Role Summary We are seeking a technically strong and business-oriented Senior Data Scientist to own our forecasting and planning initiatives. With a focus on forecasting as it relates to planning and ...
Role Summary We are seeking a technically strong and business-oriented Senior Data Scientist to own our forecasting and planning initiatives. With a focus on forecasting as it relates to planning and ...
Data Scientist - Demand Forecasting
Plano, TX · On-site
$115 - $130/hr
About the role As a Data Scientist - Demand Forecasting , you will make an impact by developing, optimizing, and operationalizing advanced forecasting models that support strategic business planning ...
Data Scientist - Demand Forecasting
Plano, TX · On-site
$115 - $130/hr
About the role As a Data Scientist - Demand Forecasting , you will make an impact by developing, optimizing, and operationalizing advanced forecasting models that support strategic business planning ...
About the role As a Data Scientist - Demand Forecasting , you will make an impact by developing, optimizing, and operationalizing advanced forecasting models that support strategic business planning ...
About the role As a Data Scientist - Demand Forecasting , you will make an impact by developing, optimizing, and operationalizing advanced forecasting models that support strategic business planning ...
Data Scientist
Dallas, TX · On-site
You find anomaly patterns others miss, propose forecasting solutions before anyone asks, and take ... Build scalable, maintainable data science solutions with clean architecture, disciplined testing ...
Data Scientist
Dallas, TX · On-site
You find anomaly patterns others miss, propose forecasting solutions before anyone asks, and take ... Build scalable, maintainable data science solutions with clean architecture, disciplined testing ...
As a Senior Data Scientist, your archetype is a Business Decision Scientist. Your passions include building a framework to stitch cross domains learning and optimizing them toward mission-specific ...
As a Senior Data Scientist, your archetype is a Business Decision Scientist. Your passions include building a framework to stitch cross domains learning and optimizing them toward mission-specific ...
Data Scientist
Dallas, TX · On-site
You find anomaly patterns others miss, propose forecasting solutions before anyone asks, and take ... Build scalable, maintainable data science solutions with clean architecture, disciplined testing ...
Data Scientist
Dallas, TX · On-site
You find anomaly patterns others miss, propose forecasting solutions before anyone asks, and take ... Build scalable, maintainable data science solutions with clean architecture, disciplined testing ...
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...
Data Scientist
Duncanville, TX · On-site
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...
Data Scientist
Duncanville, TX · On-site
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...
Data Scientist
Mesquite, TX · On-site
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...
Data Scientist
Mesquite, TX · On-site
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...
Data Scientist
Richardson, TX · On-site
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...
Data Scientist
Richardson, TX · On-site
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...
Data Scientist
Desoto, TX · On-site
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...
Data Scientist
Desoto, TX · On-site
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...
Data Scientist
Garland, TX · On-site
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...
Data Scientist
Garland, TX · On-site
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...
Data Scientist
Wilmer, TX · On-site
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...
Data Scientist
Wilmer, TX · On-site
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...
Data Scientist
Dallas, TX · On-site
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...
Data Scientist
Dallas, TX · On-site
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...
Data Scientist
Farmers Branch, TX · On-site
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...
Data Scientist
Farmers Branch, TX · On-site
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...
Experience in time-series forecasting, causal inference, feature engineering, and advanced data ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...
Assistant Data Scientist Forecasting information
What does an assistant data scientist forecasting do?
An Assistant Data Scientist in Forecasting helps analyze historical data and uses statistical models or machine learning techniques to predict future trends or outcomes. Their tasks often include data cleaning, exploratory analysis, feature engineering, and supporting the development and validation of forecasting models. They work under the guidance of more experienced data scientists and may also help communicate results to stakeholders. This role is essential for businesses looking to make data-driven decisions about sales, inventory, demand, or other key metrics.
What are the key skills and qualifications needed to thrive as an assistant data scientist forecasting?
