About Momento USA
Sourced by ZipRecruiter
Industry
It services
Company size
11 - 50 Employees
Headquarters location
Mount Laurel, NJ, US
Year founded
2009
Job description
Job Title: - Senior Data Scientist/Data Scientist
Duration: - Long Term Contract
Location: - Omaha, NE
Job Description-
Need 10+ years’ experience as Data Scientist and heavily experience in AI and AWS bedrock.
We need senior Data Scientist and Data Scientist who bring AI-forward thinking to full-stack AWS Bedrock development, complemented by on-demand access to deep expertise across AI architecture, security, governance, and workforce transformation. This is for building internal AI capability while scaling from successful pilots to production-grade agentic systems.
Thanks and regards,
Rohit Raj
Momento USA | Exceeding Customer Expectations…
Email: Web:
Note: Momento USA is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
momentousa.com
Most Popular Jobs Similar to Senior Data Scientist
data scientist
data science
data scientist machine learning
associate data scientist
senior data analyst
senior data developer
senior data modeler
senior data engineer
predictive modeler
data analytics architect
Other Helpful Pages Related To Senior Data Scientist/Data Scientist
Data Scientist Salaries
Data Scientist Career Research
Frequently asked questions
Q: What skills or qualities help someone succeed as a Senior Data Scientist?
A: To succeed as a Senior Data Scientist, key technical skills include expertise in machine learning algorithms, statistical modeling, and programming languages such as Python or R, as well as proficiency in data visualization tools like Tableau or Power BI. Additionally, strong soft skills like effective communication, collaboration, and leadership abilities are crucial for guiding cross-functional teams and presenting complex data insights to stakeholders. By combining technical expertise with strong interpersonal skills, Senior Data Scientists can drive business growth, inform strategic decisions, and advance their careers through leadership opportunities and industry recognition.
Q: What is the career path for a Senior Data Scientist?
A: A Senior Data Scientist's typical career progression involves starting as a Data Analyst or Junior Data Scientist, progressing to a Data Scientist or Senior Data Analyst role, and eventually becoming a Senior Data Scientist or Lead Data Scientist. Key opportunities for skill development and growth include mastering advanced machine learning techniques, deep learning, and programming languages such as Python and R, as well as developing expertise in data visualization, statistical modeling, and data engineering. Long-term career prospects for Senior Data Scientists may include transitioning into leadership roles, such as Director of Data Science or Chief Data Officer, or pursuing specialized roles like Data Product Manager or AI/ML Engineer.
