Data Scientist: Predictive Modeling & Insights

Helic & Co; United States; On-site; USD 90,000 - 140,000; Full time

Job summary

Helic & Co is seeking a Data Scientist to analyze complex data, build predictive models, and translate findings into actionable business insights. You will work with cross-functional teams to improve products, processes, and performance through data-driven solutions.

The role emphasizes collaboration with engineering, product, and analytics teams, development of dashboards, and ongoing model monitoring to adapt to changing datasets and business needs.

Qualifications

• Bachelor’s or Master’s degree in a related field.
• 2+ years of experience in data science or analytics.
• Proficiency in Python or R.
• Experience with SQL and relational databases.
• Strong statistics, probability, ML, and data modeling knowledge.
• Experience with data visualization tools.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently while collaborating with cross-functional teams.

Responsibilities

• Collect, clean, transform, and analyze data from multiple sources.
• Develop and implement statistical models and ML algorithms.
• Identify patterns, trends, and opportunities; translate into insights.
• Build and evaluate data models for forecasting, classification, segmentation.
• Create dashboards and visualizations to communicate findings.
• Collaborate with engineering, product, business, and analytics teams.
• Monitor model performance and improve analyses as datasets evolve.
• Document methodologies, analyses, and results for reproducibility.

Skills

Analytical thinking

Problem solving

Communication

Cross-functional collaboration

Data visualization

Python/R

SQL

Education

Bachelor’s or Master’s in a related field

Tools

Scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

Tableau

Power BI

AWS

SQL databases

Job description

Helic & Co is seeking a Data Scientist to analyze complex data, build predictive models, and translate findings into actionable business insights. You will work with cross-functional teams to improve products, processes, and performance through data-driven solutions.

The role emphasizes collaboration with engineering, product, and analytics teams, development of dashboards, and ongoing model monitoring to adapt to changing datasets and business needs.