forecasting analyst

PepsiCo

<div>
 
 Overview
 
 
 
 The purpose of this role is to lead and coordinate the forecasting analyst team for a specific BU to generate a sound driver-based forecast as starting point for the Demand Planning process within IBP by ensuring the right data is available for the IBP forecasting engine (PFE), executing the models that generate the forecast. The forecasting analyst roles will collaborate day to day with the Demand Planners to ensure the forecast is as per business needs and with the Data Scientists to continuously improve the forecasting engine and the data to improve the forecast accuracy. The forecasting analyst will work both on Mid-Term (monthly / 24 months) and Short-Term (weekly / 16-20 weeks) depending on the scope assigned within a BU
 
 
 The scope of this role covers a concrete BU and will have a dotted line reporting relationship with the BU IBP+DP Lead and a solid line with the Global Forecasting Lead
 
 
 This is a key role in IBP as Driver Based Forecast and the PFE are key components to enable the One Plan in the IBP/DP process
 
 
 
 Responsibilities
 
 
 
 Critical role in ownership, execution and improvement of the Driver Based Forecast
 
 
 <ul>
 <li>
 Lead and coordinate the team of forecasting analysts working for a specific BU while being directly responsible for part of the scope
 </li>
 <li>
 Be the main point of contact for BU Demand Planning Leads and Data Scientist working for that specific BU
 </li>
 <li>
 For Short-Term, Mid-Term and Demand Sensing Forecasting Models and all the required demand streams in the BU:
 </li>
 <ul>
 <li>
 Ensure all demand drivers are being captured in the driver-based forecast
 </li>
 <li>
 Reconcile data inputs to confirm that all volume driver data is complete and there are no gaps
 </li>
 <li>
 Ensure all the Master Data needed to activate, deactivate, sustitute DFUs in the Demand Planning systems and all associated lifecycles management activities at the different levels of the hierarchy are consistently executed. Manage the overall/ massive master data management.
 </li>
 <li>
 Ensure history corrections, outliers corrections and realignments needed to run the models are executed properly and manage events that apply to all BU and history realignments
 </li>
 <li>
 Ensure models run correctly and the output is complete and consistent
 </li>
 <li>
 Perform small adjustments in the forecasting engine parameters / data inputs to capture demand trends or patterns that are not well reflected based on own findings or feedback from the Demand Planners
 </li>
 <li>
 Measure and Report Forecasting KPIs
 </li>
 <li>
 Drive overall Forecast Continuous Improvements and Root Cause Analysis with the Demand Planners and perform the analysis on the modelling. Identify improvement areas and recommended actionsCollaborate with Demand Planners and Data Scientists to define an implement an improvement backlog on the models
 </li>
 <li>
 Support Data Science in the Experimentation, test and evaluation of the improvements and its validation with the Demand Planners before its implementation
 </li>
 </ul>
 <li>
 Drive segmentation calculations and review and validate with the demand planners for its implementation
 </li>
 <li>
 Leverage and share best practice which will impact on the wider PepsiCo ecosystem ensuring the best for PepsiCo and therefore enabling its Better, Stronger and Faster ambitions
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Holder of both a Bachelor&rsquo;s and Master&rsquo; degree (preferably with studies in Business Administration, Engineering, Supply Chain, Finance). Having an MBA is a plus.
 </li>
 <li>
 Experience in generating accurate demand statistical forecast and in advanced forecasting models including Machine Learning algorithms at fast moving consumer goods including a collaborative planning, demand sensing, promotions planning, new product introduction planning, demand shaping and demand scenarios management
 </li>
 <li>
 Proficiency in Data Analysis and Insights. Ability to navigate across large amounts of data, understand the gaps, identify exception and extract insights to form conclusions and inform decisions, with strong analytical skills.
 </li>
 <li>
 High level of understanding on commercial activities and how they driver demand in FMCG and strong understanding of the demand planning and forecasting processes
 </li>
 <li>
 Ability to process and resolve complex issues, establish priorities and action plans
 </li>
 <li>
 8+ years experience in Demand planning or forecasting
 </li>
 <li>
 6+ years at a middle level in the FMCG industry
 </li>
 <li>
 Experience in managing and oraganizing teams
 </li>
 <li>
 Collaborative and team player
 </li>
 <li>
 Strong in both strategic and analytical thinking
 </li>
 <li>
 Strong in organizational skills and attention to detail
 </li>
 <li>
 Good business accument with results orientation
 </li>
 <li>
 Ability to generate consensus via strong network &amp; collaborations skills
 </li>
 <li>
 Fluent in English with Local Language (for Mus assigned &ndash; is a plus)
 </li>
 <li>
 Strong understanding of the IBP processes, demand planning and forecasting.
 </li>
 <li>
 Comfortable with process discipline and process adherence, but also able to identify and take opportunities to further develop and strengthen the process without compromising the end state
 </li>
 </ul>
</div>

Senior Manager - Supply Chain

General Mills

<div>:
<div>
India is among the top ten priority markets for General Mills, and hosts our Global Shared Services Centre. This is the Global Shared Services arm of General Mills Inc., which supports its operations worldwide. With over 1,300 employees in Mumbai, the center has capabilities in the areas of Supply Chain, Finance, HR, Digital and Technology, Sales Capabilities, Consumer Insights, ITQ (R&amp;D &amp; Quality), and Enterprise Business Services. Learning and capacity-building is a key ingredient of our success.</div>
Job Description:<div><div><div><div><div><div> 
Position Title</div><div> 
GIC SWAT Demand Planner</div><div> 
Function/Group</div> 
Supply Chain</div><div><div> 
Location</div><div> 
Mumbai (Powai)</div><div> 
Shift Timing</div><div> 
03:30 PM &ndash; 12:30 AM</div></div><div><div> 
Role Reports to</div> 
Head &ndash; GIC Demand Planning<div> 
Remote/Hybrid/in-Office</div><div> 
Hybrid &ndash; Minimum 2-3 days in a week</div></div></div> 
ABOUT GENERAL MILLS 
We make food the world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and H&auml;agen-Dazs, we&rsquo;ve been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell.
How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate
us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. For more details check out http://www.generalmills.com 
General Mills India Center (GIC) is our global capability center in Mumbai that works as an extension of our global organization delivering business value, service excellence and growth, while standing for good for our planet and people.
With our team of 1800+ professionals, we deliver superior value across the areas of Supply chain (SC) , Digital &amp; Technology (D&amp;T) Innovation, Technology &amp; Quality (ITQ), Consumer and Market Intelligence (CMI), Sales Strategy &amp; Intelligence (SSI) , Global Shared Services (GSS) , Finance Shared Services (FSS) and Human Resources Shared Services (HRSS).For more details check out https://www.generalmills.co.in
We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow. 
JOB OVERVIEW</div></div><div><div> 
Function Overview 
The GIC Supply Chain team manages end-to-end operations, encompassing planning, sourcing, manufacturing, logistics, and analytics. They strategically plan to meet market demands, optimize sourcing, ensure efficient production, and oversee the seamless movement of goods from production to delivery. The team employs advanced analytics throughout these processes, fostering adaptability and operational excellence. This collaborative approach ensures a well-coordinated supply chain that aligns with both organizational goals and dynamic market conditions. 
For more details about the Function please visit this Link 
Purpose of the role 
This role is responsible for contributing to and/or leading operational demand planning activities, ensuring the accuracy and reliability of forecasts, and driving continuous improvement within the demand planning process. The role involves collaborating with cross-functional teams, analyzing data, and implementing solutions to optimize forecasting accuracy and efficiency. This role is also responsible for leading the team, performance management and development of the team.</div></div><div> 
KEY ACCOUNTABILITIES</div><div></div><div><div><div> 
Key Responsibilities:</div><ul><li>
Lead the demand review (DR) process to develop monthly volume forecasts, driving alignment to the best operational demand plan. Collaborate with marketing, finance, and sales to leverage various consumer movements, merchandising, and customer insights.</li><li>
Run the Demand Review process with an end-to-end look by forecasting for multiple channels.
</li><li>Generate data-driven business insights to drive alignment on key demand assumptions</li><li>
Collaborate with GIC operational demand analysts to develop the best item/week/location forecasts to achieve inventory targets while enabling superior customer service.</li><li>
Collaborate with the GIC Statistical Forecasting Analyst to deliver business insights that optimize statistical forecasting output for the business.</li><li>
Influence the commercial and business team to improve statistical forecasting adoption to reduce manual efforts.</li><li>
Contribute to new product forecasting assumptions and participate in launch meetings.</li><li>
Partner with the cross-functional business team to ensure a successful Sales and Operations process that balances supply and demand while minimizing waste.</li><li>
Metrics and KPIs : Engage / Participate in OU BPM RUN and Improve meetings to provide business insights on defined business metrics.</li><li>
Drive continuous improvement by analyzing current processes and implementing new forecasting methodologies, tools, and techniques to reduce effort and improve results.</li><li>
Collaborate with the GIC Hub leadership team in contributing to functional OGSM development and other improve initiatives.</li><li>
Drive a continuous improvement mindset through waste elimination, improving, standardizing, and automating existing processes.</li><li>
Mentor &amp; train team members to develop SWAT capability within the HUB Demand planning team.</li><li>
Partner with the GPE (Global Process excellence) and OU (Operating Unit) team to work on process improvements.</li></ul></div></div><div></div><div> 
 MINIMUM QUALIFICATIONS</div><div><div> 
</div></div> 
</div><ul><li>
Education &ndash; Full time graduation from an accredited university (Mandatory- Note: This is the minimum education criteria which cannot be altered)</li><li>
Master in business administrations &ndash; with specialization in Supply chain, Operations management</li></ul><div></div><div> 
PREFERRED QUALIFICATIONS</div> 
<div></div><ul><li>
Master in business administrations &ndash; with specialization in Supply chain, Operations management</li><li>
CSCP, CPF- Certified Professional Forecaster by Institute of Business Forecasting</li><li>
Minimum years of related experience required: 6-8 years</li><li>
work experience in Demand Planning, Demand Forecasting, S&amp;OP, IBP , Statistical modelling or Supply Planning</li></ul></div><div></div>

SWAT Demand Planner

Kenvue

<div>
 
 Kenvue Is Currently Recruiting For A:
 
 
 
 Analyst, Data Science
 
 
 
 
 What We Do
 
 
 
 
 At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we&rsquo;re the house of iconic brands - including NEUTROGENA&reg;, AVEENO&reg;, TYLENOL&reg;, LISTERINE&reg;, JOHNSON&rsquo;S&reg; and BAND-AID&reg; that you already know and love. Science is our passion; care is our talent.
 
 
 
 
 Who We Are
 
 
 
 
 Our global team is ~ 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated. We are passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage &ndash; and have brilliant opportunities waiting for you! Join us in shaping our future&ndash;and yours. For more information, click here.
 
 
 
 
 Role Reports To:
 
 
 
 
 Digital Solutions Manager
 
 
 
 Location:
 
 
 
 Asia Pacific, India, Karnataka, Bangalore
 
 
 
 Work Location:
 
 
 
 Hybrid
 
 
 
 
 What You Will Do
 
 
 
 
 Kenvue is currently recruiting for:
 
 
 
 Analyst, Data Science [Forecasting]
 
 
 
 This position reports to the Manager, Digital Solutions and is based at Bangalore, India.
 
 
 
 
 Who We Are
 
 
 
 
 At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we&rsquo;re the house of iconic brands - including Neutrogena, Aveeno, Tylenol, Listerine, Johnson&rsquo;s and BAND-AID&reg; Brand Adhesive Bandages that you already know and love. Science is our passion; care is our talent. Our global team is made up of ~ 22,000 diverse and brilliant people, passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact the life of millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage &ndash; and have brilliant opportunities waiting for you! Join us in shaping our future&ndash;and yours. For more information, click here.
 
 
 
 Role reports to:
 
 Manager, Digital Solutions
 
 
 
 Location:
 
 Bangalore, India
 
 
 
 Travel %:
 
 up to 10%
 
 
 
 
 What You Will Do
 
 
 
 
 A typical day will involve collaborating with software engineers and business groups. Your work will involve utilizing Python and SQL to implement and improve upon demand forecasting algorithms, by testing model improvements, running computational experiments, and fine-tuning model parameters. Deployment of sophisticated multivariate algorithms will improve upon existing approaches and discovering new data sources to further build upon current capabilities. As a successful data scientist in demand forecasting, you would be an analytical problem solver who enjoys diving into data, is passionate about investigations and algorithms, and can credibly interact between technical teams and business partners. A key capability in the collaboration is to have users of the forecasts understand how it is built up, its expected behavior and what is and is not considered, thus building trust in the models to drive usage.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions
 </li>
 <li>
 Advanced skills with statistical/programming in Python and data querying languages (e.g., SQL, Hadoop/Hive, Scala)
 </li>
 <li>
 Solid understanding of time-series forecasting techniques
 </li>
 <li>
 Good hands-on skills in both feature engineering and hyperparameter optimization
 </li>
 <li>
 Able to write clean and tested code that can be maintained by other software engineers
 </li>
 <li>
 Able to clearly summarize and communicate data analysis assumptions and results
 </li>
 <li>
 Able to craft effective data pipelines to transform your analyses from offline to production systems
 </li>
 <li>
 Self-motivated and a proactive problem solver who can work independently and in teams
 </li>
 <li>
 Connects both externally and internally to understand industry trends, technology advances and outstanding processes or solutions
 </li>
 <li>
 Is collaborative and engages (strategic &amp; tactical. Able to influence without authority, handle complex issues and implement positive change
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 
 What We Are Looking For
 
 
 
 <ul>
 <li>
 Master's degree in a quantitative field such as Data Science, Statistics, Applied Mathematics or Bachelor's degree in engineering, computer science, or related field.
 </li>
 <li>
 2 &ndash; 3 years of total work experience as data scientist or analytical role, with at least 1 project in time series forecasting
 </li>
 <li>
 A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project
 </li>
 <li>
 Hands on experience in Time Series Forecasting and Demand Planning
 </li>
 <li>
 Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala)
 </li>
 <li>
 Good hands-on skills in both feature engineering and hyperparameter optimization
 </li>
 <li>
 Experience producing high-quality code, tests, documentation
 </li>
 <li>
 Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization &amp; forecasting techniques, and / or deep learning methodologies
 </li>
 <li>
 Proficiency in statistical concepts and ML algorithms
 </li>
 <li>
 Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results
 </li>
 <li>
 Self-motivated and a proactive problem solver who can work independently and in teams
 </li>
 <li>
 Outstanding verbal and written communication skills with the ability to effectively advocate technical solutions to engineering and business teams
 
 
 </li>
 </ul>
 
 Desired Qualifications
 
 
 
 <ul>
 <li>
 Experience working in one or multiple supply chain functions (e.g., procurement, planning, manufacturing, quality, logistics) is strongly preferred
 </li>
 <li>
 Experience in applying AI/ML within a CPG or Healthcare business environment is strongly preferred
 </li>
 <li>
 Experience in creating CI/CD pipelines for deployment using Jenkins.
 </li>
 <li>
 Experience implementing MLOPs framework along with understanding of data security
 </li>
 <li>
 Implementation on ML models
 </li>
 <li>
 Exposure to visualization packages and Azure tech stack.
 
 
 </li>
 </ul>
 
 
 What&rsquo;s In It For You
 
 
 
 
 <ul>
 <li>
 Competitive Total Rewards Package*
 </li>
 <li>
 Paid Company Holidays, Paid Vacation, Volunteer Time &amp; More!
 </li>
 <li>
 Learning &amp; Development Opportunities
 </li>
 <li>
 Employee Resource Groups
 </li>
 <li>
 This list could vary based on location/region
 </li>
 <li>
 Note: Total Rewards at Kenvue include salary, bonus (if applicable) and benefits. Your Talent Access Partner will be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the recruitment &amp; hiring process.
 
 
 </li>
 </ul>
 Kenvue is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, protected veteran status, or any other legally protected characteristic, and will not be discriminated against on the basis of disability.
 
 
 If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.
</div>

Analyst, Data Science

<div>
 
 Kenvue Is Currently Recruiting For A:
 
 
 
 Sr. Analyst, Data Science
 
 
 
 
 What We Do
 
 
 
 
 At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we&rsquo;re the house of iconic brands - including NEUTROGENA&reg;, AVEENO&reg;, TYLENOL&reg;, LISTERINE&reg;, JOHNSON&rsquo;S&reg; and BAND-AID&reg; that you already know and love. Science is our passion; care is our talent.
 
 
 
 
 Who We Are
 
 
 
 
 Our global team is ~ 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated. We are passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage &ndash; and have brilliant opportunities waiting for you! Join us in shaping our future&ndash;and yours. For more information, click here.
 
 
 
 
 Role Reports To:
 
 
 
 
 Digital Solutions Manager
 
 
 
 Location:
 
 
 
 Asia Pacific, India, Karnataka, Bangalore
 
 
 
 Work Location:
 
 
 
 Hybrid
 
 
 
 
 What You Will Do
 
 
 
 
 Kenvue is currently recruiting for:
 
 
 
 Senior Analyst, Data Science [Forecasting]
 
 
 
 This position reports to the Manager, Digital Solutions and is based at Bangalore, India.
 
 
 
 
 Who We Are
 
 
 
 
 At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we&rsquo;re the house of iconic brands - including Neutrogena, Aveeno, Tylenol, Listerine, Johnson&rsquo;s and BAND-AID&reg; Brand Adhesive Bandages that you already know and love. Science is our passion; care is our talent. Our global team is made up of ~ 22,000 diverse and brilliant people, passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact the life of millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage &ndash; and have brilliant opportunities waiting for you! Join us in shaping our future&ndash;and yours. For more information, click here.
 
 
 
 Role reports to:
 
 Manager, Digital Solutions
 
 
 
 Location:
 
 Bangalore, India
 
 
 
 Travel %:
 
 up to 10%
 
 
 
 
 What You Will Do
 
 
 
 
 A typical day will involve collaborating with software engineers and business groups. Your work will involve utilizing Python and SQL to implement and improve upon demand forecasting algorithms, by testing model improvements, running computational experiments, and fine-tuning model parameters. Deployment of sophisticated multivariate algorithms will improve upon existing approaches and discovering new data sources to further build upon current capabilities. As a successful data scientist in demand forecasting, you would be an analytical problem solver who enjoys diving into data, is passionate about investigations and algorithms, and can credibly interact between technical teams and business partners. A key capability in the collaboration is to have users of the forecasts understand how it is built up, its expected behavior and what is and is not considered, thus building trust in the models to drive usage.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions
 </li>
 <li>
 Advanced skills with statistical/programming in Python and data querying languages (e.g., SQL, Hadoop/Hive, Scala)
 </li>
 <li>
 Solid understanding of time-series forecasting techniques
 </li>
 <li>
 Good hands-on skills in both feature engineering and hyperparameter optimization
 </li>
 <li>
 Able to write clean and tested code that can be maintained by other software engineers
 </li>
 <li>
 Able to clearly summarize and communicate data analysis assumptions and results
 </li>
 <li>
 Able to craft effective data pipelines to transform your analyses from offline to production systems
 </li>
 <li>
 Self-motivated and a proactive problem solver who can work independently and in teams
 </li>
 <li>
 Connects both externally and internally to understand industry trends, technology advances and outstanding processes or solutions
 </li>
 <li>
 Is collaborative and engages (strategic &amp; tactical. Able to influence without authority, handle complex issues and implement positive change
 </li>
 <li>
 Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science
 </li>
 <li>
 Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment
 </li>
 <li>
 Provide guidance and leadership to more junior data scientists, managing processes and flow of work, vetting designs, and mentoring team members to realize their full potential
 </li>
 <li>
 Lead discussions at peer review and use interpersonal skills to positively influence decision making
 </li>
 <li>
 Provide subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions to internal discussions on emerging practices
 </li>
 <li>
 Facilitate cross-geography sharing of new ideas, learnings, and best-practices
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 
 What We Are Looking For
 
 
 
 <ul>
 <li>
 Master's degree in a quantitative field such as Data Science, Statistics, Applied Mathematics or Bachelor's degree in engineering, computer science, or related field.
 </li>
 <li>
 4 &ndash; 6 years of total work experience as data scientist or analytical role, with at least 2-3 years of experience in time series forecasting
 </li>
 <li>
 A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project
 </li>
 <li>
 Strong experience in Time Series Forecasting and Demand Planning
 </li>
 <li>
 Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala)
 </li>
 <li>
 Good hands-on skills in both feature engineering and hyperparameter optimization
 </li>
 <li>
 Experience producing high-quality code, tests, documentation
 </li>
 <li>
 Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization &amp; forecasting techniques, and / or deep learning methodologies
 </li>
 <li>
 Proficiency in statistical concepts and ML algorithms
 </li>
 <li>
 Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team
 </li>
 <li>
 Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results
 </li>
 <li>
 Self-motivated and a proactive problem solver who can work independently and in teams
 </li>
 <li>
 Outstanding verbal and written communication skills with the ability to effectively advocate technical solutions to engineering and business teams
 
 
 </li>
 </ul>
 
 Desired Qualifications
 
 
 
 <ul>
 <li>
 Experience working in one or multiple supply chain functions (e.g., procurement, planning, manufacturing, quality, logistics) is strongly preferred
 </li>
 <li>
 Experience in applying AI/ML within a CPG or Healthcare business environment is strongly preferred
 </li>
 <li>
 Experience in creating CI/CD pipelines for deployment using Jenkins.
 </li>
 <li>
 Experience implementing MLOPs framework along with understanding of data security
 </li>
 <li>
 Implementation on ML models
 </li>
 <li>
 Exposure to visualization packages and Azure tech stack.
 
 
 </li>
 </ul>
 
 
 What&rsquo;s In It For You
 
 
 
 
 <ul>
 <li>
 Competitive Total Rewards Package*
 </li>
 <li>
 Paid Company Holidays, Paid Vacation, Volunteer Time &amp; More!
 </li>
 <li>
 Learning &amp; Development Opportunities
 </li>
 <li>
 Employee Resource Groups
 </li>
 <li>
 This list could vary based on location/region
 </li>
 <li>
 Note: Total Rewards at Kenvue include salary, bonus (if applicable) and benefits. Your Talent Access Partner will be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the recruitment &amp; hiring process.
 
 
 </li>
 </ul>
 Kenvue is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, protected veteran status, or any other legally protected characteristic, and will not be discriminated against on the basis of disability.
 
 
 If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.
</div>

Sr. Analyst, Data Science

KMK Consulting, Inc.

<div>Consultant/Senior Consultant- FORECASTING 
KMK is a global data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions. 
 
Our data analytics and software platforms support data science, commercial operations, real world evidence, and cloud information management. We help to optimize business strategy and operations by delivering cutting edge analytics from the broadest set of data sources, combined with deep technical and domain expertise. We enable commercial excellence by delivering analytical guidance to the field through SalesOps? our cloud-based sales planning and operations platform. We are leaders in managing data using the latest cloud information management and big data technologies. 
 
We have more than 220 employees worldwide, are growing rapidly, and are proud to count a number of the top 10 global Life Sciences companies as our customers. We serve clients with a high-touch on-site and onshore presence, leveraged by a global delivery platform. 
 
Responsibilities:
<ul><li>Evaluate the current forecasting processes, required patient flow experience, and multiple methodologies, and work to evolve the sophistication and capability of the function to serve the needs of a dynamic and diverse portfolio.</li><li>
Support the quarterly, long-term, and pipeline forecasting process through best-in-class forecasting models and analytics.</li><li>
Build and cultivate strong relationships with key stakeholders across Marketing, Market Research, Market Access, Finance, and Data Management built on trust, transparency, and communication.</li><li>
Ensure integration and synthesis of insights and information across the broader Commercial Operations team, as well as Sales and Marketing</li><li>
Ensure that forecasting and insights include:</li></ul><ul><li>
Recommendations and guidance for business and brand decisions that account for customer need as well as the need to establish and maintain viable, profitable brands/businesses.</li><li>
Full understanding of performance as well as proactive, forward-looking perspectives on business trends, uncertainties, issues, opportunities, and implications for commercial strategies and actions</li></ul>
Minimum Qualifications:<ul><li>
Bachelor&rsquo;s degree: Advanced degree in business-related discipline preferred.</li><li>
5-7 years of industry experience, including experience in Forecasting with patient- and trend-based modeling.
</li><li>Minimum 3 years of Forecasting experience with ability to build excel based models.
</li><li>Experience in statistical modeling and forecasting tools.</li><li>
Experience in Oncology preferred.</li></ul>
Preferred Competencies: 
The successful candidate will have a demonstrated ability to lead strategically, build alignment, work independently, and collaborate with colleagues at all levels of the organization. This candidate will also have demonstrated initiative, creativity, and the ability to work in a complex, rapidly changing &amp; ambiguous environment. 
<ul><li>Thorough understanding of pharmaceutical forecasting and performance management</li><li>
Strong experience with statistical modeling and analyzing the IQIVA national and subnational data or any other relevant data sets the client is leveraging.</li><li>
Demonstrated ability to analyze primary market research and secondary data sources and to integrate insights into the forecasting process.
</li><li>Great understanding of forecasting considerations in life sciences, experience generating and supporting recommendations around key forecast inputs and assumptions, etc.</li><li>
Strong analytical, conceptual, and problem-solving abilities</li><li>
Demonstrated ability to influence others; Proven ability to collaborate cross-functionally.</li><li>
Refined communication/presentation skills, and an ability to work well up and down the command chain internally and externally.</li></ul>
About KMK Consulting Inc 
KMK Consulting brings together a range of functional competencies in marketing science, market research, forecasting and sales force effectiveness to provide our biopharma clients with fully integrated solutions that support their commercial success. 

AWFX7rMP6h</div>

Consultant/Senior Consultant- Forecasting

Google

<div>
 Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
 
 
 Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
 
 Sunnyvale, CA, USA; Austin, TX, USA; San Francisco, CA, USA
 
 .
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
 </li>
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 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
 </li>
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 3 years of experience in data science, with a focus on time series analysis and forecasting.
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 Experience in causal inference, A/B testing, statistical modeling, or machine learning.
 </li>
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 Experience with a range of forecasting methods, from classical statistical models to machine learning approaches.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 4 years of experience deploying and maintaining forecasting models in a live production environment.
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 Experience with recent advancements in forecasting, such as foundation models (TimesFM) or deep learning approaches.
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 Experience in a demand planning, contact center, or operational workforce management role.
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 <li>
 Familiarity with cloud platforms (e.g., Google Cloud Platform) and their AI/ML services (e.g., BigQuery, Vertex AI).
 </li>
 <li>
 Ability to apply judgmental forecasting and incorporate qualitative business adjustments into model outputs, especially for new or unprecedented events.
 
