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Data Scientist
Ascendion Dallas, TX
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$107k-132k (estimate)
Full Time 1 Week Ago
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Ascendion is Hiring a Data Scientist Near Dallas, TX

About Ascendion

Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000 Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next. Ascendion | Engineering to elevate life

We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:

  • Build the coolest tech for world’s leading brands
  • Solve complex problems – and learn new skills
  • Experience the power of transforming digital engineering for Fortune 500 clients
  • Master your craft with leading training programs and hands-on experience

Experience a community of change-makers!

Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.

About the Role:

Job Title : Data Scientist

Key Responsibilities:

  • Translate business problems into actionable solutions using analytical/technical expertise.
  • Lead and automate analytical projects to meet client requirements.
  • Perform ETL tasks and data analyses using statistical models/algorithms in Python.
  • Build statistical models with data mining and machine learning techniques.
  • Ensure coding standards are followed, guiding the team as needed.
  • Integrate multiple systems and data sources to create usable data sets for analytics.

Minimum Qualifications:

  • Python for data science, visualization, and automation.
  • Python packages like Pandas, Scikit-learn, Seaborn, Numpy, Plotly.
  • Advanced SQL or similar language.
  • Expertise in ML algorithms: Classification, Clustering, Time Series Forecasting, NLP using Spacy, NLTK.
  • Master’s/Bachelor’s degree in Statistics, Economics, Mathematics, or B.Tech in Computer Science/IT.

Desired Qualifications:

  • Proven project leadership and timely delivery.
  • Experience managing large databases and data structures, with strong data transformation and validation skills.
  • Strong collaboration, multitasking, attention to detail, problem-solving, and critical thinking skills.
  • Ability to work in a matrix environment with both structured and unstructured data.

Location : Dallas, TX

Salary Range : The salary for this position is between $120,000 – $130,000 annually. Factors which may affect pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate.

Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [401(k) retirement plan] [long-term disability insurance] [short-term disability insurance] [5 personal days accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertains to the City/ State] [10-15 days of paid vacation time] [6 paid holidays and 1 floating holiday per calendar year] [Ascendion Learning Management System]

Want to change the world? Let us know.

Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let’s talk!

Job Summary

JOB TYPE

Full Time

SALARY

$107k-132k (estimate)

POST DATE

06/12/2024

EXPIRATION DATE

06/30/2024

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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.

01/31/2022: Passaic, NJ

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.

02/19/2022: Springfield, OR

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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