Data Scientist

Intelliswift - An LTTS Company; Menlo Park (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

Intelliswift - An LTTS Company is looking for a seasoned Data Scientist in Menlo Park, California. The role involves applying advanced statistical analysis, machine learning, and building predictive models. Ideal candidates will have over 10 years of experience in data science, proficient in Python and R, and a Master's degree in a relevant quantitative field. The position requires strong analytical skills and the ability to communicate complex concepts effectively. Collaborative work with engineering and product teams is essential to translate prototypes into scalable features.

Qualifications

• 10+ years of experience in data science, analytics, or a related field.
• Strong expertise in Python and/or R for data analysis and modeling.
• Experience working with large-scale datasets and distributed data systems.

Responsibilities

• Apply advanced statistical analysis, machine learning, and mathematical modeling.
• Design, build, and evaluate predictive models and algorithms.
• Develop and test hypotheses; analyze results from experiments.

Skills

Python

R

Machine learning

Statistical modeling

Data analysis

Data visualization

Problem-solving

Education

Master’s degree in Computer Science

Master’s degree in Data Science

Master’s degree in Statistics

Tools

Tableau

A/B testing

Job description

Duration: 6 Months Contract

Responsibilities

• Apply advanced statistical analysis, machine learning, and mathematical modeling to uncover patterns, identify opportunities, and inform product decisions
• Design, build, and evaluate predictive models and algorithms to extract business value from large-scale datasets
• Develop and test hypotheses; analyze results from experiments and translate findings into actionable insights
• Partner closely with engineering and product teams to transition prototypes into scalable product features
• Support experimentation frameworks and launch measurement strategies
• Deliver business intelligence and data visualization solutions, including dashboards and ad-hoc analysis
• Leverage AI tools and automation techniques to improve analytics workflows and operational efficiency

Required Skills & Qualifications

10+ years of experience in data science, analytics, or a related field

Strong expertise in Python and/or R for data analysis and modeling

Experience working with large-scale datasets and distributed data systems

Hands-on experience with machine learning, statistical modeling, and experimentation methods (A/B testing)

Familiarity with data visualization tools (e.g., Tableau or similar platforms)

Experience leveraging AI tools to automate workflows and improve productivity

Strong problem-solving skills with the ability to operate independently in ambiguous environments

Excellent written and verbal communication skills, with the ability to explain complex concepts clearly

Preferred Qualifications

Experience working in ads measurement, privacy, or regulated data environments

Exposure to causal inference, experimental design, and product analytics

Proven track record of influencing product or business decisions through data

Education

Master’s degree in Computer Science, Data Science, Statistics, or a related quantitative field