To thrive as an Assistant Data Scientist Forecasting, you need a solid foundation in statistics, data analysis, and forecasting methods, typically supported by a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with tools like Python, R, SQL, and forecasting libraries (e.g., Prophet, ARIMA), as well as experience with data visualization platforms, is essential. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex results and present actionable insights. These competencies are crucial to generate accurate forecasts that guide business decisions and drive organizational success.
What are some typical challenges assistant data scientists face when working on forecasting projects?
Assistant Data Scientists in forecasting often encounter challenges such as handling incomplete or noisy datasets, selecting appropriate modeling techniques, and tuning models for accuracy. They may also need to balance competing priorities between speed and precision, especially when deadlines are tight. Close collaboration with senior data scientists and domain experts is common, as it helps ensure that forecasts are both technically sound and aligned with business goals. Developing strong communication skills is essential for presenting complex findings to non-technical stakeholders.
What is the difference between Assistant Data Scientist Forecasting vs Data Scientist Forecasting?
| Aspect | Assistant Data Scientist Forecasting | Data Scientist Forecasting |
|---|---|---|
| Required Credentials | Bachelor's degree in Data Science, Statistics, or related field; some roles may prefer a master's | Master's or PhD in Data Science, Statistics, or related field; strong programming skills |
| Work Environment | Supportive team, entry to mid-level projects, supervised tasks | Independent project work, complex analysis, strategic decision-making |
| Employer & Industry Usage | Tech companies, finance, retail, healthcare; entry to mid-level roles | Research institutions, large corporations, specialized analytics teams |
The Assistant Data Scientist Forecasting role typically involves supporting forecasting projects under supervision, focusing on data preparation and basic modeling. In contrast, a Data Scientist Forecasting leads complex forecasting models, interprets results, and influences strategic decisions. The roles differ mainly in experience level, scope of responsibilities, and independence.
What are the most commonly searched types of Data Scientist Forecasting jobs in Texas?
The most popular types of Data Scientist Forecasting jobs in Texas are:
What cities in Texas are hiring for Assistant Data Scientist Forecasting jobs?
Cities in Texas with the most Assistant Data Scientist Forecasting job openings:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 23 days ago
Job description
Role Summary
We are seeking a technically strong and business-oriented Senior Data Scientist to own our forecasting and planning initiatives. With a focus on forecasting as it relates to planning and marketing analytics; this role will turn complex data into actionable insights that improve acquisition, retention, customer experience and business planning value.
The ideal candidate is highly proficient in time series and machine learning forecasting methods and equally strong at translating analytical findings into clear, engaging recommendations for business stakeholders and executives. This person should be able to work independently, frame ambiguous problems, build reliable models, and influence decisions through data-driven storytelling.
This is a hybrid role located within one of our hub locations i.e. Dallas, TX, New York, NY, San Jose, CA or Newport Beach, CA. Your will be required to come into an office on an as needed basis and work from your home office the rest of the time.
Position Details
About the role:
Forecasting & Planning
Advanced Analytics & Machine Learning
Marketing Insights & Stakeholder Storytelling
About you:
Preferred Qualifications
#LI-Hybrid
Company Overview
McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users' needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.
Company Benefits and Perks
We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.:
We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
Pay Range
The anticipated compensation for this position is USD $107,430.00/Yr. - USD $176,490.00/Yr. depending on experience and qualifications.
Job Applicant Privacy Notice
Please click here to view and download the Job Applicant Privacy Notice, which applies to all McAfee job applicants who are residents of the state of California.
We are seeking a technically strong and business-oriented Senior Data Scientist to own our forecasting and planning initiatives. With a focus on forecasting as it relates to planning and marketing analytics; this role will turn complex data into actionable insights that improve acquisition, retention, customer experience and business planning value.
The ideal candidate is highly proficient in time series and machine learning forecasting methods and equally strong at translating analytical findings into clear, engaging recommendations for business stakeholders and executives. This person should be able to work independently, frame ambiguous problems, build reliable models, and influence decisions through data-driven storytelling.
