Lead Consultant, Data Scientist

Benefits Workplace locations look different for everyone. Excellians are a distributed workforce and whether you're working from your home office or a client site, we support a flexible work/life integration regardless of your location. We offer top of industry medical, dental, and vision benefits with multiple options to choose from such as an employer-contributed health savings account, infertility coverage, and orthodontia so you can select the plan that works best for you. Regardless of what stage of life you’re in, Excella wants to support you. We provide 8 weeks of Parental Leave, discounted pet insurance, and a Care.com membership with 3 back-up emergency child or elder care days annually – all available to you on your first day. Starting day one, every employee is bonus eligible and receives 15 days of paid vacation, 6 federal holidays, and 4 floating holidays. Doing your best work means having the best tools! Excella’s TechEleX program provides you with multiple options to suit your technology needs. Choose between a variety of Mac or PC devices, and to ensure your hardware remains current, at the end of a 3-year period Excella will replace your existing computer with a new model from the program. Plus, we’ll even give you the original device to keep for your personal use! With Excella’s Annual Internet Reimbursement benefit, all employees receive an additional $25 per month to help offset the cost of internet access. This initiative reflects our commitment to supporting you in staying connected and productive, no matter where you work. We'll invest in your career by providing 3 days of paid professional development every year, including an allowance for registration fees to attend classes, conferences, or obtain professional certifications. We encourage mindfulness and overall well‑being through employee wellness events, a HeadSpace membership, as well as access to TalkSpace and mental health coverage through our medical plans. Overview Lead Data Scientists at Excella drive the development and implementation of advanced analytics solutions, ensuring alignment with business objectives and technical best practices. They provide strategic leadership in data science projects, mentor team members, and influence decision-making through data-driven insights. Responsibilities Lead 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 6+ years of experience in predictive analytics using tools like Python, R, or Scala. 6+ 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. 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. Excella is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Excella is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation to participate in the job application or interview process, contact View email address on click.appcast.io or View phone number on click.appcast.io. #J-18808-Ljbffr Excella Consulting