Hybrid Data Scientist: Predictive Modeling & Insights

Placements24; United States; Hybrid; USD 37,000 - 73,000; Full time

Benefits offered by this job

Hybrid work

Health insurance

Professional development

Conferences

Training

Annual leave

Retirement plan

Team events

Job summary

Placements24 is seeking an analytical Data Scientist to help build predictive models and derive actionable insights in a hybrid role based in the North West region. You will own the data science lifecycle from data preparation to deployment, partnering with business units to translate challenges into data-driven solutions.

You will apply advanced statistics, ML, and visualization tools, communicate complex results clearly, and mentor junior teammates while contributing to data infrastructure and

Qualifications

• Master's or Ph.D. in a quantitative field as listed.
• Proven experience building and deploying predictive models in business contexts.
• Proficiency in Python or R and ML libraries such as scikit-learn and TensorFlow/PyTorch.

Responsibilities

• Develop and implement predictive models using ML algorithms.
• Clean, transform, and analyze large, complex datasets from various sources.
• Collaborate with stakeholders to translate business questions into data science projects.
• Validate model performance and iterate to improve accuracy and robustness.
• Build dashboards and reports to visualize model metrics and insights.
• Mentor junior team members and contribute to data infrastructure improvements.
• Stay current with advances in data science and statistical modeling.

Skills

Statistics

Machine learning

Python

R

SQL

Data visualization

Big data

Communication

Education

Master's or Ph.D. in Statistics, Mathematics, Computer Science, Data Science, or related quantitative field

Tools

scikit-learn

pandas

NumPy

TensorFlow/PyTorch

Tableau

Power BI

Spark

Hadoop

Job description

Placements24 is seeking an analytical Data Scientist to help build predictive models and derive actionable insights in a hybrid role based in the North West region. You will own the data science lifecycle from data preparation to deployment, partnering with business units to translate challenges into data-driven solutions.

You will apply advanced statistics, ML, and visualization tools, communicate complex results clearly, and mentor junior teammates while contributing to data infrastructure and