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Workforce Australia for Individuals
Sydney, FL | Full Time
$95k-118k (estimate)
1 Week Ago
INGRITY
Sydney, FL | Full Time
$103k-126k (estimate)
1 Week Ago
Billigence
Sydney, FL | Contractor
$103k-126k (estimate)
2 Weeks Ago
InDebted
Sydney, FL | Full Time
$107k-131k (estimate)
9 Months Ago
Immutable
Sydney, FL | Full Time
$103k-127k (estimate)
Just Posted
Immutable
Sydney, FL | Full Time
$103k-127k (estimate)
Just Posted
Workforce Australia for Individuals
Sydney, FL | Full Time
$103k-126k (estimate)
1 Week Ago
Data Scientist
INGRITY Sydney, FL
$103k-126k (estimate)
Full Time 1 Week Ago
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INGRITY is Hiring a Data Scientist Near Sydney, FL

Salary: AUD 100,000 - 115,000 annually | Full Time If you are a talented Data Scientist who's passionate about transforming data into actionable insights. Join our esteemed team at INGRITY, where your expertise as a Data Scientist will be crucial for serving our clients. At INGRITY:Imagine the Impossible: It's not just an aspiration for our clients; we expect the same from our team.INGRITY isn't your typical workplace; we thrive on the fusion of Intelligence & Grit. Prioritising personal growth, open communication, continuous learning, career progression, and accountability, we're on the lookout for individuals like you. Do you seek roles fostering personal growth, allowing you to excel?Do you flourish in a culture that values open communication and diverse perspectives?Are you passionate about expanding your skills, eager to join a company that invests in employee development?Are integrity and accountability at the core of your values? If you answered yes to any of these questions, we invite you to explore opportunities with us and join a team committed to data smart excellence. About the job:We are looking for two aspiring Data Scientists to join our dynamic team. Your Responsibilities:
  • Working with business partners to identify and refine use cases.
  • Identifying, determining, and shaping data use cases
  • Determining appropriate analytical, statistical, or machine learning approaches to create value.
  • Performing analysis and creating prototypes
  • Communicating and influencing outcomes based on data.
  • Providing requirements to, and partnering with, technology/data engineering teams to productionise data prototypes
Key Skills & Experience:
  • 3 -5 years of working experience in the Data Science space in a fast-paced environment and complex business setting.
  • Interpreting, telling stories, and creating value with data.
  • Curious and business outcome-focused with an ability to quickly understand a business problem and work out how to solve it.
  • knowledge of Data Science principles and experience with data science methodologies.
  • Comfortable working across a wide range of data sets and systems.
  • Practical expertise applying statistical knowledge and machine learning to solve business problems through manipulating and analysing data with SQL and Python/ R.
  • Hand-on experience in Data Visualisation using Tableau/ Power BI.
  • Hands-on experience with statistical analysis and advanced machine learning methods.
  • Work with business users and clients' technical teams in defining the requirements and technical specifications for data transfer, ingestion, and transformation.
  • Ability to work independently and multi-task to meet critical deadlines in a rapidly changing environment.
  • Exceptional written, verbal, and interpersonal communication skills to be able to bridge the gap between business and technical teams.
Educational Qualification: Degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, IT, Data Science
About INGRITYWe are a fast-growing, progressive Sydney-based data & analytics company. We service many large corporates and SMBs in the financial services sector, to derive value from data. At Ingrity, we are committed to building a diverse and inclusive workforce to deliver value to customers. As a value-driven organisation, we nurture and support our people by having a laser-sharp focus on skill and talent development, collaboration, and flexibility.

Job Summary

JOB TYPE

Full Time

SALARY

$103k-126k (estimate)

POST DATE

05/20/2024

EXPIRATION DATE

06/09/2024

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INGRITY
Contractor
$88k-114k (estimate)
1 Week Ago

The job skills required for Data Scientist include Data Science, Machine Learning, Python, SQL, Computer Science, Collaboration, 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.

02/16/2022: Lansing, MI

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.

02/12/2022: San Diego, CA

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.

01/31/2022: Champaign, IL

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.

03/04/2022: Hialeah, FL

Step 3: View the best colleges and universities for Data Scientist.

Butler University
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