1,062 Forecasting jobs in the United States
Director, Forecasting
Posted 1 day ago
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**Job Description**
**About BioLife Plasma Services**
BioLife Plasma Services, a subsidiary of Takeda Pharmaceutical Company Limited, is an industry leader in the collection of high-quality plasma, which is processed into life-saving plasma-based therapies. Some diseases can only be treated with medicines made with plasma. Since plasma can't be made synthetically, many people rely on plasma donors to live healthier, happier lives. BioLife operates 250+ state-of-the-art plasma donation centers across the United States. Our employees are dedicated to enhancing the quality of life for patients and ensuring that the donation process is safe, straightforward, and rewarding for donors who wish to make a positive impact.
When you work at BioLife, you'll feel good knowing that what we do helps improve the lives of patients with rare diseases. While you focus on our donors, we'll support you. We offer a purpose you can believe in, a team you can count on, opportunities for career growth, and a comprehensive benefits program, all in a fast-paced, friendly environment.
This position is currently classified as "hybrid" in accordance with Takeda's Hybrid and Remote Work policy and will be based out of Bannockburn, IL.
**_OBJECTIVES/PURPOSE_**
As the Director of Forecasting on the Forecasting, Pricing, and Analytics (FPA) team, you will be responsible for the structural creation, execution, and management of statistical models and analytics solutions that support and maximize our long-term growth plans. This role has three main responsibilities: (1) hands-on involvement in the execution and management of forecasting models, analyzing outputs, explaining and communicating results, and conducting rapid follow-on analyses, (2) work closely across the business in a consultative and cross-functional capacity to identify and propose ways to improve our use of data for forecasting and analytics, and (3) work across the FPA team to improve process, documentation, and knowledge management continuously.
While an end-to-end data science skillset is desirable for this role, the emphasis is on ideation (identifying opportunity areas), design (creating functional requirements and proof-of-concept models), and execution (running models in production and communicating about model outputs), as opposed to technical aspects of development, deployment, or scaling. This role is crucial to the success of the FPA team. It reports to the Global Head of Forecasting, Pricing, and Analytics at BioLife, which is within the Plasma-Derived Therapies (PDT) business unit at Takeda.
**_ACCOUNTABILITIES_**
**Strategic Leadership**
+ Improve measurement of business performance through focus on the right metrics, improving metric accuracy, and proposing & creating statistical models to better understand complex dynamics.
+ Identify and help implement best practices, create and maintain documentation, improve processes, and advance knowledge management across the Forecasting, Pricing, and Analytics (FPA) team.
+ Ability to proactively identify and quantify risks & gaps in ongoing business processes.
+ Drive continuous improvement initiatives to achieve cost savings and efficiency gains.
+ Work with partners, vendors, and consultants on cross-functional projects, including developing solution functional requirements, feature prioritization, and data management/governance aspects.
**Applied Data Science**
+ Hands-on model execution, output management, and communicating results clearly and succinctly.
+ Partner with the Data, Digital, and Technology (DD&T) Data Science team and consultants to develop and improve on existing analytical models.
+ Complete ad hoc analytics analyses, including descriptive analyses and/or predictive modeling.
+ Build AI/ML and statistical model prototypes for measuring and understanding key drivers of our business.
**Collaboration and Adaptability**
+ Build strong relationships with cross-functional partners for efficient alignment, coordination, and information sharing across teams.
**_DIMENSIONS AND ASPECTS_**
**Technical/Functional Expertise**
+ Expert knowledge of time-series forecasting, survival analysis (a.k.a. time-to-event, duration, event history analysis, etc.), and agent-based modeling.
+ Broad general experience in data analysis, management, and statistical modeling.
+ Expert in SQL, Python, and R for data analysis and model development.
+ Strong analytical skills with a solid foundation in many of the following statistical and AI/ML methods: regression analysis (continuous, categorical, survival, time-series, and count models, etc.); classification (CART, SVM, Neural Networks, etc.), clustering (k-means/medoid, hierarchical, self-organizing maps, etc.), and other AI/ML techniques; experimental design; and forecasting/sensitivity analysis.
+ Comfortable working daily in cloud-based data platforms.
+ Expert-level MS Excel skills, including advanced functions (e.g., Solver), data analysis, pivot tables, macros, and VBA (Visual Basic for Applications), and applicability of these features for developing and managing financial models for business case development and forecasting.
+ Experience working with Power BI, Tableau, or other data visualization software.
**Communication**
+ Excellent verbal and written communication. Proven data analysis background with the ability to transform analysis into insights, recommendations, and proposals for senior management.
+ Ability to communicate complex concepts succinctly.
**Decision-making and Autonomy**
+ High self-reliance, self-efficacy, initiative, and learning agility.
+ Strong at both structured and unstructured problem-solving.
**Interaction**
+ Manage and/or partner on projects with vendors and consultants.
**_EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS:_**
**Required**
+ Ph.D. or master's degree in any area of social science, statistics, management science, engineering, computer science, or a closely related field; or an undergraduate degree in one of these areas plus relevant work experience.
+ Experience with data analytics from end-to-end, i.e., including ideation, proposal creation, getting stakeholder buy-in, designing analytics models/solutions, building prototypes, and working with IT/Data Science teams to deploy and scale solutions.
+ 15+ years of experience in advanced analytics and modeling in the areas of business performance analysis, forecasting, optimization, and/or consumer behavior; can be a combination of experience in academia and/or industry.
+ Excellent verbal and written communication and presentation skills. Able to communicate effectively with all levels of the organization, including senior leadership.
+ Experience managing multiple direct reports
+ Bring a growth mindset, curiosity, positivity, intuitive thinking, and a passion for excellence.
**Preferred**
+ Healthcare or Plasma Industry-related experience is a plus.
+ Management consulting experience is a plus.
**_ADDITIONAL INFORMATION_**
+ Domestic travel required (up to 10%).
**BioLife Compensation and Benefits Summary**
We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.
**For Location:**
Bannockburn, IL
**U.S. Base Salary Range:**
$174,500.00 - $274,230.00
The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location.
U.S. based employees may be eligible for short-term and/or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.
**EEO Statement**
_Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law._
**Locations**
Bannockburn, IL
**Worker Type**
Employee
**Worker Sub-Type**
Regular
**Time Type**
Full time
**Job Exempt**
Yes
Statistical Forecasting Analyst
Posted today
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Statistical Forecasting Analyst
Location: Stamford, CT (hybrid)
Job ID: 1475
We are currently working with a $2B+ business that is looking to take their demand planning / forecasting process to the next level. As part of this initiative, they are looking to add a Statistical Forecasting Analyst.
Position Description:
- Demand Planning / Statistical Forecasting Analyst reporting to the Director of Demand Planning.
- Develop and maintain the statistical forecast models.
- Participate in the monthly S&OP / consensus meetings.
- Protect the financial performance of the strategic business unit by identifying potential supply chain issues.
- Advise sales and marketing of variances between existing forecasts, plans and actuals.
Background Required:
- Highly energetic individual with at least 5 years of demand planning / stat forecasting experience.
- Must have experience with advanced planning tools such as SAP IBP, Demantra, Blue Yonder, Logility, o9, Kinaxis, Anaplan, Tools Group, John Galt or similar.
- Analytical capabilities leveraging tools / programming languages such as Power BI, VBA, SQL, Python or R preferred.
- Bachelors required.
- Proven track record of success in similar role.
Miscellaneous:
- Compensation: $125 – 150K + bonus.
- Full benefit package including medical, dental and 401(k).
- On-site 3-4 days a week.
Forecasting Analyst Marketing
Posted 3 days ago
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Job Summary
The Forecasting Analyst's goal will be to apply advanced econometric forecasting techniques to help generate TTX's business plan. The focus will be using economic forecasts that drive freight demand as variables to help project key operational metrics for TTX's fleet. In between forecasts, the Forecasting Analyst will continue to make improvements to the models by researching new techniques and testing new strategies to help boost forecast accuracy. The Forecasting Analyst will also clearly and concisely present forecast results in dashboards and help other team members understand results. This role will also provide periodic written analysis and create presentation materials that pertain to the forecast results. Work with other Marketing team members to understand the underlying freight industry to ensure a solid connection between the data and forecasts to the market.
Key Responsibilities
- Forecasting & Planning Support : Use advanced econometric techniques to generate long-term fleet usage scenarios every quarter. Create presentation materials for internal and external stakeholders.
- Data Management & Quality Assurance : Coordinate with internal teams to ensure data accuracy and consistency. Work with IT to maintain reliable data pipelines.
- Analytics & Visualization : Develop forecasting models using statistical tools and populate results with visualization platforms like Power BI.
- Process Improvement : Collaborate cross-functionally to streamline data flows and reduce manual intervention. Explore new data sources to enhance planning. Apply advanced analytics to identify trends and improve forecast accuracy
- Ad-hoc Support : Provide analytical support for Marketing team projects and assist with reporting and data pulls as needed
Education & Experience
- Master's degree in computer science, data science, statistics, or economics degree is required
- 2-4 years of relevant experience in forecasting, data analysis, or modeling. Internship or academic project experience may be considered if highly applicable
- Proficient in Python required
- Experience with building and executing econometric forecasts using statistical software
- Familiarity with data visualization tools such as Tableau or Power BI.
- Strong quantitative background with knowledge of time series forecasting and advanced statistics
- Ability to develop and manage forecasting models and dashboards
- Experience with prescriptive and exploratory analysis to support planning and decision-making
- Understanding of logistics, transportation, or rail industry is a plus
- Awareness of rail equipment, operational data, and general rail industry practices is beneficial
- Strong written and verbal communication skills for both technical and non-technical audiences
- Ability to present and defend findings clearly and effectively
- Collaborative mindset with experience working across departments and with cross-functional teams
(The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions.)
