4 Data Scientist Jobs in Indiana, PA
Transaction Network Services is Hiring a Data Scientist Near Indiana, PA
OverviewTransaction Network Services (TNS), a subsidiary of Koch Industries, is seeking a skilled Senior Data Scientist to join our AI Labs. This role involves analyzing complex datasets, developing statistical and deep learning models, and implementing advanced machine learning solutions. The Senior Data Scientist will collaborate with cross-functional teams to extract insights from data and enhance data-driven decision-making across the organization.
ResponsibilitiesPrimary Responsibilities:
- Apply statistical analysis, machine learning, and deep learning techniques to solve international business problems.
- Develop, train, and deploy predictive models using current machine learning frameworks and tools.
- Perform data preprocessing, feature engineering, and exploratory data analysis to discover patterns and trends.
- Collaborate with domain experts and stakeholders to interpret business requirements and deliver analytical solutions.
- Use cloud engineering principles to create and deploy scalable AI solutions in cloud environments.
- Work with software engineers to integrate machine learning models into production environments.
- Implement MLOps practices to facilitate model training, deployment, and monitoring.
- Communicate complex findings and insights to both technical and non-technical stakeholders through clear reports and visual presentations.
- For this role, we anticipate paying $135,000k - $165,000 annually. This role is eligible for variable pay, issued as a monetary bonus or in another form. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate’s knowledge, skills, abilities, and geographic location. TNS offers a competitive benefit package including medical and dental coverage, life insurance, paid holidays and vacations, and a 401K plan with company match.
- Advanced degree in Computer Science, Machine Learning, Statistics, or a related field.
- 5 years of professional experience in a data science role, with an emphasis on writing production grade code.
- Experience handling large datasets with attention to data privacy and security.
- Skills in mathematical programming and optimization.
- Proficiency in Python and familiarity with key data science and machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with MLOps practices and tools such as Docker, AWS (Amazon Web Services) EMR, or AWS Sagemaker.
- Experience in developing scalable data architectures in cloud settings.
- Good software engineering foundation. Experience with software development processes and tools, particularly Jira.
- Knowledge of big data technologies such as Hadoop, Spark, or Hive.
- Familiarity with programming languages such as Scala and Go.
- Proficient in written and verbal communication with international colleagues.
- Ability to articulate and interpret analytical results from developed applications.
TNS is an equal opportunity employer. TNS evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic.
Job Summary
Full Time
IT Outsourcing & Consulting
$99k-122k (estimate)
06/24/2024
08/05/2024
SHEFFIELD, ENGLAND
100 - 200
1994
SIMON JOHN KERSHAW
$50M - $200M
IT Outsourcing & Consulting
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The job skills required for Data Scientist include Data Science, Machine Learning, Python, Insight, Computer Science, Data Analysis, 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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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.
02/01/2022: Peoria, IL
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.
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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