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Please find the Job description. If this is of your interest kindly share resume along with expected bill rates on C2CW2 contract rates along with your Visa status and send it to manju@
Role : Ph. D Data Scientists
Location : NYC ( Day 1 Onsite)
Duration : Longterm Contract
Job Description:
As a Data Scientist with a Ph.D., this role will be multifaceted, involving advanced data analysis, statistical modeling, and algorithm development. Person will be responsible for deriving insights from complex datasets, guiding decision-making processes, and driving innovation within the organization.
Responsibilities:
Data Analysis and Exploration:
Utilize advanced statistical techniques to analyze large datasets and extract actionable insights.
Develop algorithms and models to identify patterns, trends, and correlations within the data.
Statistical Modeling:
Design and implement predictive models using machine learning algorithms such as regression, classification, clustering, and time series analysis.
Validate models for accuracy, reliability, and robustness.
Algorithm Development:
Develop and optimize algorithms for data mining, feature extraction, and anomaly detection.
Collaborate with cross-functional teams to deploy algorithms into production systems.
Research and Development:
Stay abreast of the latest advancements in data science, machine learning, and related fields.
Conduct research to explore novel approaches and techniques for solving complex data-related problems.
Data Visualization and Communication:
Present findings and insights to stakeholders using compelling data visualizations, reports, and presentations.
Collaborate with business teams to translate analytical findings into actionable recommendations.
Data Governance and Ethics:
Ensure compliance with data governance policies and regulations.
Uphold ethical standards in data collection, analysis, and usage.
Qualifications:
Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related field.
Strong background in statistical analysis, machine learning, and data mining techniques.
Proficiency in programming languages such as Python, R, or Julia.
Experience with data manipulation and visualization tools like SQL, Pandas, Matplotlib, and Tableau.
Ability to work with large-scale datasets and distributed computing frameworks such as Hadoop, Spark, or Dask.
Excellent communication and collaboration skills, with the ability to convey complex technical concepts to non-technical stakeholders.
Strong problem-solving skills and a passion for tackling real-world challenges using data-driven approaches.
Manjunath
Staffing Manager
Ph:732-993-5319 / Email:manju@
LinkedIn:
Website:
Address: 2525 US Highway 130, Bldg D, Suite2 Cranbury, NJ-08512
USA | CANADA | INDIA
MBE Certified Company , E Verify Company
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Full Time
$129k-159k (estimate)
05/28/2024
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The following is the career advancement route for Senior Data Scientist positions, which can be used as a reference in future career path planning. As a Senior Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Data Scientist. You can explore the career advancement for a Senior Data Scientist below and select your interested title to get hiring information.
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Collating and cleaning data from various entities for later use by junior data scientists.
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Delegating tasks to Junior Data Scientists in order to realize the successful completion of projects.
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They also monitor the performance of Junior Data Scientists and providing them with practical guidance, as needed.
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May also be tasked in selecting and employing advanced statistical procedures to obtain actionable insights.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
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Present final result to stakeholders. Make adjustments based on feedback.
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Learn the required skills to become a data scientist.
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Review additional data scientist certifications and post-graduate learning.
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Ask the right questions to begin the discovery process.
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Choose one or more potential models and algorithms.
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Step 3: View the best colleges and universities for Senior Data Scientist.