3+ years of experience in predictive analytics using Python, R, or Scala.
3+ years of experience writing complex SQL queries for data extraction and transformation.
Extensive experience with machine learning techniques, including deep learning and NLP.
Expertise in large-scale data platforms like Hadoop, Spark, and cloud solutions.
Strong background in leading data science teams and mentoring others.
Proven ability to translate business problems into data science solutions.
Knowledge of CI/CD implementation in data science pipelines.
Excellent communication skills for engaging with stakeholders, including executives.
Experience leading projects within Agile Scrum frameworks.
Strong strategic thinking and problem-solving skills.
Responsibilities
Take ownership of data science project design and execution for impactful analytics solutions.
Partner with stakeholders to understand business challenges and develop data-driven strategies.
Oversee data acquisition and integration, ensuring quality and reliability.
Apply and refine machine learning techniques to solve complex business problems.
Guide the deployment of predictive models into business applications.
Develop strategies for optimizing model performance and monitoring.
Present findings to executives, translating complex data into actionable strategies.
Mentor junior and senior team members in data science methodologies.
Influence data governance and best practices within the organization.
Benefits
Opportunity for an annual bonus based on firmwide goals and objectives.
Consideration for other positions that align with qualifications.
Continuous learning environment with a focus on emerging data science technologies.
Full Job Description
Overview
Senior Data Scientists at Excella leverage advanced statistical, machine learning, and data visualization techniques to drive meaningful insights and solutions for client projects. They collaborate closely with stakeholders to translate business needs into actionable analytics and ensure the effective communication of complex quantitative findings.
Responsibilities:
Take ownership of the design and execution of data science projects, ensuring high-impact analytics solutions.
Partner with client stakeholders to understand business challenges and develop data-driven strategies.
Oversee data acquisition and integration, ensuring data quality and reliability.
Apply and refine machine learning and predictive modeling techniques to solve complex business problems.
Guide the deployment and integration of predictive models into business applications.
Develop and implement strategies for optimizing model performance and monitoring over time.
Present findings and recommendations to executives, translating complex data concepts into actionable business strategies.
Mentor and support junior and senior team members in data science methodologies and best practices.
Influence data governance and best practices within the organization.
Qualifications:
3+ years of experience in predictive analytics using tools like Python, R, or Scala.
3+ years of experience writing complex SQL queries for data extraction and transformation.
Extensive experience applying machine learning techniques, including deep learning and NLP.
Expertise in working with large-scale data platforms, including Hadoop, Spark, and cloud-based solutions.
Strong background in leading data science teams and mentoring junior data scientists.
Proven ability to translate business problems into data science solutions.
Knowledge and experience in implementing CI/CD in data science pipelines.
Excellent communication skills for engaging with stakeholders at all levels, including executives.
Experience leading projects within Agile Scrum frameworks.
Strong strategic thinking, problem-solving skills, and ability to drive decision-making based on data insights.
Familiarity with DevOps Research and Assessment (DORA) and its application in analytics.
Continuous learning mindset with a passion for staying up to date on emerging data science technologies.
This range represents the minimum and maximum base salary that Excella reasonably and in good faith expects to pay for this role. Actual compensation within the range will depend on factors such as skills, experience, training, certifications, and organizational needs. It is not typical for an individual to be hired at or near the top or bottom of the range.
Your pay also includes the opportunity for an annual bonus in addition to the base salary. This variable pay opportunity is dependent upon the attainment of shared firmwide goals and objectives as determined by Excella's Executive Team. Certain eligibility and pro-ration rules apply.
Should your experience and knowledge qualify you for a different position or title within Excella, we may consider you for positions that better align with your qualifications. In that case, we will provide the range for those positions as well.
