Data Science Expert

3 weeks ago

Charlotte, North Carolina, United States Genesys Cloud Services, Inc. Full time
Genesys Cloud Services, Inc. - Data Scientist

We are seeking a skilled Data Scientist to drive data-driven decision-making across the organization by applying advanced machine learning and statistical techniques.

This role is pivotal in solving complex business challenges, driving company strategy, and mentoring team members on advanced data science practices.

You will work at the intersection of data science, finance, and business operations, building models that uncover hidden insights in customer behavior, help to optimize revenue streams, improve customer experience, and enhance operational efficiency.

A core focus of the role will be productionizing and deploying scalable models across different business functions, ensuring seamless integration into workflows.

The ideal candidate will possess strong expertise in model interpretation, performance evaluation, and stakeholder communication, making machine learning outcomes understandable and actionable for non-technical audiences.

This position will require collaboration with cross-functional teams to ensure the models continuously adapt to business needs and deliver measurable results.

You'll play a hands-on role in all stages of the data science lifecycle-from data preparation, feature engineering, and model development to deployment, monitoring, and iterative improvement.

A passion for ideation, problem-solving, and leveraging emerging technologies (e.g., GPTs, LLMs) will set you apart.

Location: US Remote

Key Responsibilities:

  • Model Development, Interpretation, and Evaluation
  • Collaborate with data scientists and engineers to develop classification and regression models, ensuring predictions are accurate, explainable, and actionable for stakeholders.
  • Apply interpretability techniques to make model behavior transparent and build trust with non-technical teams.
  • Assess and monitor model performance using a range of metrics (e.g., accuracy, F1-score, AUC-ROC, mean squared error, R) and identify areas for improvement.
  • Experience with decision trees, ensemble methods, and LSTM models is a plus.
  • Feature Engineering and Data Exploration
  • Develop, refine, and test new features to improve model performance and predictive accuracy.
  • Prepare, clean, and transform datasets, ensuring high data quality and consistency for model input.
  • Productionization and Model Deployment
  • Deploy machine learning models into production environments, ensuring they are scalable, efficient, and maintainable.
  • Collaborate with internal teams to integrate models into business processes and automate workflows.
  • Monitor deployed models for drift, accuracy degradation, and performance bottlenecks, and apply retraining strategies as needed.
  • Utilize CI/CD pipelines and MLOps best practices to streamline deployment and maintenance.
  • Data Visualization and Storytelling
  • Create interactive dashboards and visualizations to communicate insights effectively.
  • Translate complex machine learning outputs into compelling narratives that align with business goals and engage non-technical stakeholders.
  • Insight Generation and Business Impact
  • Detect trends, anomalies, and patterns to uncover actionable insights that guide strategic business decisions.
  • Measure the impact of data science initiatives on key business outcomes and continuously improve models to align with evolving objectives.
  • Stakeholder Collaboration and Communication
  • Partner with finance, business, product, sales, and operational teams to drive value across the company.
  • Communicate model strengths, limitations, and predictions effectively to both technical and non-technical audiences.
  • Act as a trusted advisor to stakeholders, ensuring alignment between data science solutions and business needs.

Salary: $129,800.00 - $241,200.00 per year

Benefits:

  • Medical, Dental, and Vision Insurance.
  • Telehealth coverage.
  • Flexible work schedules and work from home opportunities.
  • Development and career growth opportunities.
  • Open Time Off in addition to 10 paid holidays.
  • 401(k) matching program.
  • Adoption Assistance.
  • Fertility treatments.

More details about our company benefits can be found at the following link:http://mygenesysbenefits.com

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