Junior Data Scientist -Remote - Only W2 Consultants
Jobs via Dice · United States
- Hybrid
- Full-time
- $95,000 / year
- United States
Tailored resume — keyword-matched to this role.
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Job highlights
- Analyze data and build predictive models.
- Develop machine learning models for various tasks.
- Collaborate with teams to provide recommendations.
- Monitor and maintain deployed models.
- Write clean, documented code for pipelines.
About the role
Junior Data Scientist
We are looking for a curious and driven Junior Data Scientist to join our growing analytics team. You will work closely with senior data scientists and business stakeholders to extract insights from complex datasets, build predictive models, and help drive data-informed decisions across the organization.
Key Responsibilities
- Collect, clean, and preprocess structured and unstructured data from multiple sources
- Develop and validate machine learning models for classification, regression, clustering, and forecasting
- Perform exploratory data analysis (EDA) and communicate findings through clear visualizations and reports
- Collaborate with product, engineering, and business teams to translate analytical insights into actionable recommendations
- Monitor and maintain deployed models, tracking performance metrics and flagging degradation
- Write clean, well-documented code and contribute to internal data science libraries and pipelines
- Support A/B testing design and analysis
Required Qualifications
- 3–4 years of hands-on experience in a data science or analytics role
- Bachelor''s or Master''s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field
- Proficiency in Python (pandas, NumPy, scikit-learn, matplotlib/seaborn) and SQL
- Solid understanding of ML fundamentals — supervised/unsupervised learning, model evaluation, cross-validation
- Experience with data visualization tools (Tableau, Power BI, or similar)
- Familiarity with version control using Git
- Strong analytical thinking and problem-solving skills
Nice to Have
- Experience with cloud platforms (AWS, Google Cloud Platform, or Azure) and ML services
- Knowledge of deep learning frameworks (TensorFlow or PyTorch)
- Familiarity with MLOps tools and model deployment (MLflow, Docker, etc.)
- Exposure to big data technologies (Spark, Hadoop)
- Experience working in Agile/Scrum environments
What We Offer
- Competitive salary and performance bonuses
- Learning & development budget
- Flexible/hybrid work environment
- Collaborative, data-driven culture
Key skills/competency
- Data Science
- Machine Learning
- Python
- SQL
- Data Visualization
- Exploratory Data Analysis (EDA)
- Model Development
- Data Cleaning
- A/B Testing
- Cloud Platforms
Skills & topics
- Junior Data Scientist
- Data Science
- Machine Learning
- Python
- SQL
- Data Analysis
- Predictive Modeling
- Data Visualization
- A/B Testing
- Analytics
- Remote
- Contract
- W2
How to get hired
- Tailor your resume: Highlight Python, SQL, ML fundamentals, and relevant project experience.
- Showcase your projects: Quantify achievements and demonstrate impact with data.
- Prepare for technical interviews: Practice coding challenges and ML concepts.
- Understand the role: Research Xcelo Group Inc. and its data initiatives.
- Ask insightful questions: Show your engagement and analytical thinking during the interview.
Technical preparation
Practice Python coding for data manipulation.,Review SQL queries for data extraction.,Understand ML algorithms and evaluation.,Familiarize with Git for version control.
Behavioral questions
Describe a complex data problem solved.,How do you handle data inconsistencies?,Explain a model's findings to non-technical people.,How do you stay updated on new techniques?
Frequently asked questions
- What are the primary responsibilities of a Junior Data Scientist at Xcelo Group Inc?
- The Junior Data Scientist will focus on collecting and cleaning data, developing machine learning models, performing exploratory data analysis, and collaborating with various teams to drive data-informed decisions. They will also be involved in monitoring deployed models and writing code for data science pipelines.
- What are the essential technical skills required for this Junior Data Scientist role?
- Proficiency in Python (with libraries like pandas, NumPy, scikit-learn) and SQL is essential. A strong understanding of machine learning fundamentals, data visualization tools (like Tableau or Power BI), and Git version control are also required.
- Does Xcelo Group Inc. offer opportunities for professional development for a Junior Data Scientist?
- Yes, Xcelo Group Inc. offers a learning & development budget, indicating a commitment to employee growth and skill enhancement for their Junior Data Scientists.
- What is the expected experience level for the Junior Data Scientist position?
- The role requires 3-4 years of hands-on experience in a data science or analytics role, along with a Bachelor's or Master's degree in a related field.
- What are the 'nice to have' qualifications for the Junior Data Scientist role at Xcelo Group Inc?
- Nice-to-have qualifications include experience with cloud platforms (AWS, GCP, Azure), deep learning frameworks (TensorFlow, PyTorch), MLOps tools, big data technologies (Spark, Hadoop), and working in Agile/Scrum environments.
- How does Xcelo Group Inc. support a flexible work environment for its Junior Data Scientists?
- Xcelo Group Inc. provides a flexible/hybrid work environment, allowing for a good work-life balance alongside a collaborative, data-driven culture.
- What kind of models will the Junior Data Scientist develop?
- The Junior Data Scientist will develop and validate machine learning models for classification, regression, clustering, and forecasting.
- How important is collaboration in this Junior Data Scientist role?
- Collaboration is very important, as the Junior Data Scientist will work closely with senior data scientists, business stakeholders, product, engineering, and business teams.