured and unstructured datasets
Communicate findings to technical and non-technical stakeholders
Technical Skills Required
Benefits & Perks
Competitive salary: $85,000 - $115,000 annually
Performance-based bonuses
Health, Dental, and Vision insurance
401(k) with company match
Paid Time Off (PTO)
H1B sponsorship
STEM OPT extension support
Nice to Have
Experience working with real-world datasets
Knowledge of Natural Language Processing (NLP)
Understanding of Deep Learning basics
Strong analytical and problem-solving skills
Good communication and presentation abilities
Job Description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Aivra Health LLC, is seeking the following. Apply via Dice today!
Junior Data Scientist
United States
Full-Time
Pay Range: $85,000 – $115,000 per year
Visa: H1B Sponsorship Available | STEM OPT & OPT Candidates Welcome
Position Overview
We are seeking a motivated and analytical Junior Data Scientist to join our data and analytics team. This role is ideal for entry level candidates or early-career professionals who are passionate about transforming data into actionable insights using statistical analysis, machine learning, and data visualization techniques.
You will collaborate with Data Engineers, Machine Learning Engineers, and business stakeholders to build predictive models and data-driven solutions.
Key Responsibilities
- Perform data cleaning, preprocessing, and exploratory data analysis (EDA)
- Develop and evaluate machine learning models
- Apply statistical analysis and hypothesis testing
- Build predictive and classification models
- Create dashboards and visualizations to present insights
- Work with structured and unstructured datasets
- Communicate findings to technical and non-technical stakeholders
- Participate in Agile/Scrum development processes
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Artificial Intelligence, or related STEM field
- 0–2 years of experience (internship, research, or academic projects acceptable)
- Strong understanding of Statistics, Probability, and Linear Algebra
- Knowledge of Machine Learning fundamentals
- Basic understanding of Data Structures and Algorithms
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Programming Languages
- Python
- R
- SQL
- Java (basic knowledge)
- Pandas
- NumPy
- Scikit-learn
- TensorFlow
- PyTorch
- XGBoost
- Tableau
- Power BI
- Matplotlib
- Seaborn
- Plotly
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- Apache Spark
- PySpark
- Hadoop
- AWS (S3, SageMaker, EC2)
- Microsoft Azure
- Google Cloud Platform (Google Cloud Platform)
- Regression
- Classification
- Clustering
- Time Series Analysis
- Feature Engineering
- Model Evaluation Metrics
- A/B Testing
- Data Mining
- ETL processes
- Agile/Scrum
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- Experience working with real-world datasets
- Knowledge of Natural Language Processing (NLP)
- Understanding of Deep Learning basics
- Strong analytical and problem-solving skills
- Good communication and presentation abilities
- Competitive salary: $85,000 – $115,000 annually
- Performance-based bonuses
- Health, Dental, and Vision insurance
- 401(k) with company match
- Paid Time Off (PTO)
- H1B transfer & new sponsorship support
- STEM OPT extension support
- Career growth opportunities
We are an Equal Opportunity Employer and welcome applications from diverse candidates, including international professionals requiring H1B sponsorship or STEM OPT support.
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