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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.
Additional Preferred Skills:
• Experience with deep learning frameworks such as TensorFlow or PyTorch.
• Knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
• Familiarity with big data technologies such as Kafka, Hive, or Cassandra.
• Experience in specific domain areas such as healthcare, finance, e-commerce, or telecommunications.
Contractor
Business Services
$127k-157k (estimate)
06/15/2024
09/09/2024
zenithservices.com
HOPKINS, MN
100 - 200
Private
$10M - $50M
Business Services
The job skills required for Data Scientist 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. 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. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Scientist positions, which can be used as a reference in future career path planning. As a Data Scientist, it can be promoted into senior positions as a Data Scientist III that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist. You can explore the career advancement for a Data Scientist below and select your interested title to get hiring information.
If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Scientist job description and responsibilities
Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.
12/22/2021: Dallas, TX
Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.
02/17/2022: Lompoc, CA
A data scientist develops software to structure the raw data.
02/16/2022: Lansing, MI
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.
02/12/2022: San Diego, CA
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.
02/01/2022: Peoria, IL
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.
Career tips from people on Data Scientist jobs
Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.
01/31/2022: Passaic, NJ
Data scientists lay a solid foundation to help perform all kinds of analysis.
01/31/2022: Champaign, IL
Data scientists are also expected to have stronger software engineering skills that data analysts.
02/19/2022: Springfield, OR
Business analysts are focused on reporting, just like data analysts.
02/04/2022: Jamestown, NY
A data scientist should understand the assumptions that need to be met for each statistical test.
03/04/2022: Hialeah, FL
Step 3: View the best colleges and universities for Data Scientist.