Data Scientist V

Intelliswift - An LTTS Company; San Francisco (CA); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Intelliswift - An LTTS Company is seeking a highly skilled Data Scientist with 10+ years of industry experience to join our team in Menlo Park, CA, onsite with hybrid flexibility. The ideal candidate will leverage advanced SQL, Python, and EDA to derive actionable insights and guide decision-making across cross-functional stakeholders.

You will design dashboards, define OKRs, and build predictive models, presenting findings to both technical and non-technical audiences while continuously

Qualifications

• 10+ years of experience solving analytical problems using quantitative approaches.
• Strong data analysis, statistical modelling and visualization background.
• Excellent communication skills for presenting insights to diverse audiences.

Responsibilities

• Perform exploratory data analysis to identify trends and insights.
• Define business OKRs and success metrics with stakeholders.
• Build dashboards and visualizations for clear narrative understanding.
• Present data findings and recommendations to mixed audiences.
• Develop predictive models and conduct research/experimentation.

Skills

Data analysis

SQL

Python

EDA

OKRs

Stakeholder communication

Job description

Location: Onsite at Menlo Park, CA (Hybrid)

Duration: 6 months initially on W2 with extension up to 30 Months

Job Summary:

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 modelling, and data visualization, as well as excellent communication skills.

Minimum Years of Experience

10+

Key Projects/Day-to-Day Responsibilities:

• Perform EDA to identify trends and generate deep-level insights
• Define business OKRs and success metrics with stakeholders
• Build dashboards and visualizations for clear narrative understanding
• Present data findings and recommendations to mixed audiences
• Develop predictive models and conduct research/experimentation

Must-Have Skills

• Data Analysis & SQL — Strong EDA skills with advanced SQL proficiency
• Setting Goals & Success Metrics — Ability to collaborate with stakeholders on defining OKRs and measuring progress
• 10+ years of quantitative/analytical experience — Using scripting languages (Python), statistical tools, and data querying at scale

Nice-to-Have Skills

• Visualization — Designing dashboards and high-performance reports
• Storytelling Through Data — Communicating insights to technical and non-technical audiences

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 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.