Senior Data Scientist I (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Scientist I in the United States and Canada. This role provides an exciting opportunity to work at the forefront of machine learning and natural language processing (NLP), contributing to the design, development, and deployment of advanced AI solutions. You will analyze large and complex datasets, build predictive models, and support data-driven decision-making across multiple business areas. The position involves mentoring junior data scientists, collaborating with cross-functional teams, and ensuring the application of best practices in AI and machine learning. You will work in a flexible, remote-friendly environment that values innovation, collaboration, and personal growth. This is an ideal role for individuals looking to expand their technical expertise while making a tangible impact on strategic projects. Candidates should be self-motivated, analytical, and passionate about delivering high-quality data science solutions. Accountabilities: • Build, implement, and optimize machine learning models and AI features to solve complex business challenges. • Perform advanced data analysis, statistical modeling, and data visualization to extract actionable insights. • Collaborate with stakeholders to identify opportunities for leveraging data to drive strategic business decisions. • Guide the development and deployment of AI solutions, ensuring adherence to best practices in machine learning and NLP. • Contribute to the continuous improvement of data science processes, methodologies, and workflows. • Mentor and support junior data scientists, providing guidance on technical approaches and project execution. • Work closely with cross-functional teams to ensure alignment and effective integration of AI solutions. Requirements • Master’s or Doctorate in Computer Science, Statistics, Mathematics, or a related field. • Proven experience in data science, machine learning, and statistical modeling, with strong proficiency in Python, R, or other relevant programming languages. • Deep understanding of AI and NLP techniques, algorithms, and practical applications. • Strong analytical and problem-solving skills with the ability to lead complex projects. • Excellent communication skills to clearly convey technical information to both technical and non-technical audiences. • Experience mentoring or guiding junior team members in data science and machine learning best practices. • Ability to work independently in a flexible, remote-friendly environment while collaborating effectively with cross-functional teams. • Familiarity with ethical AI practices and multi-model approaches is a plus. Benefits • Comprehensive health benefits, including medical, dental, and vision coverage. • Retirement plans, including 401(k) with match and Employee Share Purchase Plan. • Wellness programs, including mental health resources, Headspace subscription, and incentives. • Paid vacation and leave programs, including family, adoption, surrogacy, and volunteer leave. • Disability, life, accidental death, and critical illness insurance. • Flexible working hours and remote work options to support work-life balance. • Professional development and educational assistance programs. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. It compares your profile to the job’s core requirements and past success factors to determine your match score. Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest!