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Internship Time Series Forecasting Jobs in Indiana

Senior Data Scientist

Columbus, IN Β· On-site

$80K - $90K/yr

... time series forecasting and anomaly detection. β€’ Hands-on knowledge of data visualization tools like Tableau, Power BI, or D3.js. β€’ Strong communication and collaboration skills, with experience ...

Senior Data Scientist

Carmel, IN Β· On-site

$119K - $144K/yr

Experience developing machine learning and AI-driven predictive analytics, which may include regression and forecasting, classification and clustering, time-series forecasting, deep learning, natural ...

Senior Data Scientist

Carmel, IN Β· On-site

$119K - $144K/yr

Experience developing machine learning and AI-driven predictive analytics, which may include regression and forecasting, classification and clustering, time-series forecasting, deep learning, natural ...

Proven experience applying a range of machine learning techniques (e.g., gradient boosting, clustering, NLP, time-series forecasting) to real-world problems. * Data Visualization and Communication:

... forecasting) for detecting anomalies in high-volume operational data. * Hands-on experience developing, fine-tuning, or adapting foundation models for domain-specific data such as logs, time-series ...

Excellent time-management skills * Interest in financial literacy and planning tools * Business ... Support for SIE, Series 6, Series 63 registrations (eligibility required)

Excellent time-management skills * Interest in financial literacy and planning tools * Business ... Support for SIE, Series 6, Series 63 registrations (eligibility required)

Excellent time-management skills * Interest in financial literacy and planning tools * Business ... Support for SIE, Series 6, Series 63 registrations (eligibility required)

Excellent time-management skills * Interest in financial literacy and planning tools * Business ... Support for SIE, Series 6, Series 63 registrations (eligibility required)

Excellent time-management skills * Interest in financial literacy and planning tools * Business ... Support for SIE, Series 6, Series 63 registrations (eligibility required)

... time series, index numbers, and quality control charts. Ability to explain statistical decision-making, correlation versus causation, and forecasting models while preparing students for data-driven ...

Excellent time-management skills * Interest in financial literacy and planning tools * Business ... Support for SIE, Series 6, Series 63 registrations (eligibility required)

Excellent time-management skills * Interest in financial literacy and planning tools * Business ... Support for SIE, Series 6, Series 63 registrations (eligibility required)

Excellent time-management skills * Interest in financial literacy and planning tools * Business ... Support for SIE, Series 6, Series 63 registrations (eligibility required)

Excellent time-management skills * Interest in financial literacy and planning tools * Business ... Support for SIE, Series 6, Series 63 registrations (eligibility required)

Excellent time-management skills * Interest in financial literacy and planning tools * Business ... Support for SIE, Series 6, Series 63 registrations (eligibility required)

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Internship Time Series Forecasting information

What is an internship in time series forecasting?

An Internship in Time Series Forecasting is a temporary position that allows students or recent graduates to gain hands-on experience analyzing and predicting data points over time. Interns typically work with historical datasets to identify trends, seasonality, and patterns, often using statistical or machine learning models. These internships provide valuable exposure to real-world forecasting challenges in industries such as finance, retail, or technology, and help interns develop both technical and analytical skills. Interns may also collaborate with data scientists and business analysts to support decision-making processes.

What do interns in time series forecasting do?

As an intern in time series forecasting, you can expect to work on projects involving the analysis and modeling of sequential dataβ€”such as sales figures, stock prices, or sensor readings. Common tasks include cleaning and visualizing time-based datasets, applying statistical and machine learning models (like ARIMA or LSTM), and evaluating model performance. Interns often collaborate with data scientists and analysts to interpret results, present findings, and help integrate forecasting models into business processes. These experiences provide valuable hands-on exposure to both the technical and collaborative aspects of data science.

What skills and qualifications are needed for an internship in time series forecasting?

To thrive as an Internship Time Series Forecasting, you need a solid background in statistics, data analysis, and programming, often supported by coursework or experience in mathematics, economics, or computer science. Familiarity with statistical software and programming languages such as Python or R, as well as tools like pandas, NumPy, and forecasting libraries (e.g., Prophet, ARIMA), is typically required. Strong problem-solving skills, attention to detail, and effective communication set candidates apart in this analytical role. These abilities are crucial for accurately analyzing data trends, communicating insights, and delivering reliable forecasts that support business decisions.

