Data Scientist Job Description

‍

Job Brief

‍

We are currently searching a candidate to fill the Data Scientist position in our firm. The professional must acquire analytical, statistical, and programming skills to gather significant volumes of data. It would be their obligation to use data to create solutions that are precisely matched to the demands of the organization.

‍

The applicant needs to examine massive unstructured datasets to spot trends that can enhance our business and generate huge revenues. You should be extremely analytical in this position and educated in analysis, math, and statistics. For interpreting data, critical thinking and problem-solving abilities are crucial.

‍

In addition, the applicant must be knowledgeable of AI tools to automate specific processes within the organization and develop a smart solution to help the business compete in the market.Your objective will be to assist our business in trend analysis so that we may make smart selections.

‍

‍

Roles and Responsibilities

‍

‍

• Large-scale data gathering, cleansing, and organization from multiple sources
• Creation and application of statistical models and algorithms for data analysis and prediction
• Utilizing data visualization techniques where necessary to clearly and concisely provide findings and insights to stakeholders
• Handling both structured and unstructured data in preprocessing
• Clearly presenting the results
• Providing approaches and techniques for dealing with corporate challenges
• Creating and deploying machine learning models for a range of applications, including fraud detection, consumer segmentation, and predictive maintenance
• Keeping abreast of the most recent developments in data science and adopting new methods as necessary in your work.

‍

‍

Requirements and Skills

‍

‍

• Legitimate experience as a Data Scientist or Data Analyst
• Data mining expertise Knowledge of operations research and machine learning
• R, SQL, and Python expertise is required; knowledge of Scala, Java, or C++ is advantageous.
• knowledge of data frameworks and business intelligence tools, such as Tableau (e.g., Hadoop)
• Mind for analysis and business sense
• good math abilities (e.g., statistics, algebra, probability)
• Capable of problem-solving
• Strong presentation and communication abilities
• An advanced degree in data science or another quantitative discipline is desired; a BSc or BA in computer science, engineering, or a related field is required.

‍

‍

Average Salary

‍

Depending on experience, region, industry, organizational needs, and other considerations, the average income for a data scientist in the United States is roughly $120,000 per year. According to Glassdoor, the average pay for a data scientist is approximately $140,000 in San Francisco, while it is closer to $120,000 in New York and Seattle.

‍

‍

Common Data Scientist Job Titles

‍

The most common careers in Data Scientists includes the following roles mentioned below, and many organizations require candidates to pass a Data Scientist Assessment as part of the hiring process.

‍

Following are the common Data Scientist job titles

‍

• Data Analysts: Data analysts manipulate big data sets and utilize them to find patterns and draw conclusions that will help them make smart business decisions.

• Data Scientists: Data scientists mainly create algorithms and predictive models and execute customized analyses using data modeling procedures.

• Data Analysts: Data analysts work with large data sets to identify trends and draw conclusions that might guide them in making wise business decisions.

• Data Engineers: Transfer data to data warehouses once it has been cleaned, collected, and organized from various sources.

• Business Intelligence Specialists: Identify trends in data sets.

• Data Architects: They plan, develop, and oversee a company's data architecture.