Lead Data Scientist (Remote - US) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

25 Dec, 25

Salary

221000.0

Posted On

26 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Deep Learning, NLP, MLOps, Generative AI, Python, SQL, Data Engineering, Cloud Platforms, Data Visualization, Mentoring, Model Deployment, Performance Evaluation, Collaboration, Creativity

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Lead Data Scientist in the United States. This role offers the opportunity to lead advanced AI initiatives and drive the development of scalable machine learning systems that generate real business impact. You will oversee complex data science projects from ideation through deployment, mentor a team of engineers and data scientists, and collaborate with stakeholders to translate business needs into AI-driven solutions. This position combines deep technical expertise with strategic leadership, giving you the chance to shape AI practices, innovate with generative AI, and deliver actionable insights that influence business decisions. The role thrives in a dynamic environment where creativity, technical excellence, and collaboration are equally valued, and where your work will have measurable, organization-wide impact. Accountabilities In this role, you will: Lead the design, development, and deployment of AI and machine learning solutions that solve critical business challenges. Translate complex business and stakeholder requirements into technical AI/Gen AI solutions and present findings effectively. Identify, integrate, clean, and transform large datasets to ensure readiness for AI applications. Oversee the development of advanced models such as recommendation engines, intelligent agents, and prototypes using machine learning, deep learning, and generative AI techniques. Mentor and coach junior data scientists and engineers, providing guidance on model development, best practices, and technical growth. Conduct performance evaluations, post-implementation reviews, and optimize deployed models for reliability and scalability. Collaborate with internal and external partners to ensure AI solutions meet quality, timeline, and budget expectations. Candidates should have: Proven experience delivering data science and machine learning solutions from concept to production, including model deployment, monitoring, and optimization. Strong programming skills in Python (NumPy, Pandas, SciPy, scikit-learn) and familiarity with deep learning frameworks (TensorFlow, PyTorch). Expertise in machine learning, deep learning, NLP, MLOps, and generative AI techniques (e.g., transformers, BERT, GPT). Experience with data engineering, building scalable pipelines for batch and streaming data (Spark, Hadoop), and working with SQL/relational databases. Familiarity with cloud platforms (AWS, Azure, GCP) for model deployment and AI workflows. Advanced degree (Master’s or PhD) in Applied Mathematics, Statistics, Computer Science, or a related technical field preferred. Strong skills in data visualization, storytelling, and communicating complex analyses to technical and non-technical stakeholders. Demonstrated leadership and mentoring experience, guiding teams and fostering technical growth. Ability to adapt to new tools, technologies, and evolving business needs quickly. This role offers: Competitive salary, with location-dependent ranges between $138,000 – $221,000 USD, plus potential annual bonus or commissions. Comprehensive health benefits including medical, dental, vision, disability, and life insurance. Flexible spending and health savings accounts, plus wellness support. Generous paid leave including vacation, personal days, sick time, parental leave, and bereavement leave. Retirement benefits including 401(k) with best-in-class company match. Tuition reimbursement and professional development opportunities. Supportive and inclusive work environment promoting career growth, innovation, and collaboration. 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! #LI-CL1

Responsibilities

Lead the design, development, and deployment of AI and machine learning solutions that solve critical business challenges. Oversee complex data science projects from ideation through deployment and mentor a team of engineers and data scientists.