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Data Scientist
$123k-151k (estimate)
Full Time 1 Month Ago
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Novul Solutions is Hiring a Data Scientist Near Reston, VA

We are seeking a highly skilled and cleared Data Engineer to join our team in support of government projects in Reston, VA. This critical role focuses on the development, implementation, and optimization of data-driven solutions and algorithms. The ideal candidate will have a robust background in Python and PyTorch, experience with Flask, and a solid understanding of REST APIs. A background in statistics and a basic understanding of Natural Language Processing (NLP) are essential.

Key Responsibilities:

  • Translate mission needs into technical requirements.

  • Triage and troubleshoot data issues.

  • Prepare task plans, documentation, and reports on activities.

  • Work independently and collaboratively within a team environment.

  • Manage sensitive data transfer and handling.

  • Coordinate with technical teams across organizational boundaries.

  • Document and communicate technical and non-technical requirements.

  • Plan and coordinate program management activities (e.g., reviews, boards, and meetings).

  • Provide support in technical writing, editing, and integration.

  • Track and ensure the completion of action items.

  • Define user requirements for analysts or operational customers.

Requirements

  • Proficiency in Python and PyTorch.

  • Knowledge of Flask with the ability to become proficient quickly.

  • Familiarity with REST APIs.

  • Background/experience in statistics.

  • Basic understanding of Natural Language Processing (NLP).

Preferred Skills and Experiences:

  • Experience in developing, deploying, and evaluating testing and verification methodologies for algorithm performance.

  • Experience with NLP, CNNs, LLMs, or foundational models.

  • Proficiency in deploying machine learning models on multimedia data.

  • Linux System Administration and scripting (bash).

  • Android configuration, software development, and interfacing experience.

  • Experience with embedded systems (e.g., Raspberry Pi).

Benefits

Paid Time and Flexibility

  • Paid Time Off (PTO): Enjoy up to 10 paid days off plus an additional 5 floating days each year, offering flexibility and work-life balance.

  • Holidays: Benefit from 11 paid holidays, with the option to use flex time instead, accommodating personal preferences and needs.

  • Flexibility in Work Hours: Tailored to support work-life balance, enhancing employee satisfaction and productivity.

Financial and Retirement Benefits

  • Bi-Monthly Payroll: Consistent and reliable pay schedule, ensuring financial stability.

  • Retirement Savings Plan (401[k]): A partnership with one of the top retirement plan providers in the U.S., featuring a guaranteed 3% match, fostering long-term financial security. Eligibility criteria include being 21 years or older, with plan participation starting after 3 months of employment.

  • Performance and Recognition Awards: Quarterly individual or company-wide awards, acknowledging and rewarding excellence.

Health and Wellness

  • UnitedHealthcare PPO Plan: Comprehensive national coverage, including medical, dental, vision, and Health Savings Account (HSA) options. Coverage begins on the first of the month following your start date. Enrollment must be completed within 30 days of starting to avoid waiting for the annual enrollment period in October.

Career Development and Commuter Support

  • Career Advancement: Offers reimbursement for tuition and training essential for career growth, promoting continuous learning and development.

  • Commuter Benefits: A $150 monthly contribution towards parking expenses, easing the commute. Receipts are required by the 25th of each month, with reimbursements processed in the following payroll.

Bonus Programs

  • Performance-Based Bonuses: Project-specific bonuses that reward individual contributions to the company's success.

Annual Company-Wide Bonus: Reflects the company's overall performance, sharing success across the team.

Job Summary

JOB TYPE

Full Time

SALARY

$123k-151k (estimate)

POST DATE

03/09/2024

EXPIRATION DATE

05/08/2024

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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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