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Senior Data Scientist

Role overview

Qualifications

  • 10+ years of experience in Data Science, Machine Learning, or Advanced Analytics
  • Strong expertise in Python, R, SQL, and statistical analysis
  • Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
  • Experience with cloud platforms such as Amazon AWS, Microsoft Azure, or Google GCP

Responsibilities

  • Design, develop, and deploy machine learning and predictive analytics models
  • Analyze large and complex datasets to identify trends, insights, and business opportunities
  • Build scalable data science solutions and optimize model performance
  • Collaborate with data engineering and business teams to define project requirements and deliver analytical solutions

About the company

KATBOTZ logo

KATBOTZ

Welcome to KATBOTZ: Empowering Business Transformation & Innovation Stay steps ahead of the competition with our cutting-edge business consulting services, expertly optimized for the latest technologies. Ignite growth and knowledge with our transformative education services, while securing top-tier talent for your organization through our unrivaled recruiting solutions. Business Consulting: We specialize in serving enterprise and mid-market customers in the life sciences, hi-tech, and consumer goods industries. Our core offerings include finance transformation, solution integration, data management, reporting and analytics, and program management. Additionally, we have strategic partnerships to support our clients in additional areas. Solutions: We are investing in cutting-edge solutions and technology innovations to bring rapid time-to-value for our customers. By leveraging automation, AI, and machine learning, we help address our clients' most pressing business challenges. Education: We share our expertise to empower the new workforce and business users with the latest knowledge in technology. Through our educational initiatives, we equip them with the skills and insights necessary for success in today's rapidly evolving business landscape. Talent: Finding top-tier talent can be challenging, but with our comprehensive recruiting solutions, you can trust that you'll access the best professionals in the industry. Furthermore, we offer coaching and mentoring services to support the growth and development of the new workforce. Our passion for making a real impact drives us to serve our customers with dedication and expertise. We differentiate ourselves by offering competitive prices, quality resources, and minimal overheads to provide our clients with the best value. Join us as we work to make business transformation a reality for our clients. Let's create a brighter future together. We value feedback, please submit here: https://forms.gle/vpj5qi3HxrQK1Aee6

Company details

Company typeSmall startup
Company size2 - 10

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Job description

This is a remote position.

KATBOTZ seeking a highly skilled Senior Data Scientist to join our remote project team. The ideal candidate will have strong expertise in machine learning, statistical modeling, predictive analytics, and large-scale data processing. The candidate will work closely with business stakeholders, engineering teams, and leadership to develop data-driven solutions that support strategic business decisions and advanced analytics initiatives.

Key Responsibilities
  • Design, develop, and deploy machine learning and predictive analytics models.

  • Analyze large and complex datasets to identify trends, insights, and business opportunities.

  • Build scalable data science solutions and optimize model performance.

  • Collaborate with data engineering and business teams to define project requirements and deliver analytical solutions.

  • Develop data pipelines, feature engineering processes, and model evaluation frameworks.

  • Implement AI/ML algorithms for forecasting, classification, recommendation, and automation use cases.

  • Present analytical findings and recommendations to technical and non-technical stakeholders.

  • Ensure data quality, governance, and compliance standards are maintained.

  • Mentor junior data scientists and support best practices across the team.

  • Stay updated with emerging technologies and advancements in Data Science and AI.

Required Skills & Qualifications
  • 10+ years of experience in Data Science, Machine Learning, or Advanced Analytics.

  • Strong expertise in Python, R, SQL, and statistical analysis.

  • Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.

  • Experience with cloud platforms such as Amazon AWS, Microsoft Azure, or Google GCP.

  • Experience with big data and analytics platforms such as Databricks Databricks, Snowflake Snowflake, or Spark.

  • Strong understanding of statistical modeling, NLP, forecasting, and predictive analytics.

  • Experience with data visualization tools like Power BI, Tableau, or Looker.

  • Excellent analytical, problem-solving, and communication skills.

  • Ability to work independently in a remote environment.

Preferred Qualifications
  • Experience working on AI/LLM or Generative AI projects.

  • Knowledge of MLOps and model deployment pipelines.

  • Experience working with distributed/global teams.

  • Relevant certifications in Data Science, AI, or Cloud technologies are a plus.

Benefits

  • Competitive compensation package 
  • Opportunities for professional development and career advancement.
  • Flexible working conditions, with remote options available.
  • Dynamic and supportive work environment.
Equal Employment Opportunity

KATBOTZ LLC is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified individuals, regardless of race, religion, gender, gender identity, age, marital status, national origin, sexual orientation, citizenship status, veteran status, disability, or any other legally protected status. As an organization, we are unwavering in our commitment to maintaining a discrimination-free work environment, and fostering a culture of inclusivity, belonging and equal opportunity for all employees and applicants.




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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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