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Data Scientist
$103k-127k (estimate)
Full Time | Business Services 1 Week Ago
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Abacus is Hiring a Data Scientist Near , FL

Abacus is looking for a Data Scientist that will sit REMOTELY. We are seeking a talented and experienced individual to join our dynamic team focused on consumer product returns. The ideal candidate will possess strong analytical and problem-solving skills, with a passion for extracting meaningful insights from complex datasets. As a Data Scientist, you will play a crucial role in shaping data-driven decision-making processes, contributing to the development of innovative solutions, and leveraging advanced statistical and machine learning techniques.

Responsibilities

1. Data Analysis:

  • Analyze large and complex datasets to identify trends, patterns, and insights.
  • Develop and implement statistical models and machine learning algorithms.

2. Predictive Modeling:

  • Build predictive models to forecast future trends and outcomes.
  • Evaluate model performance and continuously refine algorithms for improved accuracy.

3. Data Exploration:

  • Conduct exploratory data analysis to uncover hidden relationships within the data.
  • Collaborate with cross-functional teams to understand business requirements.

4. Data Visualization:

  • Create visually appealing and informative data visualizations to communicate findings.
  • Present complex analyses and insights to both technical and non-technical stakeholders.

5. Feature Engineering:

  • Identify and engineer relevant features to enhance model performance.
  • Work closely with data engineers to optimize data pipelines for efficiency.

6. Collaboration:

  • Collaborate with cross-functional teams including software engineers, product managers, and business analysts.
  • Provide data-driven insights to support strategic decision-making processes.

7. Continuous Learning:

  • Stay updated on the latest advancements in data science and machine learning.
  • Apply new methodologies and technologies to enhance analytical capabilities.

8. Leading:

  • Serve as backup to CIO.
  • Assist, as needed, in shaping strategy and managing development and support resources.

Qualifications

  • Proven experience as a Data Scientist, with a strong portfolio of successful projects.
  • Proficiency in programming languages such as Python or R.
  • Solid understanding of statistical modeling, machine learning, and data mining techniques.
  • Experience with data visualization tools (e.g., PowerBI, Tableau, matplotlib, seaborn).
  • Strong communication skills with the ability to convey complex findings to both technical and non-technical audiences.
  • Prior experience managing IT functions at a small business.
  • Excellent problem-solving and critical-thinking abilities.
  • Ability to communicate with - and present to - customers and businesses stakeholders.

Preferred Qualifications:

  • Industry certifications in data science or related fields.
  • Experience working with big data technologies (e.g., Hadoop, Spark).
  • Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch).

If you are a highly motivated and analytical individual with a passion for turning data into actionable insights, we encourage you to apply and be a key player in shaping our data-driven future.

Job Type: Full-time

Pay: $150,000.00 - $200,000.00 per year

Benefits:

  • 401(k)
  • Dental insurance
  • Health insurance
  • Paid time off
  • Vision insurance

Experience level:

  • 3 years
  • 4 years
  • 5 years

Schedule:

  • 8 hour shift
  • Day shift
  • Monday to Friday

Experience:

  • Python: 1 year (Preferred)
  • SQL: 1 year (Preferred)

Ability to Commute:

  • Florida (Required)

Ability to Relocate:

  • Florida: Relocate before starting work (Required)

Work Location: In person

Job Summary

JOB TYPE

Full Time

INDUSTRY

Business Services

SALARY

$103k-127k (estimate)

POST DATE

05/19/2024

EXPIRATION DATE

05/30/2024

WEBSITE

abacuscorporation.com

HEADQUARTERS

YORK, PA

SIZE

3,000 - 7,500

FOUNDED

1944

TYPE

Private

CEO

TYLER LITTLETON

REVENUE

$200M - $500M

INDUSTRY

Business Services

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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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