Senior Data Scientist

KJ LLC
Lewisburg, TN, United States
23 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Regular working hours

Tech stack

A/B Testing Amazon Web Services Artificial Neural Networks Microsoft Azure Big Data Data Integration Extract Transform Load (ETL) Data Visualization Data Warehousing Relational Databases Database Queries Distributed Computing Environment
+15 more
Apache Hadoop Data Intelligence Python (Programming Language) Machine Learning Tensorflow SQL Databases Google Cloud Pytorch Snowflake Apache Spark Deep Learning Information Technology Production Code Machine Learning Operations Data Pipelines

Job description

We’re seeking an experienced Senior Data Scientist to lead our data science initiatives and drive strategic decision-making across the organization. In this pivotal role, you’ll architect sophisticated analytical solutions, mentor emerging talent, and partner with executive leadership to unlock transformative insights from complex datasets. If you’re a seasoned data professional ready to elevate your impact and shape the future of data-driven innovation, this is your opportunity to make your mark., * Lead the design and implementation of advanced statistical models and machine learning architectures that solve mission-critical business challenges at scale

  • Partner with C-suite executives and business leaders to translate strategic objectives into comprehensive data science roadmaps and deliver measurable business value
  • Mentor and guide junior data scientists and analytics professionals, fostering a culture of technical excellence and continuous innovation
  • Architect end-to-end data pipelines and ETL processes, ensuring enterprise-grade data quality, security, and accessibility across the organization
  • Design and oversee rigorous experimental frameworks and A/B testing methodologies to validate hypotheses and inform strategic decisions
  • Develop compelling executive-level visualizations and presentations that translate complex analytical findings into actionable business recommendations
  • Establish best practices, standards, and governance frameworks for data science projects across teams
  • Stay at the forefront of emerging technologies and methodologies, evaluating and implementing cutting-edge tools and techniques
  • Collaborate with engineering, product, and business teams to ensure seamless integration of data science solutions into production environments

Requirements

  • Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field
  • 7+ years of professional experience in data science, machine learning, or advanced analytics roles, with at least 2+ years in a senior or leadership capacity
  • Expert-level proficiency in Python or R, with demonstrated ability to write production-quality code
  • Deep expertise in statistical methods, machine learning algorithms, causal inference, and advanced data visualization techniques
  • Extensive experience with SQL and relational databases; proven ability to optimize complex queries and manage large-scale data infrastructure
  • Hands-on experience with big data technologies and distributed computing frameworks (Spark, Hadoop, or equivalent)
  • Proven track record of leading cross-functional projects and translating technical insights into business impact
  • Exceptional communication skills with the ability to influence stakeholders at all organizational levels, from technical teams to executive leadership
  • Strong strategic thinking and business acumen with demonstrated ability to identify high-impact opportunities

Nice-to-Have Skills

  • PhD in a quantitative field or advanced certifications in machine learning and data science
  • Extensive experience with cloud platforms and data warehousing solutions (AWS, Azure, Google Cloud, Snowflake)
  • Expertise in deep learning frameworks (TensorFlow, PyTorch) and neural network architectures
  • Experience building and scaling machine learning operations (MLOps) and model deployment pipelines
  • Published research or contributions to open-source data science projects
  • Background in causal inference, econometrics, or advanced experimental design
  • Experience mentoring and building high-performing data science teams
  • Domain expertise in finance, healthcare, technology, or other relevant industries

Why Join Us?

We’re building a world-class data science organization and seeking senior leaders who are ready to make a strategic impact. You’ll have autonomy to shape our data science vision, access to enterprise-grade tools and infrastructure, and the opportunity to work alongside top-tier talent. We invest in professional development, encourage innovation, and foster an inclusive culture where diverse perspectives drive breakthrough solutions. This role offers the chance to advance your career while influencing critical business outcomes.

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