Senior Data Scientist - Remote

Job Title: Senior Data Scientist
Location: Remote
Can do Only w2, No C2C

Job Summary:

We are seeking an experienced Senior Data Scientist to support advanced analytics, machine learning, and data-driven business solutions. The ideal candidate will leverage statistical modeling, data mining techniques, and advanced programming skills to solve complex business challenges and uncover transformative opportunities through data insights.

The candidate will work with large-scale datasets, develop innovative algorithms, apply machine learning techniques, and communicate analytical findings effectively to technical and business stakeholders.

Key Responsibilities:

• Apply advanced analytics, quantitative methods, and statistical modeling techniques to solve complex business problems.
• Analyze large datasets to identify trends, patterns, and actionable insights.
• Develop and implement machine learning models and advanced analytical solutions.
• Create new algorithms and data-driven approaches from scratch.
• Utilize data mining techniques to extract meaningful business insights.
• Translate analytical findings into recommendations that support business decisions.
• Work with structured and relational databases to analyze and process large volumes of data.
• Collaborate with internal teams and clients to understand requirements and deliver data solutions.
• Communicate complex technical concepts clearly to both technical and non-technical audiences.
• Identify issues, perform root cause analysis, and recommend effective solutions.
• Support consulting engagements requiring frequent travel to client locations.

Required Skills:

• Strong experience as a Data Scientist with expertise in machine learning and advanced analytics.
• Strong programming experience with:
• Python
• R
• Scala
• Hands-on experience with:
• Machine Learning
• Statistical Modeling
• Data Mining Techniques
• Advanced Analytics
• Experience working with large datasets and enterprise-scale data environments.
• Strong knowledge of relational databases and data analysis techniques.
• Experience developing analytical models and algorithms.
• Strong understanding of quantitative analysis methodologies.
• Ability to interpret complex datasets and provide actionable recommendations.
• Experience creating data-driven solutions for business challenges.

Preferred Qualifications:

• Advanced degree in a quantitative discipline such as:
• Computer Science
• Engineering
• Physics
• Statistics
• Applied Mathematics
• Experience in management consulting or client-facing data science engagements.
• Experience working with complex enterprise data platforms.
• Experience supporting large-scale analytics initiatives.

Best Regards:

Bindu M
Phone:
Email: