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Open nowPosted 5 days ago

Data Scientist (US)

edgeqtechnologies31 open roles

Pay
$85,000 – $160,000 a yearly
Where
New York City, NY
Work mode
On site
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Your applicationOpen nowData Scientist (US)edgeqtechnologies · New York City, NY

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This job: posted 5 days ago

The posting

Data Scientist

Job Title: Data Scientist Job Type: Full-Time Experience: 1–5 Years Salary Range: $85,000–$160,000 per year Locations: New York City, NY | Boston, MA | Seattle, WA | Chicago, IL, USA

About the Role

We are seeking a motivated and analytical Data Scientist to transform complex datasets into actionable business insights. The ideal candidate will have hands-on experience with Python, SQL, statistical analysis, machine learning, and data visualization tools such as Tableau.

In this role, you will work with cross-functional teams to analyze business performance, develop predictive models, identify trends, and support data-driven decision-making.

Key Responsibilities

  • Collect, clean, process, and analyze structured and unstructured datasets from multiple sources.
  • Develop statistical models and machine learning solutions to solve business problems.
  • Use Python libraries such as pandas, NumPy, scikit-learn, and SciPy for data analysis and modeling.
  • Write optimized SQL queries to extract, transform, and analyze data from relational databases.
  • Perform exploratory data analysis (EDA) to identify patterns, trends, correlations, and anomalies.
  • Apply statistical methods, hypothesis testing, and experimental analysis to support business decisions.
  • Build, validate, and evaluate predictive models using appropriate performance metrics.
  • Create interactive dashboards, reports, and visualizations using Tableau.
  • Communicate analytical findings and recommendations to technical and non-technical stakeholders.
  • Collaborate with data engineers, business analysts, product managers, and engineering teams.
  • Monitor model performance and maintain analytical workflows as business requirements evolve.
  • Document methodologies, assumptions, results, and recommendations.

Required Skills and Qualifications

  • 1–5 years of professional experience in data science, analytics, machine learning, or a related field.
  • Strong programming skills in Python.
  • Proficiency in SQL and relational database querying.
  • Solid understanding of statistics, probability, hypothesis testing, and experimental design.
  • Experience with machine learning algorithms, model training, and model evaluation.
  • Familiarity with pandas, NumPy, scikit-learn, and other Python data science libraries.
  • Experience creating dashboards and visual reports using Tableau.
  • Knowledge of data cleaning, feature engineering, and exploratory data analysis.
  • Ability to interpret complex data and translate findings into actionable business insights.
  • Strong problem-solving, critical-thinking, and communication skills.
  • Ability to manage multiple analytical tasks and collaborate effectively with cross-functional teams.

Preferred Qualifications

  • Experience with Power BI or other business intelligence and visualization platforms.
  • Familiarity with cloud data platforms such as AWS, Microsoft Azure, or Google Cloud.
  • Knowledge of data warehouses and platforms such as Snowflake, BigQuery, or Redshift.
  • Experience with A/B testing, forecasting, customer segmentation, or predictive analytics.
  • Familiarity with Git, Jupyter Notebook, and collaborative development workflows.
  • Understanding of ETL processes, data pipelines, and data quality management.
  • Experience applying machine learning to business use cases such as customer churn, fraud detection, recommendation systems, or demand forecasting.

Salary and Benefits

  • Annual Salary: $85,000–$160,000, depending on experience, skills, location, and qualifications.
  • Employment Type: Full-time.
  • Competitive compensation and benefits, subject to employer policy.
  • Opportunities to work on challenging data science and analytics projects.
  • Professional development and career growth opportunities.
  • Collaborative, data-driven work environment.

Work Locations

  • New York City, New York
  • Boston, Massachusetts
  • Seattle, Washington
  • Chicago, Illinois

How to Apply

Interested candidates are encouraged to submit an updated resume highlighting their Python programming, SQL, statistical analysis, machine learning, Tableau, and data visualization experience. Please include relevant projects and measurable achievements where applicable.

Equal Opportunity Statement: The employer welcomes qualified applicants and is committed to providing equal employment opportunities in accordance with applicable laws.

Job Summary: Data Scientist | Full-Time | 1–5 Years of Experience | $85K–$160K Annually | NYC, Boston, Seattle, Chicago, USA

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