Senior AI/ML scientist in Computational Toxicology driving advanced AI/ML solutions for safer drug discovery and regulatory methodologies.
About the role
- Manager/Sr Manager in Data Science role at analytics firm solving business problems. Leading teams and delivering robust analytical solutions for Fortune 500 companies.
Responsibilities
- Work on the latest applications of data science to solve business problems
- Work directly with client stakeholders to translate business problems into high level analytics solution designs
- Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value
- Develop end-to-end solutions based on in-depth understanding of business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably
- Responsible for managing analytics projects, collaborating with client stakeholders and Tiger’s team situated globally
- Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights
- Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solution
Requirements
- 8 - 13 years of professional work experience with at least 5 years in Data Science
- Ability to engage with executive/VP-level stakeholders from client’s team to translate business problems to high level analytics solution approach
- Solid understanding of statistical and machine learning algorithms
- Strong project management and team management skills and ability to work with global teams
- Strong SQL skills and hands-on experience with analytic tools like R & Python
- Exposure to cloud platforms and big data systems such as Hadoop, HDFS, Hive is a plus
- Experience working with CPG Domain companies.
- Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes
- Bachelor's in Business Analytics or equivalent work experience.
Benefits
- Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
AI Reliability Data Scientist focused on predictive models and industrial data analysis for advanced manufacturing projects in Mexico.
Data Scientist/Senior Data Scientist overseeing evaluation of quantitative risk management practices at Federal Reserve Bank. Engaging in reviews, analyses, and internal consulting within the organization.
Lead Data Scientist at Federal Reserve Bank of Atlanta. Conducting quantitative risk management analysis and participating in regulatory reviews of large BHCs.
Seeking a Data Scientist/Machine Learning Semi Senior to develop data - based solutions in Buenos Aires. Must have strong Python skills and experience in Machine Learning.
Data Scientist/Developer at SEB transforming complex financial data into predictive insights through data modeling and simulations. Strong Python and finance skills required in a hybrid work environment.
Senior Data Scientist leveraging computer vision and machine learning to support Quality Control at Walmart. Collaborating with engineering and business to deliver scalable data solutions.
Senior Data Scientist addressing complex ML and AI challenges at JLL. Collaborating in a hybrid environment with a focus on real estate technology in Tel Aviv.
Applied Data Scientist designing and implementing AI - driven pipelines for Binance's blockchain products. Collaborating on complex systems to enhance market understanding and trading intelligence.
Data Science Team Lead at OREDATA, leading teams to resolve data science challenges in a hybrid environment. Joining a digital transformation firm with a strong collaborative culture.