What is the difference between Internship Time Series Forecasting vs Data Analyst?

AspectInternship Time Series ForecastingData Analyst
Required CredentialsBasic knowledge of statistics, programming, and time series conceptsBachelor's degree in data-related fields, some roles may require certifications
Work EnvironmentInternship setting, often in finance, retail, or tech companiesFull-time or part-time roles in various industries, including finance, healthcare, and marketing
Employer & Industry UsageUsed for entry-level training and project support in forecasting tasksUsed for data analysis, reporting, and decision-making across industries

Internship Time Series Forecasting focuses on entry-level, project-based work involving forecasting models, while Data Analysts perform broader data analysis tasks, including reporting and insights. Both roles require analytical skills but differ in scope and experience level.

What are popular job titles related to Internship Time Series Forecasting jobs in Indiana?

For Internship Time Series Forecasting jobs in Indiana, the most frequently searched job titles are:

What cities in Indiana are hiring for Internship Time Series Forecasting jobs?

Cities in Indiana with the most Internship Time Series Forecasting job openings:

Senior Data Scientist

Columbus, IN β€’ On-site

MatchPoint Solutions
Software DevelopmentΒ β€’Β 201 - 500 employees

$80K - $90K/yr

Full-time

Posted 19 days ago


Job description

MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora, and more! More recently, we have expanded to working internationally in Canada, China, Ireland, UK, Brazil, and India. Through our culture of innovation, we inspire, build, and deliver business results, from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry-specific best practices and expertise.
We are excited to be continuously expanding our team. If you are interested in this position, please send over your updated resume. We look forward to hearing from you!
Job Title: Senior Data Scientist
Location: (Remote / Hybrid / On-site - City, Country) Columbus, IN
Employment Type: (Full-time / Part-time / Contract) Contract/ FTE
Pay Range: 80,000-90,000
Responsibilities:
Design and Develop Advanced Data Models: Design, develop, and deploy advanced data models and algorithms using machine learning, deep learning, and statistical techniques to drive business decisions.
β€’ Predictive Modeling: Develop and deploy predictive models using machine learning frameworks like scikit-learn,
TensorFlow, or PyTorch to forecast business outcomes.
β€’ Data Analysis and Interpretation: Analyze large datasets to identify trends, patterns, and correlations, and interpret
findings to inform business decisions.
β€’ Code Quality and Maintainability: Develop and maintain high quality, maintainable code using object-oriented
programming principles, ensuring scalability, efficiency, and reliability.
β€’ Data Visualization and Storytelling: Develop and maintain data visualizations and dashboards to communicate insights and findings to business stakeholders using tools like Tableau, AWS Quicksight, Power BI, or D3.js or others
depending on the requirement of the customer.
β€’ Communication and Collaboration: Collaborate with cross functional teams, including data engineering, data analytics, software developers, testers, cloud architects and business stakeholders to deliver complex data projects, ensuring alignment with business objectives and technical requirements.
Requirements:
Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related fields.
β€’ 5+ years of experience in data science, or related fields.
β€’ Strong expertise in machine learning & deep learning frameworks like scikit-learn, TensorFlow, or PyTorch.
β€’ Very good proficiency in SQL,Python, Pyspark for data science and ML.
β€’ Statistics & Math: Strong foundation in probability, statistical analysis, and optimization techniques.
Problem-Solving:
Ability to work on complex business challenges and translate data insights into actionable
solutions.
β€’ Experience with cloud-based data management (AWS, GCP, Azure).
β€’ Strong understanding of data architecture, data modeling, and data governance.
β€’ Experience in Predictive maintanance, time series forecasting and anomaly detection.
β€’ Hands-on knowledge of data visualization tools like Tableau, Power BI, or D3.js.
β€’ Strong communication and collaboration skills, with experience working in cross-functional teams.
β€’ Experience with Agile development methodologies and version control systems (e.g., Git).
β€’ Good to have experience in automotive domain.
MatchPoint Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.