General office environment; may be required to travel. While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to sit (remain stationary within work area) and use hands to finger, handle, feel and reach. The employee is occasionally required to move about (stand, walk). The employee must occasionally lift and/or transport up to 10 pounds. Correctable vision required for close, distance, and color vision capabilities.
The above job description is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities or requirements.
#INDCORP
About Us
TTX Company is a leading provider of railcars and related freight car management services to the North American rail industry. TTX's pool of railcars is ideal for supporting shippers in the intermodal, automotive, paper & forest, metals, machinery, wind energy and other markets where flatcars, boxcars and gondolas are required.
TTX's generous Total Rewards package includes Paid Time Off, Health, Dental and Vision benefits, and 401(k) with company match. This position participates in Railroad Retirement.
TTX Company is an Equal Employment Opportunity Employer.
About the Team
What we do:
Provide reliable, cost effective an innovative railcar solutions for the markets we serve.
- Ensure an injury-free work place.
- Build and develop a highly capable team of subject matter experts and leaders at every level in our organization.
- Bring new product and process innovation to the rail car industry.
- Continuously improve our products, processes and systems in a cost effective manner by using modern design techniques and data analytics.
- Achieve, maintain and support cross company alignment with the TTX company mission statement.
Forecasting Analyst II
Posted today
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**Position Purpose:** Develops tailored forecasts through predictive analytics and adverse-event models to determine demand requirements and ensure sufficient contact center resources are available. Analyzes some complex forecasted data to determine budget and future staffing decisions.
+ Develops, manages, and forecasts volume and resource capacity requirements based on volume trends, stakeholder demand changes, business environment changes, and resource utilization.
+ Coordinates with contact center team members and performs all forecasting activities.
+ Reviews reports and remediations to improve staffing levels and efficiency.
+ Supports business decisions through the preparation of timely and accurate variable forecasts in a high-volume contact center.
+ Analyzes data using web tools and other software and prepares recommendations and reports to drive high-impact process improvement efforts.
+ Utilizes data analysis and root cause process assessments to identify inefficiencies and areas of improvemen.t
+ Researches and analyzes diversified data to draw valid conclusions and provide remediation.s
+ Interfaces with contact center senior team members to understand the fast-changing business and make updates where necessary.
+ Ensures compliance to all guidelines and optimal utilization of all contact center resources.
+ Performs other duties as assigned.
+ Complies with all policies and standards.
**Education/Experience:** Requires a Bachelor's degree and 2 - 4 years of related experience.
Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position.
Ability to prioritize, perform independent decision making, and manage time effectively preferred.Pay Range: $26.50 - $47.59 per hour
Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility.
Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law.
Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act
Data Analyst, Forecasting
Posted 3 days ago
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The Data Analyst, Forecasting will play a critical role in supporting data-driven decision-making across MaryRuth's by developing business intelligence (BI) solutions, analyzing data, and delivering insights. This role will be part of the Analytics team within our eCommerce & Marketing department, supporting key business functions such as marketing, operations, and sales by providing clear, actionable analysis. This is a full-time (40 hr/wk), salary-exempt, remote position.
Responsibilities
- Collaborate with stakeholders to gather requirements, design data models, and develop reports and dashboards regarding all areas of the business.
- Report on performance across key KPIs and regularly share business performance; play a key role in measuring performance for MaryRuth's
business strategy.
- Maintain consistent groomed business logic and KPIs across reporting.
- Develop product forecasts supporting MaryRuth's growing DTC business using Excel, SQL, R, and/or Tableau.
- Proactively identify and investigate potential areas of opportunity.
- Collaborate with other Analytics members as needed on other data and business strategy projects.
- Other responsibilities as assigned.
- Some travel (<5%) may be required on an as needed basis, with advance notice provided to the employee.
- Minimum 2-3+ years of experience with SQL, business intelligence, and data warehousing required; forecasting experience strongly preferred.
- Experience in Ecommerce/CPG/Retail or other consumer product industries a plus.
- Advanced proficiency in Microsoft Excel.
- Strong experience in data visualization tools such as Tableau, Looker, or PowerBI.
- Excellent collaboration skills to work cross-functionally across the organziation.
- Analytical, detail-oriented, and motivated to solve problems.
- Must be able to exert up to 10 pounds of force occasionally or a negligible amount of force frequently to lift, carry, push, pull, or otherwise move objects, including the human body.
- This role involves sitting most of the time but may also involve moving for brief periods of time.
- Competitive compensation, commensurate with experience.
- Discretionary holiday bonus.
- Sick time.
- Paid company holidays.
- Flexible vacation.
- Medical, vision, and dental (USA).
- Flexible Spending Account - FSA (USA).
- Company matched (4%) 401k (USA).
- Employee and immediate-family discounts on all products (upon 60 & 90 days of employment).
The Culture at MaryRuth's
We are a fast-growing startup with a small, unified team that has a lot of fun and a big drive to change the world through our products. We are a health-conscious company with a focus on creating vegan and organic vitamins and supplements for everyone.
We believe our work benefits from the diverse perspectives of our employees. As such, MaryRuth's celebrates inclusion and is committed to equal opportunity employment.
MaryRuth's is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to race, color, religious creed, sex, national origin, ancestry, citizenship status, hair texture and hairstyles, pregnancy, childbirth, (or related medical conditions, including, but not limited to lactation), physical disability, mental and/or intellectual disability, age, military status or status as a Vietnam-era or special disabled veteran, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws.
Forecasting Data Scientist
Posted today
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Job Description
Are You Ready to Make It Happen at Mondelez International?
Join our Mission to Lead the Future of Snacking. Make It With Pride.
You will help our business react to changing business conditions with excellent data analysis. You will define the requirements, perform the analysis and identify patterns in large amounts of data.
How you will contribute
You will:
-
Lead statistical forecasting process to provide business a statistical base forecast for its demand planning process.
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Lead some continuous improvement projects to get a more efficient, robust, and accurate models to predict.
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Analyze business requirements as a guide for data modeling and apply data analysis, design, modeling, and quality assurance techniques, based on a detailed understanding of business processes, to establish, modify or maintain data structures and associated components (entity descriptions, relationship descriptions, attribute definitions
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Manage the iteration, review and maintenance of data requirements and data models and you will assist in creating the sematic layer of data
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Choose a suitable data modeling approach for each project, such as by assessing the suitability of existing data models and build data models with the flexibility to change when business requirements change
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Reconcile multiple logical source models into a single, logically consistent model and you will ensure that the proposed model follows data architecture guidelines and best practices
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Design, build, implement and/or maintain Python/PySpark algorithms to execute predictive analysis which help to improve planning processes.
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Analyse code, define and implement strategies to have more accurate and efficient results
What you will bring
A desire to drive your future and accelerate your career and the following experience and knowledge:
-
Extensive experience in data modeling in a large complex business with multiple systems
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Ability to simplify complex problems and communicate them to a broad audience
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Design, build, implement and/or maintain Python/PySpark algorithms to execute predictive analysis which help to improve planning processes.
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Analyze code, define, and implement strategies to have more accurate and efficient results
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Working in cloud computing environments with tools like databricks and help MDLZ to have better practices on it.
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Aligning and coordinating activities with different areas and stakeholder to guarantee a good execution of projects and processes.
What you need to know about this position:
The Data Scientist will be responsible for advanced forecasting methodologies for demand forecasting to generate better forecasting results in terms of accuracy and bias
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Determine, create and maintain the best Statistical models be to be used, by considering SKU demand behavior using segmentation strategy, to generate high quality demand statistical forecast with low forecast error and bias
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Refine forecasting models, by reviewing forecast performance and incorporating feedback from the Demand Planner, to improve forecast error and bias metrics
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Analyze the model performance every month / week where MAPE (Main Absolute Percentage Error) is deteriorating and post process the output and if required finetune the output
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Propose additional strategies to have a better code (efficient or more accurate) to execute in Databricks
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Collaborate with Demand Planners to provide explainability of models and gather feedback to improve the models
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Lead, develop, and deploy some algorithms built on databricks that help to the predictive process to be more efficient and accurate
Education / Certifications:
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Bachelor's Degree required. Masters in quantitative field of Statistics, Applied Mathematics or Engineering, with specific full-time courses in Analytics preferred
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Certifications Google Cloud Platform as Data Scientist, or Data Analyst, or in Databricks preferred
Job specific requirements:
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10+ years of experience in handling multiple projects leading in the domain of supply chain and forecasting with multiple team members as part of org structure
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Experience on working with FMCG, Food & Beverages, Retail or similar industry data with understanding the business process will be an advantage (nice to have)
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Should be able to articulate data science outcome into business understandable language
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Experience leading projects and/or processes
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Fluent English is a must
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Experience in any Data Science language like Python (preferred), PySpark (preferred), R, Julia.
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Experience developing and deploying Statistical and/or machine learning solutions.
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Knowledge and experience in data science cloud platforms like Databricks (preferred) or similar.
Work schedule:
This is a hybrid role- three days onsite at our East Hanover, NJ office. No option for 100% remote.
*The base salary range for this position is $83,800 to $115,225; the exact salary depends on several factors such as experience, skills, education, and budget. In addition to base salary, this position is eligible for participation in a highly competitive bonus program with possibility for overachievement based on performance and company results.
In addition, Mondelez International offers the following benefits: health insurance, wellness and family support programs, life and disability insurance, retirement savings plans, paid leave programs, education related programs, paid holidays and vacation time. Some of these benefits have eligibility requirements. Many of these benefits are subsidized or fully paid for by the company.
No Relocation support available
Business Unit Summary
The United States is the largest market in the Mondelez International family with a significant employee and manufacturing footprint. Here, we produce our well-loved household favorites to provide our consumers with the right snack, at the right moment, made the right way. We have corporate offices, sales, manufacturing and distribution locations throughout the U.S. to ensure our iconic brands-including Oreo and Chips Ahoy! cookies, Ritz, Wheat Thins and Triscuit crackers, and Swedish Fish and Sour Patch Kids confectionery products -are close at hand for our consumers across the country.
Mondelez Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact for assistance.
For more information about your Federal rights, please see eeopost.pdf ; EEO is the Law Poster Supplement ; Pay Transparency Nondiscrimination Provision ; Know Your Rights: Workplace Discrimination is Illegal
Job Type
Regular
Data Science
Analytics & Data Science
At Mondelez International, our purpose is to empower people to snack right through offering the right snack, for the right moment, made the right way. That means delivering a broader range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.
We have a rich portfolio of strong brands - both global and local. Including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the number 1 position globally in biscuits, chocolate and candy as well as the No. 2 position in gum
Our 80,000 Makers and Bakers are located in our operations in more than 80 countries and are working to sell our products in over 150 countries around the world. They are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen, and happen fast.
Join us and Make It An Opportunity!
Mondelez Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact for assistance.
Data Scientist, Forecasting
Posted 3 days ago
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Job Description
We believe that difference sparks brilliance, so we welcome people and ideas from everywhere to join us in stretching what's possible.
At Tapestry, being true to yourself is core to who we are. When each of us brings our individuality to our collective ambition, our creativity is unleashed. This global house of brands - Coach & Kate Spade New York - was built by unconventional entrepreneurs and unexpected solutions, so when we say we believe in dreams, we mean we believe in making them happen. We're always on a journey to becoming our best, but you can count on this: Here, your voice is valued, your ambitions are supported, and your work is recognized.
A member of the Tapestry family, we are part of a global house of brands that has unwavering optimism and is committed to being innovative and wholly inclusive.
Primary Purpose
The Data Scientist, Forecasting will play a critical role in developing and maintaining accurate, scalable forecasting solutions that drive strategic and operational decision-making across the organization. This individual will own end-to-end forecasting processes across multiple time horizons, brands, channels, and regions. The ideal candidate will bring expertise in statistical modeling and machine learning, and will partner closely with cross-functional teams to deliver insights and tools that support business growth and efficiency.
Key Responsibilities
- Design, develop, and maintain a comprehensive suite of retail forecasts for supply chain, sales, and customer traffic among others.
- Build and deploy forecasting models using time series analysis, regression techniques, and machine learning algorithms.
- Develop tools and frameworks to enable ad-hoc forecast updates, integrate user feedback, and incorporate outputs from other models.
- Scale forecasting methodology and drive increased accuracy and flexibility.
- Analyze large-scale datasets to uncover trends, seasonality, and external drivers such as promotions, economic indicators, weather, and competitive activity.
- Integrate product lifecycle stages, promotional campaigns, and macroeconomic variables into forecasting models.
- Collaborate with stakeholders to understand business objectives and ensure forecasts align with strategic and operational planning needs.
- Communicate forecast insights and recommendations effectively to both technical and non-technical audiences, including senior leadership.
- Document forecasting methodologies and maintain version control using tools such as Git and Bitbucket; leverage model and feature stores to ensure enterprise-wide accessibility.
- Stay informed on industry trends, consumer behavior, and advancements in forecasting methodologies.
- Bachelor's degree in Statistics, Economics, Data Science, Applied Mathematics, or a related quantitative field (Master's or PhD preferred).
- 3-5 years of demonstrated experience in retail forecasting, demand planning, or a similar analytics-focused role.
- Proficiency in Python and advanced SQL; experience with forecasting libraries and platforms (e.g., Prophet, scikit-learn).
- Familiarity with cloud-based forecasting services (e.g., AWS Forecast) and multi-environment cloud architectures.
- Experience with modern Machine Learning Operations and tools for Code, Model and Data versioning and governance.
- Strong communication skills with the ability to translate complex analytical concepts for non-technical stakeholders.
- Proven ability to thrive in fast-paced, cross-functional environments.
- Ability to work with ambiguity and prioritize requests and multiple stakeholders.
- Knowledge of retail operations, merchandising, and supply chain processes is a plus.
- Courage : Doesn't hold back anything that needs to be said; provides current, direct, complete, and "actionable" positive and corrective feedback to others; lets people know where they stand; faces up to people problems on any person or situation (not including direct reports) quickly and directly; is not afraid to take negative action when necessary.
- Creativity : Comes up with a lot of new and unique ideas; easily makes connections among previously unrelated notions; tends to be seen as original and value-added in brainstorming settings.
- Customer Focus: Is dedicated to meeting the expectations and requirements of internal and external customers; gets first-hand customer information and uses it for improvements in products and services; acts with customers in mind; establishes and maintains effective relationships with customers and gains their trust and respect.
- Dealing with Ambiguity : Can effectively cope with change; can shift gears comfortably; can decide and act without having the total picture; isn't upset when things are up in the air; doesn't have to finish things before moving on; can comfortably handle risk and uncertainty.
- Drive for Results: Can be counted on to exceed goals successfully; is constantly and consistently one of the top performers; very bottom-line oriented; steadfastly pushes self and others for results.
- Interpersonal Savvy : Relates well to all kinds of people, up, down, and sideways, inside and outside the organization; builds appropriate rapport; builds constructive and effective relationships; uses diplomacy and tact; can diffuse even high-tension situations comfortably.
- Learning on the Fly: Learns quickly when facing new problems; a relentless and versatile learner; open to change; analyzes both successes and failures for clues to improvement; experiments and will try anything to find solutions; enjoys the challenge of unfamiliar tasks; quickly grasps the essence and the underlying structure of anything.
- Strategic Agility : Sees ahead clearly; can anticipate future consequences and trends accurately; has broad knowledge and perspective; is future oriented; can articulately paint credible pictures and visions of possibilities and likelihoods; can create competitive and breakthrough strategies and plans.
- Developing Direct Reports and Others : Provides challenging and stretching tasks and assignments; holds frequent development discussions; is aware of each person's career goals; constructs compelling development plans and executes them; pushes people to accept developmental moves; will take on those who need help and further development; cooperates with the developmental system in the organization; is a people builder.
- Building Effective Teams : Blends people into teams when needed; creates strong morale
and spirit in his/her team; shares wins and successes; fosters open dialogue; lets people finish and be responsible for their work; defines success in terms of the whole team; creates a feeling of belonging in the team.
Tapestry, Inc. is an equal opportunity and affirmative action employer and we pride ourselves on hiring and developing the best people. All employment decisions (including recruitment, hiring, promotion, compensation, transfer, training, discipline and termination) are based on the applicant's or employee's qualifications as they relate to the requirements of the position under consideration. These decisions are made without regard to age, sex, sexual orientation, gender identity, genetic characteristics, race, color, creed, religion, ethnicity, national origin, alienage, citizenship, disability, marital status, military status, pregnancy, or any other legally-recognized protected basis prohibited by applicable law.
Americans with Disabilities Act (ADA)
Tapestry, Inc. will provide applicants and employees with reasonable accommodation for disabilities or religious beliefs. If you require reasonable accommodation to complete the application process, please contact Tapestry People Services at or
Visit Tapestry, Inc. at
Work Setup: HYBRID
#LI-HYBRID
BASE PAY RANGE $130,000.00 TO $145,000.00
Here are some of the benefits that we offer: Medical insurance, Dental insurance, Vision insurance, 401 (K), Paid Paternity and Maternity leave, Commuter Benefits, Disability insurance and Tuition assistance. Please click here for a complete list of U.S Corporate Compensation & Benefits.
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Forecasting Data Scientist
Posted today
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Job Description
**Are You Ready to Make It Happen at Mondelēz International?**
**Join our Mission to Lead the Future of Snacking. Make It With Pride.**
You will help our business react to changing business conditions with excellent data analysis. You will define the requirements, perform the analysis and identify patterns in large amounts of data.
**How you will contribute**
You will:
+ Lead statistical forecasting process to provide business a statistical base forecast for its demand planning process.
+ Lead some continuous improvement projects to get a more efficient, robust, and accurate models to predict.
+ Analyze business requirements as a guide for data modeling and apply data analysis, design, modeling, and quality assurance techniques, based on a detailed understanding of business processes, to establish, modify or maintain data structures and associated components (entity descriptions, relationship descriptions, attribute definitions
+ Manage the iteration, review and maintenance of data requirements and data models and you will assist in creating the sematic layer of data
+ Choose a suitable data modeling approach for each project, such as by assessing the suitability of existing data models and build data models with the flexibility to change when business requirements change
+ Reconcile multiple logical source models into a single, logically consistent model and you will ensure that the proposed model follows data architecture guidelines and best practices
+ Design, build, implement and/or maintain Python/PySpark algorithms to execute predictive analysis which help to improve planning processes.
+ Analyse code, define and implement strategies to have more accurate and efficient results
**What you will bring**
A desire to drive your future and accelerate your career and the following experience and knowledge:
+ Extensive experience in data modeling in a large complex business with multiple systems
+ Ability to simplify complex problems and communicate them to a broad audience
+ Design, build, implement and/or maintain Python/PySpark algorithms to execute predictive analysis which help to improve planning processes.
+ Analyze code, define, and implement strategies to have more accurate and efficient results
+ Working in cloud computing environments with tools like databricks and help MDLZ to have better practices on it.
+ Aligning and coordinating activities with different areas and stakeholder to guarantee a good execution of projects and processes.
**What you need to know about this position:**
The Data Scientist will be responsible for advanced forecasting methodologies for demand forecasting to generate better forecasting results in terms of accuracy and bias
+ Determine, create and maintain the best Statistical models be to be used, by considering SKU demand behavior using segmentation strategy, to generate high quality demand statistical forecast with low forecast error and bias
+ Refine forecasting models, by reviewing forecast performance and incorporating feedback from the Demand Planner, to improve forecast error and bias metrics
+ Analyze the model performance every month / week where MAPE (Main Absolute Percentage Error) is deteriorating and post process the output and if required finetune the output
+ Propose additional strategies to have a better code (efficient or more accurate) to execute in Databricks
+ Collaborate with Demand Planners to provide explainability of models and gather feedback to improve the models
+ Lead, develop, and deploy some algorithms built on databricks that help to the predictive process to be more efficient and accurate
**Education / Certifications:**
+ Bachelor's Degree required. Masters in quantitative field of Statistics, Applied Mathematics or Engineering, with specific full-time courses in Analytics preferred
+ Certifications Google Cloud Platform as Data Scientist, or Data Analyst, or in Databricks preferred
**Job specific requirements:**
+ 10+ years of experience in handling multiple projects leading in the domain of supply chain and forecasting with multiple team members as part of org structure
+ Experience on working with FMCG, Food & Beverages, Retail or similar industry data with understanding the business process will be an advantage (nice to have)
+ Should be able to articulate data science outcome into business understandable language
+ Experience leading projects and/or processes
+ Fluent English is a must
+ Experience in any Data Science language like Python (preferred), PySpark (preferred), R, Julia.
+ Experience developing and deploying Statistical and/or machine learning solutions.
+ Knowledge and experience in data science cloud platforms like Databricks (preferred) or similar.
**Work schedule:**
**This is a hybrid role- three days onsite at our East Hanover, NJ office. No option for 100% remote.**
*The base salary range for this position is $83,800 to $115,225; the exact salary depends on several factors such as experience, skills, education, and budget. In addition to base salary, this position is eligible for participation in a highly competitive bonus program with possibility for overachievement based on performance and company results.
In addition, Mondelez International offers the following benefits: health insurance, wellness and family support programs, life and disability insurance, retirement savings plans, paid leave programs, education related programs, paid holidays and vacation time. Some of these benefits have eligibility requirements. Many of these benefits are subsidized or fully paid for by the company.
No Relocation support available
**Business Unit Summary**
The United States is the largest market in the Mondelēz International family with a significant employee and manufacturing footprint. Here, we produce our well-loved household favorites to provide our consumers with the right snack, at the right moment, made the right way. We have corporate offices, sales, manufacturing and distribution locations throughout the U.S. to ensure our iconic brands-including Oreo and Chips Ahoy! cookies, Ritz, Wheat Thins and Triscuit crackers, and Swedish Fish and Sour Patch Kids confectionery products -are close at hand for our consumers across the country.
Mondelēz Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact for assistance.
For more information about your Federal rights, please see eeopost.pdf ; EEO is the Law Poster Supplement ; Pay Transparency Nondiscrimination Provision ; Know Your Rights: Workplace Discrimination is Illegal
**Job Type**
Regular
Data Science
Analytics & Data Science
At Mondelēz International, our purpose is to empower people to snack right through offering the right snack, for the right moment, made the right way. That means delivering a broader range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.
We have a rich portfolio of strong brands - both global and local. Including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the number 1 position globally in biscuits, chocolate and candy as well as the No. 2 position in gum
Our 80,000 Makers and Bakers are located in our operations in more than 80 countries and are working to sell our products in over 150 countries around the world. They are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen, and happen fast.
Join us and Make It An Opportunity!
Mondelez Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact for assistance.
Econometric Forecasting Lead
Posted 16 days ago
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Job Description
Job Description
**OVERVIEW**
CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index and the NASDAQ 100, CoStar Group is on a mission to digitize the world's real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives.
We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our Clients. We've continually refined, transformed and perfected our approach to our business, creating a language that has become standard in our industry, for our Clients, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our Clients, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate.
**ABOUT THE ROLE**
We are seeking a highly skilled and results-driven Econometric Forecasting Lead to take ownership of enhancing and improving our commercial real estate forecasting models. The successful candidate will have a strong background in econometrics, statistical modeling, and commercial real estate, with expertise in improving forecasting accuracy, innovating new models, and refining existing processes. This individual will play a key role in our analytics team, working closely with product, research, and quantitative analytics teams to improve our product offerings and ensure our forecasting models remain robust and reliable.
This is a full-time in-office position that will be based in our Richmond, VA office.
**RESPONSIBILITIES**
+ Monitor and track forecast accuracy using defined metrics (e.g., RMSE, MAE), providing regular reports on accuracy/back testing and serving up data points used.
+ Work with the analytics team to serve up data for the development of dashboards to track forecast accuracy, making insights actionable for analysts, department leaders, and executives.
+ Continually explore new economic inputs and refine existing variables and coefficients to enhance the precision and accuracy of existing forecasting models.
+ Conduct independent and creative quantitative research applied towards the evaluation, tracking, and improvement of CRE models, data series and estimations
+ Lead and refine the quarterly review process for forecast accuracy, incorporating feedback from analysts and external factors to improve models.
+ Develop and innovate new forecast models for specialty real estate sectors, nowcasts, space-level analytics, and other emerging real estate markets.
