Data Scientist V

Orangepeople; Menlo Park (CA, GA); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

401(k)

Dental Insurance

Health insurance

Vision insurance

Equal opportunity employer

Job summary

Orangepeople is seeking a highly skilled Data Scientist with extensive industry experience to analyze data, build models, and communicate insights across teams. The role emphasizes storytelling with data, creating dashboards, and driving data-driven decisions for business outcomes.

You will lead exploratory analyses, define success metrics with stakeholders, and develop predictive models while ensuring results are accessible to technical and non-technical audiences.

Qualifications

• 10+ years solving analytical problems with quantitative approaches.
• Experience with SQL, Python and/or R for data analysis and modeling.
• Strong data visualization with ability to present to non-technical audiences.
• Excellent communication and ability to influence stakeholders.

Responsibilities

• Perform exploratory data analysis to identify trends, patterns, and correlations.
• Collaborate with stakeholders to define objectives and success metrics.
• Design visuals and dashboards to communicate findings effectively.
• Develop predictive and forecasting models and evaluate performance.
• Formulate hypotheses and conduct research to answer business questions.

Skills

Data analysis

Statistical modeling

Data visualization

Communication

Problem solving

Tools

SQL

Python

R

Job description

We are looking for 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.

Key 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 Customer 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.

Benefits:

• 401(k).
• Dental Insurance.
• Health insurance.
• Vision insurance.
• We are an equal-opportunity employer and value diversity, equality, inclusion, and respect for people.
• The salary will be determined based on several factors, including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs.

Additional Responsibilities:

• Participate in OP monthly team meetings and participate in team-building efforts.
• Contribute to OP technical discussions, peer reviews, etc.
• Contribute content and collaborate via the OP-Wiki/Knowledge Base.
• Provide status reports to OP Account Management as requested.

About us:

At OP, we help you harness the power of technology for maximum impact. A technology consulting and solutions company, we offer advisory and managed services, innovative platforms, and staffing solutions across a wide range of fields including AI, cyber security, enterprise architecture, and beyond. For nearly two decades, we've been challenging the status quo of the consulting industry serving up fresh, ingenious thinking through a radically lean structure. Together, this strategy delivers unprecedented performance at an unparalleled pace for faster results that propel your business forward.