Data Scientist V

Crystal Equation; Menlo Park (CA); Hybrid; USD 145,000 - 152,000; Full time

Benefits offered by this job

Medical/dental/vision/life insurance

401K

Paid time off

Parental leave

Job summary

Crystal Equation Corporation in Menlo Park, CA is seeking a Data Scientist V for a hybrid role. The ideal candidate has 10+ years of industry experience in data analysis, statistical modeling, and data visualization, with strong communication skills.

You will perform EDA, define OKRs, build dashboards, develop predictive models, and share actionable insights with both technical and non-technical stakeholders. Compensation includes an hourly pay range of $105-$110 and full benefits.

Qualifications

• 10+ years solving analytical problems using quantitative approaches.
• 10+ years experience with SQL, Python, and/or R.
• Strong data analysis, modeling, and visualization skills.
• Excellent communication to diverse audiences.

Responsibilities

• Perform exploratory data analysis to identify trends and insights.
• Collaborate with stakeholders to define objectives and key results (OKRs).
• Design visualizations and dashboards for clear narratives.
• Develop predictive and forecasting models and evaluate performance.
• Communicate findings to technical and non-technical audiences.
• Formulate hypotheses and plan research to answer business questions.

Skills

SQL

Python

R

Data analysis

Statistical modeling

Data visualization

Communication

Job description

Summary

Data Scientist V Hybrid

We are seeking a highly skilled Data Scientist with 10+ years of industry experience to join our team. The successful candidate will have a strong background in data analysis, statistical modeling, and data visualization, as well as excellent communication skills.

Responsibilities

• Data Analysis: Perform exploratory data analysis (EDA) to identify trends, patterns, and correlations; apply statistical and quantitative tools or techniques; interpret data and formulate deep-level insights.
• Setting Goals and Success Metrics: Collaborate with stakeholders to define business objectives and key results (OKRs); define success metrics that measure short and long-term progress towards OKRs.
• Visualization: Design visualizations that provide a clear narrative understanding as well as deep dive capabilities; develop high-performance reports and dashboards.
• Storytelling Through Data: Develop compelling narratives to communicate data insights for technical and non-technical audiences; utilize various relevant tools and techniques to effectively present data; provide recommendations based on analytical findings and insights, with prioritization of actions and estimated impact.
• Modeling: Develop and implement predictive and forecasting models using multiple techniques such as regression, clustering, classification, and more; evaluate and refine models based on performance metrics; generate actionable insights from model output.
• Research and Experiment: Formulate multiple hypotheses that are tied together to answer business questions; develop a comprehensive research plan that identifies appropriate data collection tools, techniques, or methods to be used for a specific research problem; conduct research with appropriate methods to answer the research questions or test hypotheses.

Requirements

• 10+ years of industry experience solving analytical problems using quantitative approaches, including defining metrics and goals, monitoring key metrics, understanding root causes of changes in metrics, and exploratory analysis to Client new opportunities.
• 10+ years of industry experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), and/or statistical/mathematical software (e.g., R).
• Strong background in data analysis, statistical modeling, and data visualization.
• Excellent communication skills, with the ability to present complex data insights to both technical and non-technical audiences.

Pay range is $105 - $110 per hour with full benefits available, including paid time off, medical/dental/vision/life insurance, 401K, parental leave, and more.

Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.

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