Senior Data Scientist
RemoteHunter · United States
- Hybrid
- Full-time
- $177,000 / year
- United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Lead strategic data science initiatives and AI solutions.
- Partner with stakeholders for data-driven transformations.
- Develop and deploy predictive, prescriptive, and generative AI models.
- Utilize Python, SQL, and cloud platforms like Azure.
- Communicate complex AI findings to senior leadership.
About the role
About Our Client
The organization operates in the technology and software industry, focusing on empowering individuals and enterprises through innovative data science and artificial intelligence solutions. It addresses the challenge of transforming complex data into actionable insights that drive meaningful business outcomes. The organization emphasizes responsible AI development and scalable innovations impacting a global audience.About the Opportunity
The Senior Data Scientist leads strategic data science initiatives, partnering with stakeholders to design and implement AI-driven solutions that influence business decisions and foster data-driven transformations. This role combines technical expertise with consulting skills to deliver impactful analytics projects that support organizational goals.Responsibilities
- Deliver complex data science and AI solutions for strategic consulting engagements.
- Collaborate with stakeholders to define business challenges and develop actionable AI strategies.
- Develop project plans, assess risks, and align solutions with strategic and ethical AI principles.
- Leverage generative AI technologies to drive innovation and business transformation.
- Prepare and clean large datasets for modeling.
- Build and deploy predictive and prescriptive machine learning models.
- Design and integrate generative AI applications into client workflows.
- Write efficient and scalable code for production environments.
- Implement prompt engineering and fine-tuning for large language and foundation models.
- Communicate findings effectively to senior stakeholders through storytelling and visualizations.
- Simplify complex AI concepts to promote understanding and adoption.
- Document AI development best practices and share knowledge.
- Act as a trusted advisor to internal teams and clients ensuring solution relevance.
- Promote responsible AI practices including fairness, transparency, and explainability.
- Stay updated on emerging AI technologies and tools.
Requirements
- Doctorate, Master's, or Bachelor's degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field with corresponding years of data science experience as specified.
- Proven consulting and stakeholder engagement skills with ability to influence decisions.
- Proficiency in Python and SQL; experience with cloud platforms (preferably Azure).
- Knowledge of Responsible AI principles and ethical data practices.
- Experience with software engineering lifecycle practices including version control, testing, DevOps, and ML solution deployment.
- Experience with AI-assisted coding and specification-driven development.
- 1 to 3 years of consulting experience in technical or management roles.
- Experience developing and deploying Agentic AI solutions.
Pay Range and Compensation Package
- The typical base pay range for this role across the U.S. is USD $119,800.00 to $234,700.00 per year.
Equal Opportunity Statement
Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.Note
RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.Key skills/competency
- Senior Data Scientist
- Data Science
- Artificial Intelligence (AI)
- Machine Learning (ML)
- Generative AI
- Python
- SQL
- Consulting
- Stakeholder Engagement
- Responsible AI
Skills & topics
- Senior Data Scientist
- Data Science
- Artificial Intelligence
- Machine Learning
- Generative AI
- Python
- SQL
- Consulting
- Stakeholder Management
- AI Strategy
- Azure
- LLM
- Foundation Models
- Prompt Engineering
- Responsible AI
- Predictive Modeling
- Prescriptive Modeling
- Agentic AI
- Data Analysis
- Data Cleaning
How to get hired
- Tailor your resume: Highlight your consulting experience, stakeholder engagement, and AI/ML project successes using keywords from the job description.
- Showcase technical skills: Emphasize your proficiency in Python, SQL, Azure, and your experience with generative AI, prompt engineering, and ML model deployment.
- Demonstrate consulting acumen: Provide examples of how you've influenced decisions, developed AI strategies, and managed risks in technical or management roles.
- Address Responsible AI: Clearly articulate your understanding and application of fairness, transparency, and explainability in AI development.
- Prepare for interviews: Be ready to discuss your experience with data cleaning, model building, deployment, and communicating complex technical concepts to non-technical audiences.
Technical preparation
Master Python and SQL for data manipulation.,Practice building and deploying ML models.,Study generative AI and prompt engineering techniques.,Familiarize with Azure cloud services and ML Ops.
Behavioral questions
Describe a complex AI project you led.,How do you influence stakeholder decisions?,Explain a difficult data challenge you solved.,How do you ensure ethical AI practices?
Frequently asked questions
- What is the primary focus of the Senior Data Scientist role at this company?
- The Senior Data Scientist role at this company focuses on leading strategic data science initiatives and implementing AI-driven solutions. You'll partner with stakeholders to transform complex data into actionable insights, drive business decisions, and foster data-driven transformations, with a strong emphasis on generative AI and responsible AI development.
- What are the key technical skills required for the Senior Data Scientist position?
- Key technical skills for this Senior Data Scientist role include proficiency in Python and SQL, experience with cloud platforms (preferably Azure), and a strong understanding of machine learning models, predictive and prescriptive analytics, and generative AI technologies. Experience with prompt engineering, fine-tuning LLMs, and software engineering lifecycle practices is also crucial.
- Does this Senior Data Scientist role involve client-facing responsibilities?
- Yes, this Senior Data Scientist role involves significant stakeholder engagement and consulting. You will collaborate with stakeholders to define business challenges, develop AI strategies, act as a trusted advisor to clients, and communicate findings effectively to senior leadership, making client-facing responsibilities a core part of the role.
- What is the expected educational background for the Senior Data Scientist?
- The company typically requires a Doctorate, Master's, or Bachelor's degree in a quantitative field such as Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related discipline, coupled with relevant years of data science experience.
- What is the salary range for the Senior Data Scientist role?
- The typical base pay range for this Senior Data Scientist role across the U.S. is between $119,800.00 and $234,700.00 per year, depending on experience and qualifications.
- Is this a remote position for the Senior Data Scientist?
- Yes, the Senior Data Scientist position is advertised as remote. The job description explicitly states 'RemoteHunter' and implies a distributed team structure, allowing candidates to work from various locations within the U.S.
- What is 'Agentic AI' and is it relevant for this Senior Data Scientist role?
- Agentic AI refers to AI systems that can perceive their environment, make decisions, and take actions autonomously to achieve specific goals. Experience developing and deploying Agentic AI solutions is listed as a requirement, indicating its importance in the role's responsibilities, likely involving advanced automation and problem-solving.