Data Scientist (US)

AVP VIGILANT TECHNOLOGY PVT LTD; New York (NY); On-site; USD 110,000 - 190,000; Full time

Benefits offered by this job

Competitive salary

Growth opportunities

Comprehensive benefits

Collaborative team

Professional development

Job summary

AVP Vigilant Technology Pvt Ltd is seeking a Data Scientist to transform complex data into actionable insights, predictive models, and data-driven business solutions. You will collaborate with product, engineering, business, and analytics teams to identify opportunities, build machine-learning models, design experiments, and communicate findings to stakeholders.

The role accommodates early-career through experienced professionals who can independently drive analytical initiatives and deploy

Qualifications

• 3–8+ years of data science or related experience.
• Strong Python programming skills.
• Strong SQL skills and experience with relational databases.
• Solid understanding of statistics and probability.
• Hands-on experience with machine-learning algorithms and model evaluation.
• Proficiency with Pandas and NumPy.
• Experience with Scikit-learn.
• Practical experience designing and analyzing A/B tests.
• Experience with Tableau, Power BI, or a comparable BI/visualization platform.
• Strong analytical and problem-solving abilities.

Responsibilities

• Analyze large and complex datasets to identify trends, patterns, and business opportunities.
• Develop, evaluate, and deploy statistical and machine-learning models.
• Apply statistical methods to solve business and product problems.
• Perform exploratory data analysis using Python, Pandas, and NumPy.
• Write efficient SQL queries to extract, transform, and analyze data.
• Build predictive models using Scikit-learn and related ML techniques.
• Design, execute, and analyze A/B tests and experiments.
• Define appropriate metrics, KPIs, and measurement frameworks.
• Create dashboards and visualizations using Tableau or Power BI.
• Translate analytical results into clear, actionable recommendations for technical and non-technical stakeholders.
• Collaborate with engineering, product, marketing, and business teams.
• Communicate model assumptions, results, limitations, and business impact effectively.
• Continuously improve analytical methodologies, models, and processes.

Skills

Python

SQL

Data science

Machine learning

Pandas

NumPy

Scikit-learn

A/B testing

Tableau

Power BI

Education

Bachelor's or Master's degree

Tools

Tableau

Power BI

PyTorch

TensorFlow

Job description

Data Scientist

Experience

3–8+ years

Location

New York City, Boston, San Francisco, Seattle, or Chicago

Salary

$110,000–$190,000+ per year

About The Role

We are looking for a Data Scientist to turn complex data into actionable insights, predictive models, and data-driven business solutions. You will work closely with product, engineering, business, and analytics teams to identify opportunities, build machine-learning models, design experiments, and communicate findings to stakeholders.

This role is suitable for candidates ranging from early-career Data Scientists to experienced professionals who can independently own complex analytical and machine-learning initiatives.

Key Responsibilities

• Analyze large and complex datasets to identify trends, patterns, and business opportunities.
• Develop, evaluate, and deploy statistical and machine-learning models.
• Apply statistical methods to solve business and product problems.
• Perform exploratory data analysis using Python, Pandas, and NumPy.
• Write efficient SQL queries to extract, transform, and analyze data.
• Build predictive models using Scikit-learn and related ML techniques.
• Design, execute, and analyze A/B tests and experiments.
• Define appropriate metrics, KPIs, and measurement frameworks.
• Create dashboards and visualizations using Tableau or Power BI.
• Translate analytical results into clear, actionable recommendations for technical and non-technical stakeholders.
• Collaborate with engineering, product, marketing, and business teams.
• Communicate model assumptions, results, limitations, and business impact effectively.
• Continuously improve analytical methodologies, models, and processes.

Required Qualifications

• 3–8+ years of relevant experience in data science, analytics, machine learning, or a related field.
• Strong Python programming skills.
• Strong SQL skills and experience working with relational databases.
• Solid understanding of statistics and probability.
• Hands-on experience with machine-learning algorithms and model evaluation.
• Proficiency with Pandas and NumPy.
• Experience with Scikit-learn.
• Practical experience designing and analyzing A/B tests.
• Experience with Tableau, Power BI, or a comparable BI/visualization platform.
• Strong analytical and problem-solving abilities.
• Excellent written and verbal communication skills.

Preferred Qualifications

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, Economics, or a related quantitative field.
• Experience with advanced statistical modeling, forecasting, or causal inference.
• Experience working with large-scale datasets and cloud data platforms.
• Familiarity with additional ML frameworks such as PyTorch or TensorFlow.
• Experience taking machine-learning models from experimentation into production.
• Experience working in an Agile, cross-functional environment.

What We Offer

• Competitive base salary of $110K–$190K+, depending on experience, skills, location, and level.
• Opportunity to work on high-impact data and machine-learning problems.
• Collaborative environment with experienced data, product, and engineering professionals.
• Opportunities for professional growth and technical development.
• Comprehensive benefits and additional compensation may be available depending on role and location.

Equal Opportunity

We are committed to building an inclusive workplace and consider qualified candidates without regard to legally protected characteristics. Reasonable accommodations are available throughout the hiring process.

Skills: sql,python,data science