Data Scientist
The Entry-Level Data Scientist at Confidential Client is responsible for analyzing structured and unstructured data to build predictive models and generate insights that support business decisions. This role involves data preprocessing, machine learning model development, visualization, and collaboration with cross-functional teams in a hybrid work environment. It offers a valuable opportunity for early-career professionals passionate about data science and AI to contribute to impactful analytics projects.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Social Networking/Social Media.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
Role overview
Confidential client in the Social Networking/Social Media industry is seeking an Entry‑Level Data Scientist to join their analytics team in New Jersey. This is a full‑time role focused on data cleaning, exploratory analysis, building and validating predictive models, and communicating results to cross‑functional partners. The hiring team welcomes early‑career candidates with academic projects or internship experience.
What You’ll Do
- Collect, clean, preprocess, and integrate structured and unstructured datasets from multiple sources
- Design and train machine learning models (classification, regression, forecasting) and evaluate their performance
- Perform feature engineering and exploratory data analysis to discover patterns and opportunities
- Build dashboards and visualizations to translate technical results into business insights
- Work with product, engineering, and business teams to define problems and implement data‑driven solutions
- Document methods, experiments, and model performance; help maintain reproducible workflows
- Stay current with best practices and emerging techniques in data science and ML
Qualifications
- Bachelor’s or master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
- 1+ years of relevant experience (academic projects and internships count)
- Proficiency in Python and SQL for data manipulation and modeling
- Solid understanding of statistics, probability, and core machine learning concepts
- Experience with data cleaning, feature engineering, and EDA
- Strong analytical thinking and clear written and verbal communication skills
Preferred (nice‑to‑have)
- Hands‑on experience with scikit‑learn, pandas, or similar libraries
- Familiarity with model evaluation metrics and validation techniques
- Experience creating dashboards (e.g., Tableau, Looker, Power BI) or programmatic visualization
- Exposure to cloud platforms or versioned ML workflows (optional)
Compensation & Benefits
- Base salary range: $95,000 — $110,000 per year (reported by the confidential client)
- Competitive benefits package (details provided by the client during interview)
Work location & schedule
- Location: New Jersey (hybrid; onsite expectation approximately 3 days per week)
- Candidates must be authorized to work in the United States.
Recruiting process (via Careertakes)
Careertakes is managing the candidate sourcing and initial screening. Typical steps include a brief recruiter screen, a technical or take‑home assessment (when applicable), and interviews with hiring managers and stakeholders. Careertakes may share additional matched roles that fit your profile.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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