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Data Scientist - Job Opportunity at KesarWeb

Interlachen, US
Full-time
Mid-level
Posted: April 17, 2025
On-site
USD 105,124 - 113,588 per year

Benefits

Comprehensive health insurance package with market-competitive coverage
Professional development opportunities with focus on continuous learning
Flexible work arrangements indicating modern workplace culture
Performance-based bonus structure suggesting growth-oriented compensation

Key Responsibilities

Lead data-driven decision making initiatives by developing and implementing advanced analytics solutions
Design and deploy machine learning models with direct business impact across classification, regression, and clustering applications
Drive innovation through research and implementation of cutting-edge AI methodologies
Establish and maintain data pipelines while ensuring production model performance
Deliver strategic insights through advanced data visualization and stakeholder communication

Requirements

Education

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field

Experience

Not explicitly stated but role requirements suggest 3-5 years

Required Skills

Python, R, or Java programming TensorFlow, PyTorch, or Scikit-learn Big data tools (Hadoop, Spark, AWS, GCP) SQL Statistics and probability Data modeling Problem-solving Critical thinking Communication skills

Certifications

AWS Certified Machine Learning (preferred) Data science or machine learning certifications (preferred)
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Sauge AI Market Intelligence

Industry Trends

The emphasis on MLOps and production deployment indicates a shift from experimental to operational AI, reflecting industry maturation Integration of deep learning and traditional ML suggests a balanced approach to solution development Focus on cross-functional collaboration highlights the evolving role of data scientists from pure technical specialists to business partners

Salary Evaluation

The offered salary range of $105-114K is slightly below market average for mid-level data scientists in US markets, where typical ranges are $120-150K for similar positions

Role Significance

Based on the scope of responsibilities and cross-functional nature, likely part of a 5-8 person data science team within a larger technical organization
Mid-level individual contributor with potential for technical leadership based on the emphasis on stakeholder communication and cross-functional collaboration

Key Projects

End-to-end machine learning pipeline development and deployment Predictive modeling for business strategy support Data infrastructure optimization and scaling Cross-functional analytics initiatives

Success Factors

Strong balance of technical expertise and business acumen Ability to translate complex technical concepts for non-technical stakeholders Experience with full ML lifecycle from development to production Proactive research and innovation mindset

Market Demand

High demand with strong growth trajectory, particularly in organizations implementing AI transformation initiatives. The role's focus on production deployment and business alignment indicates a mature data science function

Important Skills

Critical Skills

Production ML deployment experience - essential for driving actual business value Stakeholder communication - key for cross-functional success Full-stack data science capabilities from analysis to deployment

Beneficial Skills

MLOps and automation tools for scaling impact Cloud platform expertise for infrastructure flexibility Business domain knowledge for better solution alignment

Unique Aspects

Strong emphasis on production deployment indicating mature ML practice
Balance of technical depth and business impact
Focus on research and innovation while maintaining practical application

Career Growth

2-3 years in role with demonstrated impact before advancement opportunity

Potential Next Roles

Lead Data Scientist Machine Learning Engineering Manager AI Strategy Consultant Technical Product Manager

Company Overview

KesarWeb

KesarWeb appears to be a technology-focused organization investing in data-driven transformation

Mid-sized organization based on role structure and requirements
Local presence in Florida with potential for broader market impact
Professional environment with emphasis on innovation and continuous learning
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