+ Maintain clear documentation on forecast models and methodologies, including explanation of inputs, variables, etc.
+ Provide ongoing education to analytics team on forecast updates and drivers and forecast accuracy.
+ Lead communication of forecast process, guidelines, results, and updates to external customers, including back testing and accuracy review. Assist customers with model validations.
**BASIC QUALIFICATIONS**
+ Master's degree in econometrics, statistics, data science, or related field
+ 5-7+ years of relevant experience in years of experience in econometric modeling, quantitative analytics, or commercial real estate forecasting.
+ Strong proficiency in SQL (SSMS/Databricks), R, Python, for data manipulation, analysis, and modeling (proficiency in Stata a plus).
+ Expertise in econometric models, including regression analysis, time series forecasting, and advanced statistical techniques.
+ Hands-on experience working with large data sets.
+ Proven experience in developing and refining forecasting models.
+ Strong understanding of commercial real estate dynamics, market drivers, and forecasting challenges.
+ Exceptional communication skills, with the ability to explain complex models to non-technical stakeholders.
+ Highly organized with heightened attention to detail
+ Proactive and self-driven, consistently taking initiative to identify and implement improvements.
**PREFERRED QUALIFICATIONS**
+ Advanced degree (Master's, PhD) in econometrics, statistics, data science, or related field
+ Experience with Python-based common data science tools such as Jupyter Notebooks, Numpy, Pandas, Scikit-learn, etc.
+ Experience writing clean, reproducible, robust, and scalable analysis code
+ Familiarity with cloud platforms (e.g., AWS, Azure) and data migration processes.
+ Experience in space-level analytics or granular building data modeling.
**WHAT'S IN IT FOR YOU:**
When you join CoStar Group, you'll experience a collaborative and innovative culture working alongside the best and brightest to empower our people and customers to succeed.
We offer you generous compensation and performance-based incentives. CoStar Group also invests in your professional and academic growth with internal training, tuition reimbursement, and an inter-office exchange program.
Our benefits package includes (but is not limited to):
+ Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug
+ Life, legal, and supplementary insurance
+ Virtual and in person mental health counseling services for individuals and family
+ Commuter and parking benefits
+ 401(K) retirement plan with matching contributions
+ Employee stock purchase plan
+ Paid time off
+ Tuition reimbursement
+ On-site fitness center and/or reimbursed fitness center membership costs (location dependent), with yoga studio, Pelotons, personal training, group exercise classes
+ Access to CoStar Group's Diversity, Equity, & Inclusion Employee Resource Groups
+ Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks
We welcome all qualified candidates who are currently eligible to work full-time in the United States to apply. However, please note that CoStar Group is not able to provide visa sponsorship for this position.
#LI-DG4
CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing
CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index and the NASDAQ 100, CoStar Group is on a mission to digitize the world's real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives.
We have been living and breathing the world of real estate information and online marketplaces for over 37 years, giving us the perspective to create truly unique and valuable products and services. We've continually refined, transformed and perfected our approach to our business, creating a language that has become standard in our industry and for our customers. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate.
CoStar is committed to creating a diverse environment and is proud to be an equal opportunity workplace and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. CoStar is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access as a result of your disability. You can request reasonable accommodations by calling or by sending an email to .
Lead Forecasting Engineer
Posted today
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Job Description
Job Description
Salary:
Technology Group International (TGI) is looking for an experienced data scientist with software development experience to join our development team. Your primary responsibility will be to lead the development of forecasting and statistical models for our enterprise application for manufacturers and distributors. You will work closely with the software, analytics, and decision systems listed in "Duties and Responsibilities. As Lead Forecasting Engineer, you will have a wealth of opportunities to contribute to the development of our enterprise application and play an integral role in the future direction of our technology stack.
Duties and Responsibilities:
- Lead the development of various forecasting algorithms for our enterprise application
- Generate statistical models for our enterprise applications analytics / business intelligence (BI) offering
- Optimize and improve our enterprise applications existing analytics offering
- Optimize and improve our enterprise applications existing forecasting and material requirements planning (MRP) system
- Integrate new forecasting algorithms to be used throughout our software
Skills and Specifications:
- Experience in writing SQL queries against a relational database
- Experience in Python, R, or other Statistical Language
- Experience with algorithms such as clustering, forecasting, anomaly detection, and neural networks
- Experience in version control systems (preferably Git)
- Familiarity with basic statistics and regression algorithms (Experience with Microsoft Linear Regression in SQL Server is a plus)
- Familiarity with C# and ASP.Net is a plus
- Familiarity with front-end technologies and frameworks such as HTML, CCS, and JavaScript
Education and Qualifications:
- 2 - 5 years of relevant work experience
- BS, MS, or PhD degrees in Data Science, Computer Science, Statistics, or Engineering
- Must be a U.S. citizen
- Written and oral communication in English required
Competitive Benefits Package:
- Competitive compensation will be based on relevant work background
- Health Insurance and company paid health care spending account
401(k) - Holiday, personal, and vacation paid time off