Data Science Leader

4 weeks ago


Houston, Texas, United States Nava Software Solutions LLC Full time
Job Overview

Nava Software Solutions LLC is seeking a highly skilled Data Science Leader to spearhead the development and implementation of advanced data science initiatives across business units.

This role involves transforming innovative ideas into real-world solutions through the application of sophisticated analytical techniques such as machine learning, optimization, and cluster analysis.

The successful candidate will lead and help to develop a newly formed data-scientists taskforce in delivering impactful analytical solutions, ensuring these innovations are seamlessly embedded into business operations to drive decision-making, enhance operational efficiency, and foster a culture of continuous improvement and innovation.

Key Responsibilities

  • Translate business needs into analytics/reporting requirements to support data-driven decisions with required information & explain ability.
  • Keep abreast of the latest data science techniques and technologies. Explore and implement innovative solutions to improve data analysis, modeling capabilities, and business outcomes.
  • Communicate complex data insights in a clear and effective manner to stakeholders across the organization, including non-technical audiences. Advocate for the importance and value of data-driven decision making.
  • Manage use case design and build teams on day-to-day basis, providing guidance and feedback as they develop and operationalize data science models and algorithms to solve complex business problems.
  • Ensure analytical insights and products are embedded into business processes.
  • Ensure use case models/analytics are supported, maintained, and improved (as needed) post-development and launch.
  • Guide and sign off on analytics/modelling approach, model deployment requirements, and quality assurance standards with input from use case teams and business leadership.
  • Provide input to the long/term plan for TFGs Data Science team, including key focus areas, talent acquisition, input to technology platforms, and interaction model with the rest of the organization.
  • Foster a culture of innovation and continuous improvement and lead the exploration and adoption of new data science technologies and methodologies to contribute to the advancement of TFG's analytics expertise.
  • Work with wide landscape of business and technical stakeholders to proactively identify applicable new technologies and opportunities and detail and communicate how they can deliver measurable business value.
  • Own the analytics solution portfolio, including model maintenance and improvements over time.

Requirements

  • A master's degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5-7 years' experience in data science or a similar role.
  • Proficient in at least one analytical programming language relevant for data science. Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI).
  • Expertise in advanced analytical techniques (e.g., descriptive statistics, machine learning, optimization, pattern recognition, cluster analysis, etc.)
  • Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark).
  • Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, monitoring, and feedback loop.
  • Experience in Supervised and Unsupervised Machine Learning including classification, forecasting, anomaly detection, pattern recognition using variety of techniques such as decision trees, regressions, ensemble methods and boosting algorithms.
  • Good understanding of programming best practices, building for re-use and highly automated CI/CD pipelines.

Soft Skills

  • Proven track record of leading cross-functional teams to successfully deliver complex data-driven projects.
  • Excellent problem-solving and analytical skills, with the ability to translate complex technical details into understandable business insights.
  • Sees overall 'picture' and alternative approaches and develop vision of what may be possible.
  • Strong interpersonal and communication skills, capable of working effectively with and developing trust from both non-technical and technical counterparts to influence key use case & enterprise decisions.

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