This is a hybrid role located within one of our hub locations i.e. Dallas, TX, New York, NY, San Jose, CA or Newport Beach, CA. Your will be required to come into an office on an as needed basis and work from your home office the rest of the time.
Position Details
About the role:
Forecasting & Planning
- Ownership and maintenance of forecasting models for key marketing and business outcomes, including revenue, demand, conversion, retention, and customer value.
- Support planning cycles by translating historical trends, seasonality, campaign activity, customer behavior, macro factors, and business assumptions into clear forecasts and scenarios.
- Develop planning tools, models, and readouts that help stakeholders and executives understand expected performance, pacing, and business tradeoffs.
- Monitor forecast accuracy, diagnose variance versus plan, and recommend adjustments based on changing business conditions.
Advanced Analytics & Machine Learning
- Develop and validate data science models that support customer behavior analysis, segmentation, propensity modeling, churn/retention analysis, personalization, and lifetime value.
- Build analytical frameworks that help stakeholders understand customer needs, behavior drivers, performance trends, and areas for improvement.
Marketing Insights & Stakeholder Storytelling
- Partner with Marketing, Finance, Product, Analytics, and Data Engineering teams to define business questions, analytical approaches, data requirements, and success metrics.
- Translate complex model outputs into clear recommendations that help stakeholders understand what happened, why it happened, and what actions to take.
- Communicate insights through compelling presentations, dashboards, and executive-ready readouts tailored to executive and other potentially non-technical audiences.
- Proactively identify insights, risks, and opportunities in the data rather than waiting for narrowly defined requests.
About you:
- 7+ yrs experience applying data science, machine learning, forecasting and/or other advanced analytics in a business environment.
- Strong proficiency in Python, SQL, and common data science or statistical modeling libraries.
- Strong working knowledge of time-series analysis, forecasting, seasonality, trend, lag effects, scenario planning, and model backtesting.
- Experience with marketing analytics, customer analytics, campaign performance, acquisition, retention, conversion, or lifetime value analysis.
- Ability to translate ambiguous business questions into structured analytical plans and actionable recommendations.
- Strong communication and data storytelling skills, with the ability to influence marketing and business stakeholders.
Preferred Qualifications
- Master's degree or PhD in a quantitative discipline.
- Experience with customer lifecycle analytics, journey analytics, subscription analytics, ecommerce, SaaS, or consumer digital businesses.
- Familiarity with experimentation, causal inference, uplift modeling, survival analysis, Bayesian modeling, or personalization methods.
- Experience working with large-scale customer, behavioral, clickstream, campaign, planning, or transaction-level datasets.
- Experience using cloud data platforms such as Databricks, Snowflake, BigQuery, or similar environments.
- Experience creating executive-ready presentations that connect analytical findings to business strategy and operational decisions.
#LI-Hybrid
Company Overview
McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users' needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.
Company Benefits and Perks
We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.:
- Bonus Program
- 401k Retirement
- Medical, Dental, Vision, Basic Life, Short Term Disability and Long-Term Disability Coverage
- Paid Parental Leave
- Support and Community Involvement
- 14 Paid Company Holidays
- Unlimited Paid Time Off for Exempt Employees
- 96 Hours of Sick Time and 120 Hours of Vacation for Non-Exempt Employees Accrued Each Year
We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
Pay Range
The anticipated compensation for this position is USD $107,430.00/Yr. - USD $176,490.00/Yr. depending on experience and qualifications.
Job Applicant Privacy Notice
Please click here to view and download the Job Applicant Privacy Notice, which applies to all McAfee job applicants who are residents of the state of California.
About Mcafee
Sourced by ZipRecruiter
Industry
Network security
Company size
5,001 - 10,000 Employees
Headquarters location
Santa Clara, CA, US
Year founded
1987