Data Scientist Iii, User Safety
By Hinge At New York, NY, United States
2+ years of experience as data scientist
1+ years of experience in product analytics (A/B testing)
Strong knowledge of statistics and A/B testing
Strong working knowledge of SQL and Python
Exposure to engineering best practicesSuperb communication skills
Translate product objectives to data science problems and vice versa
Research Scientist Iii Jobs
By Research Foundation for Mental Hygiene, Inc. At New York, NY, United States
Prepare grant submissions to obtain research funding. Minimum Qualifications:
English and Spanish fluency is required. Preferred Qualifications:
At least 5 years’ combined experience in quantitative and qualitative research methods preferred.
At least 5 years’ experience conducting research on community-based interventions preferred.
At least 3 years’ experience with STATA, Atlas.Ti, or other statistical and qualitative software for data analysis preferred.
At least 5 years' experience in suicide prevention and intervention
Data Scientist Iii Jobs
By Conde Nast At , New York, Ny $150,000 - $200,000 a year
Applicants should have a degree (B.S. or higher) in technical discipline or relevant professional experience
3-5+ years of machine learning experience in industry or academia
Experience in one or more areas of advanced data science (NLP, Deep Learning, Computer Vision, etc.)
Experience in statistical analysis and experiment design
Software development skills with proficiency in Python
Experience with machine learning frameworks such as TensorFlow, JAX, PyTorch, Spark MLlib, Keras, or scikit-learn

Are you an experienced Data Scientist looking to take your career to the next level? We are looking for a Data Scientist III to join our team and help us unlock the potential of our data. You will be responsible for developing and executing data-driven solutions to complex business problems, leveraging advanced analytics and machine learning techniques. If you have a passion for data and a drive to make an impact, this could be the perfect opportunity for you!

Overview Data Scientist III is a highly skilled professional who uses their expertise in data analysis and machine learning to develop and implement data-driven solutions to complex business problems. They are responsible for designing, developing, and deploying data-driven models and algorithms to solve complex problems, and for providing insights and recommendations to stakeholders. Detailed Job Description Data Scientist III is responsible for designing, developing, and deploying data-driven models and algorithms to solve complex problems. They are expected to have a deep understanding of data science and machine learning techniques, and be able to apply them to solve real-world problems. They must be able to communicate their findings and recommendations to stakeholders in a clear and concise manner. Job Skills Required
• Expertise in data analysis and machine learning
• Knowledge of statistical analysis and predictive modeling
• Ability to develop and implement data-driven solutions
• Ability to communicate complex data-driven insights and recommendations
• Proficiency in programming languages such as Python, R, and SQL
• Knowledge of data visualization tools such as Tableau and Power BI
Job Qualifications
• Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field
• 5+ years of experience in data science and machine learning
• Experience with big data technologies such as Hadoop, Spark, and NoSQL databases
• Experience with cloud computing platforms such as AWS and Azure
• Experience with data visualization tools such as Tableau and Power BI
Job Knowledge
• Knowledge of data mining techniques and algorithms
• Knowledge of machine learning techniques and algorithms
• Knowledge of statistical analysis and predictive modeling
• Knowledge of data visualization techniques
• Knowledge of big data technologies such as Hadoop, Spark, and NoSQL databases
• Knowledge of cloud computing platforms such as AWS and Azure
Job Experience
• 5+ years of experience in data science and machine learning
• Experience with data mining techniques and algorithms
• Experience with machine learning techniques and algorithms
• Experience with statistical analysis and predictive modeling
• Experience with data visualization techniques
• Experience with big data technologies such as Hadoop, Spark, and NoSQL databases
• Experience with cloud computing platforms such as AWS and Azure
Job Responsibilities
• Design, develop, and deploy data-driven models and algorithms to solve complex problems
• Analyze large datasets to identify patterns and trends
• Develop insights and recommendations from data analysis
• Communicate complex data-