 
 </li>
 </ul>
 
 About the job
 
 In this role, you will be responsible for developing and maintaining the models that predict our customer support case volume. Your work will be a critical input for the organization's staffing, budgeting, and planning, directly impacting our ability to deliver exceptional customer support at scale.The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
 
 
 Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop, deploy, and maintain time series forecasting models to predict customer support case volumes across various products, regions, and channels.
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 Build and automate scalable data pipelines to ensure timely and reliable data for model training and inference.
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 Monitor and evaluate model performance, dealing with key accuracy metrics, identifying model drift, and ensuring forecast reliability. Research and implement forecasting techniques to continuously improve model accuracy and capabilities.
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 Partner with Operations, Finance, and leadership stakeholders to understand their planning needs, deliver forecasts, and explain variance drivers.
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 Communicate forecast results and uncertainty to both technical and non-technical audiences to guide strategic decision-making.
 
 
 
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 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Business Data Scientist, Forecasting, Google Cloud

Arab Solutions

<div>
 
 Job Title: Data Scientist &ndash; Population &amp; Demographic Modeling
 
 
 Role Overview
 
 
 
 The Data Scientist will lead the development and management of population and demographic models to forecast demographic dynamics and support long-term strategic planning. The role complements economic modeling by applying advanced data science, machine learning, and forecasting techniques to strengthen economic foresight, scenario planning, and policy decision-making within the Strategic Foresight Department.
 
 
 
 Key Roles &amp; Responsibilities
 
 
 
 <ul>
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 Design, develop, and maintain population and demographic models (e.g., cohort-component models) to project fertility, mortality, and migration trends.
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 Lead demographic data analysis using census, survey, administrative, and alternative data sources.
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 Build and manage scalable data pipelines integrating multi-source demographic and economic datasets.
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 Support macroeconomic modeling and forecasting through advanced statistical, econometric, and machine learning techniques.
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 Collaborate with economists, foresight researchers, and scenario planners to integrate demographic and economic projections into foresight scenarios.
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 Produce population outlooks, trend analyses, and interactive dashboards to inform government planning and policy development.
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 Ensure data quality, model transparency, validation, and reproducibility.
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 Maintain comprehensive documentation of methodologies, assumptions, and analytical outputs.
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 Provide technical training and knowledge transfer on population modeling and data science methods.
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 Explore innovative approaches including AI/ML, big data, geospatial analysis, and simulation techniques to enhance forecasting accuracy.
 </li>
 <li>
 Ensure structured handover and sustainability of all analytical models and tools.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree or PhD in Data Science, Statistics, Computer Science, Demography, or a related field.
 </li>
 <li>
 4+ years of experience in population modeling, demographic forecasting, or applied data science.
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 <li>
 Demonstrated expertise in population modeling and demographic data analysis.
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 Experience working with government, public sector entities, think tanks, or international organizations is strongly preferred.
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 Experience working with large-scale, policy-driven datasets is an advantage.
 
 
 </li>
 </ul>
 
 Technical Competencies
 
 
 
 <ul>
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 Proficiency in Python and/or R for statistical and demographic modeling.
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 Strong experience with machine learning, simulation, and predictive analytics.
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 Experience with cloud data platforms such as AWS, Azure, or CDP environments.
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 Strong data management and querying skills (e.g., SQL).
 </li>
 <li>
 Proficiency in data visualization and dashboarding tools (e.g., Power BI, Tableau).
 </li>
 <li>
 Strong proficiency in Microsoft Office, especially Excel and PowerPoint for policy-oriented reporting.
 
 
 </li>
 </ul>
 
 Language Requirements
 
 
 
 <ul>
 <li>
 Fluent in Arabic and English, both written and spoken.
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 Strong analytical, critical thinking, and problem-solving abilities.
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 <li>
 High attention to detail with a strong commitment to data integrity and research quality.
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 <li>
 Ability to collaborate effectively across multidisciplinary teams.
 </li>
 <li>
 Skilled at translating complex analytical findings into clear, actionable insights for policymakers.
 </li>
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 Innovative, adaptive, and curious, with a strong interest in emerging tools and methodologies.
 
 
 </li>
 </ul>
 Skills: advanced statistical,machine learning techniques,ai/ml,foresight scenarios,aws,geospatial analysis,cloud data,cdp environments,big data,azure,data quality,econometric,data pipelines,python
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Data Scientist (Arabic)

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