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Data Scientist
Nitor Infotech Dallas, TX
$114k-140k (estimate)
Full Time | IT Outsourcing & Consulting 2 Weeks Ago
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Nitor Infotech is Hiring a Data Scientist Near Dallas, TX

Job Details

****Please Note this is a W2 role and not a Corp to corp role ***

Job role : Data scientist

Experience : 6-10 yrs

Location : Dallas (Hybrid)

Roles and responsibilities:

  • Applying analytical/technical expertise to translate business problems into actionable solutions.
  • Leading execution and automation of analytical projects to ensure that the outputs fulfill client requirements and expectations.
  • Performing ETL tasks and data analyses (exploratory, confirmatory and/or qualitative), which include wide use of statistical models/algorithms using Python.
  • Leveraging data mining and machine learning techniques to build statistical models across a broad spectrum of topics
  • Ensuring coding standards and approach is being followed and guiding the team where necessary.
  • Working with technology and various other partners. This includes integrating multiple systems and data sources to build large and complex data sets and making them usable for analytics studies (e.g. transforming and cleaning data, working with incomplete data sources, etc.)

The Ideal Candidate will have:

  • Master s Degree/ Bachelor s degree preferably in Statistics, Economics, Mathematics / B.tech in Computer science, IT
  • 6-10 years of experience in:
  • Utilizing Python for data science, visualization and project automation
  • Python Packages such as Pandas, Scikit-learn, Seaborn, Numpy, Plotly etc
  • Advanced SQL (or similar language for querying relational databases)
  • Expertise in ML algorithms: Classification Models, Clustering Models, time series forecasting, natural language processing using spacy, nltk etc.
  • Demonstrated ability to lead projects to timely delivery
  • Experience managing and working with large databases, data management, including understanding of various data structures and common methods in data transformation, data validation and audit
  • Demonstrated strong collaboration skills Analytics & Insights is a team sport. Ability to manage and work with structured and unstructured data with accuracy
  • Ability to multitask and work with a large team at the same time.
  • Demonstrated strong attention to detail, problem-solving, and critical thinking. Adaptive to matrix work environment

Job Summary

JOB TYPE

Full Time

INDUSTRY

IT Outsourcing & Consulting

SALARY

$114k-140k (estimate)

POST DATE

06/05/2024

EXPIRATION DATE

08/04/2024

WEBSITE

nitorinfotech.com

HEADQUARTERS

PUNE CITY, MAHARASHTRA

SIZE

500 - 1,000

FOUNDED

2006

CEO

CHANDRASHEKHAR EKNATH POTNIS

REVENUE

$5M - $10M

INDUSTRY

IT Outsourcing & Consulting

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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.

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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 IV 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.

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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.

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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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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.

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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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Step 3: View the best colleges and universities for Data Scientist.

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