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Data Scientist
$117k-144k (estimate)
Full Time 2 Weeks Ago
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Highbury Defense Group, an Accelint company is Hiring a Data Scientist Near San Diego, CA

DescriptionHDG is in search of Data Scientists. In this position, team members will be tasked with crafting and deploying techniques or analytic applications to convert raw data into actionable insights, leveraging data-oriented programming languages and visualization software. As a Data Scientist in this role, you'll play a crucial part as a team member, bolstering assured Command and Control capabilities for our DoD customer within the Navy Information Warfare Systems Command (NAVWAR).
Duties
  • Utilize data mining, data modeling, natural language processing, and machine learning to extract and analyze insights from extensive structured and unstructured datasets.
  • Visualize, interpret, and communicate data findings effectively.
  • Generate dynamic data reports.
RequirementsQualifications:
  • Bachelor's degree and four years of professional experience in data science.
  • Relevant industry certifications include CompTIA Cloud Essentials, Microsoft Technical Associate (MTA), Certificate of Cloud Security (CCSK), CompTIA A , CompTIA Security , EMC Data Science Associate (EMCDSA), Cloudera Certified Data Scientist (CCDH), Certified Apache Hadoop Developer (HCAHD) (Hortonworks), Certified Information System Security Professional (CISSP), Certified Cloud Professional (CCP) (Cloudera), Microsoft Certified Professional Developer (MCPD), Microsoft Certified Solution Developer (MCSD), Microsoft Certified Solution Expert (MCSE) in Private Cloud, and Certified Administrator for Apache Hadoop (CCAH) (Cloudera).
  • Proficiency in software integration or testing, including analysis and implementation of test plans and scripts.
  • Skilled in frequent use of scripting languages such as Python and R, and utilizing packages commonly employed in data science and advanced analytics.
  • Experience with data science, data mining, statistics, or graph algorithms to support analytics objectives.
  • Competence in applying Structured Query Language (SQL), Non-Structured Query Language (NoSQL), Application Program Interface (API) Building, Extract, Transform, and Load (ETL) pipelines, Web Application Servers, or Search Index.
  • Familiarity with programming languages and products like Python, Jupyter Notebook, Pandas, Numpy, Requests, or Antigravity.
  • Proficiency in applying complex mathematical and statistical concepts, as well as statistical and operations research methods and tools.
Salary at Highbury Defense is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements This is a contingent position expected to be in San Diego, CA. The pay range for the position will be provided at the time the position is no longer contingent.
We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.

Job Summary

JOB TYPE

Full Time

SALARY

$117k-144k (estimate)

POST DATE

06/09/2024

EXPIRATION DATE

07/01/2024

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Highbury Defense Group, an Accelint company
Full Time
$49k-61k (estimate)
1 Month Ago

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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