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Exadel, Inc.
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Data Scientist
Exadel, Inc. Brazil, IN
$100k-123k (estimate)
Full Time | Software & Cloud Computing 2 Days Ago
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Exadel, Inc. is Hiring a Data Scientist Near Brazil, IN

We seek an experienced Data Scientist to join our professional team. This is a tempting offer if you’re looking for a reliable company with a positive, friendly environment and exciting opportunities for personal and professional growth.

Work at Exadel - Who We Are 

Since 1998, Exadel has been engineering its products and custom software for clients of all sizes. Headquartered in Walnut Creek, California, Exadel has 2,800 employees in development centers across America, Europe, and Asia. Our people drive Exadel’s success and are at the core of our values.

About Our Customer

The oncology-focused health informatics solutions company aims to help patients access the best treatments by leveraging clinical data to accelerate the discovery and delivery of personalized therapies. Their approach transforms cancer care by applying genome analysis of patient-derived tumor specimens and translating novel molecular findings with clinical insights to actualize precision oncology therapeutics and diagnostics.

Requirements

  • 6 years of background in machine learning and deep learning techniques to develop predictive models and algorithms for solving complex business problems
  • 4 years of experience with implementing and fine-tuning machine learning models, including deep neural networks, to achieve high levels of accuracy and performance
  • 4 years of expertise in deploying machine learning models into production environments, monitoring, and maintaining using ML Ops practices
  • Competency in leveraging pre-trained large language models (LLMs) and foundation models for natural language processing tasks, such as chatbots or Retrieval Augmented Generation Models
  • 2 years of proficiency in developing algorithms and techniques using computer vision for image segmentation and feature detection
  • Skills in working with large-scale datasets using tools such as SQL, Python, R, and Azure services

English level

Intermediate

Responsibilities

  • Working closely with other data scientists and engineers to design, develop, and deploy solutions
  • Solve complex business problems
  • Analyzing large datasets to identify patterns and trends
  • Collaborating with cross-functional teams to ensure solutions are aligned with business goals and customer needs
  • Working with product leaders to apply data science solutions

Advantages of Working with Exadel

Transparent Career Roadmap

  • The HR manager accompanies each employee on their first steps in the company and assists them in achieving future professional goals
  • Your career growth is in your hands, so each Exadeller decides when to level up and initiate performance assessments. The management team supports career planning and the discovery of new tech stacks and languages

Learning & Development Opportunities

  • We believe in nurturing talent and fostering growth. That's why we budget every year for your continuous learning journey. From professional development courses to books and certification, we're invested in your success
  • Employees participate actively and benefit from the knowledge-sharing environment across seven practice units: Digital Marketing Technologies, Content Marketing, AI, QA, QAA, Agile, and DevOps
  • Employees can find recordings from meetups and trainings on Exadel’s Internal Learning System

Work & Life Balance

  • Each Exadeller is in charge of managing their workflow independently without being micromanaged at every step; it is, however, important that an employee always attends meetings, logs their time, and meets deadlines
  • Operating from the office, or remotely, depends on which mode the employee prefers. Hybrid or remote mode staff will receive the necessary equipment before their first working day. For those who prefer to work in the office, the office network offers up-to-date equipment, good facilities, and a warm, collaborative environment
  • The team meets at two annual team-building events across locations; in addition, there are team events such as Pizza Days, Programmer’s Day, informal meetups, board game parties, and sports initiatives

Employee Perks & Bonuses

  • The Exadel referral program covers all regions and involves recognition for hired recommended professionals. Depending on the location and the position, an employee receives a monetary bonus for recommending a candidate to Exadel who ends up being hired
  • Employees collect coins for numerous project activities, exchanging them for products or services of their choice available at the Exadel store
  • Volunteers for mentoring, interviewing, performing assessments, and participating in community meet-ups, get additional monetary bonuses
  • Location-dependent, Exadellers can access benefit platforms with vouchers for online stores, medical insurance reimbursement, sports membership fees, vacations, and childbirth bonuses

Job Summary

JOB TYPE

Full Time

INDUSTRY

Software & Cloud Computing

SALARY

$100k-123k (estimate)

POST DATE

06/06/2024

EXPIRATION DATE

08/04/2024

WEBSITE

exadel.com

HEADQUARTERS

WALNUT CREEK, CA

SIZE

<25

FOUNDED

1998

TYPE

Private

CEO

FIMA KATZ

REVENUE

$50M - $200M

INDUSTRY

Software & Cloud Computing

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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.

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.

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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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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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