Senior Consultant Data Scientist

excella; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Health savings account

Parental leave

Paid vacation

Annual bonus

Tech equipment

Internet reimbursement

Professional development

Wellness resources

Job summary

Excella is seeking an experienced Lead Data Scientist to drive analytics projects from design to deployment. You will frame business questions, develop ML models including NLP, ensure data quality, and communicate insights to executives.

The role includes mentoring teammates and contributing to data governance practices. You will guide data strategy across client engagements, partner with stakeholders, and help scale data science capabilities in a distributed work environment with flexible

Qualifications

• At least 3 years of predictive analytics experience using Python, R, or Scala, and at least 3 years writing complex SQL for extraction and transformation.
• Extensive application of machine learning methods, including deep learning and natural language processing.
• Experience with large-scale data platforms such as Hadoop, Spark, and cloud-based environments.
• Background leading data science work and mentoring team members.
• Ability to translate business problems into analytical solutions and communicate results to stakeholders at all levels.
• Experience with CI/CD for data science pipelines and leading work in Agile Scrum settings.

Responsibilities

• Own the design and delivery of analytics projects, aligning the work with client needs and intended impact.
• Work with stakeholders to frame business challenges and develop data-informed approaches.
• Oversee data acquisition and integration, maintaining data quality and reliability.
• Apply and refine machine learning and predictive methods, including deep learning and natural language processing.
• Support the deployment of models into business applications and establish ways to monitor and improve them over time.
• Explain findings and recommendations to executive audiences, and mentor colleagues in data science practices.
• Help shape data governance and sound team practices.

Skills

Predictive analytics

SQL proficiency

Machine learning

Communication with stakeholders

Mentoring

Agile Scrum experience

Tools

Python

R

Scala

Hadoop

Spark

Cloud platforms

Job description

Role overview

Lead data science work for client projects, turning business questions into analytics and predictive solutions. The role spans project design, data quality, model development and deployment, and communicating findings to decision makers, while also mentoring colleagues and contributing to data governance practices.

Responsibilities

• Own the design and delivery of analytics projects, aligning the work with client needs and intended impact.
• Work with stakeholders to frame business challenges and develop data-informed approaches.
• Oversee data acquisition and integration, maintaining data quality and reliability.
• Apply and refine machine learning and predictive methods, including deep learning and natural language processing.
• Support the deployment of models into business applications and establish ways to monitor and improve them over time.
• Explain findings and recommendations to executive audiences, and mentor colleagues in data science practices.
• Help shape data governance and sound team practices.

Requirements

• At least 3 years of predictive analytics experience using Python, R, or Scala, and at least 3 years writing complex SQL for extraction and transformation.
• Extensive application of machine learning methods, including deep learning and natural language processing.
• Experience with large-scale data platforms such as Hadoop, Spark, and cloud-based environments.
• Background leading data science work and mentoring team members.
• Ability to translate business problems into analytical solutions and communicate results to stakeholders at all levels.
• Experience with CI/CD for data science pipelines and leading work in Agile Scrum settings.
• Strong strategic thinking and problem-solving, with a focus on using evidence to guide decisions.

Nice to have

• Familiarity with DORA and its use in analytics, along with an ongoing interest in emerging data science methods and tools.

Benefits and work setup

The workforce is distributed, with work from home or client sites and flexible work arrangements.

• Benefits include medical, dental, and vision plan options
• an employer contribution to a health savings account
• parental leave
• paid vacation and holidays
• an annual bonus opportunity
• technology equipment options
• a monthly internet reimbursement
• paid professional development
• and wellness and mental health resources.