187 Data Scientist (AI/ML) Jobs in New York, NY
AK Group is Hiring a Data Scientist (AI/ML) Near New York, NY
We are seeking a highly skilled and motivated Data Scientist with Health/Biosciences experience to join our team. As a Data Scientist, you will be responsible for analyzing complex datasets, developing machine learning models, and providing actionable insights to drive business decisions. If you have a strong background in data analysis, programming, and statistical modeling, we encourage you to apply.
Job Duties:
- Analyze large datasets using advanced statistical techniques and machine learning algorithms.
- Develop predictive models and algorithms to solve complex business problems.
- Collaborate with cross-functional teams to identify opportunities for leveraging data-driven insights.
- Design and implement data pipelines for efficient data extraction, transformation, and loading (ETL).
- Conduct exploratory data analysis to uncover patterns, trends, and anomalies.
- Communicate findings and insights to stakeholders through clear and concise reports and presentations.
- Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence (AI) technologies.
Preferred Qualifications:
- Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. Master's degree preferred.
- Strong programming skills in languages such as Python, R, or VBA.
- Proficiency in SQL for data manipulation and extraction.
- Experience with big data technologies such as Hadoop or AWS.
- Knowledge of machine learning frameworks like TensorFlow or scikit-learn.
- Solid understanding of statistical modeling techniques and their applications.
- Excellent problem-solving skills with the ability to think analytically and creatively.
- Strong communication skills with the ability to present complex ideas to both technical and non-technical stakeholders.
We offer competitive compensation packages and opportunities for professional growth. Join our team of talented Data Scientists and contribute to cutting-edge analytics projects that drive innovation.
Please note that only qualified candidates will be contacted for further consideration.
Job Type: Full-time
Pay: $137,469.00 - $151,865.00 per year
Benefits:
- Professional development assistance
Ability to Relocate:
- New York, NY 10010: Relocate before starting work (Required)
Work Location: Hybrid remote in New York, NY 10010
Job Summary
Full Time
Wholesale
$107k-131k (estimate)
03/27/2024
07/23/2024
akcengineers.com
200 - 500
2004
MARCEL MASCARENHAS
$50M - $200M
Wholesale
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The job skills required for Data Scientist (AI/ML) include Data Science, Machine Learning, Python, Insight, Algorithms, SQL, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Scientist (AI/ML). That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Scientist (AI/ML). Select any job title you are interested in and start to search job requirements.
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Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.
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Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.
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A data scientist develops software to structure the raw data.
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Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.
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Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.
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Career tips from people on Data Scientist jobs
Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.
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Data scientists lay a solid foundation to help perform all kinds of analysis.
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Data scientists are also expected to have stronger software engineering skills that data analysts.
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Business analysts are focused on reporting, just like data analysts.
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A data scientist should understand the assumptions that need to be met for each statistical test.
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