6 Statistical Methods Jobs

Description We are seeking a Scheduling and Forecasting Lead to join our team in India. The ideal candidate will be responsible for overseeing scheduling and forecasting activities, ensuring that projects are delivered on time and resources are effectively utilized. Responsibilities Develop and implement scheduling and forecasting processes to optimize resource allocation and workload management. Analyze historical data to create accurate forecasts for project timelines and resource needs. Collaborate with cross-functional teams to understand project requirements and adjust schedules accordingly. Monitor and report on scheduling performance metrics, identifying areas for improvement. Provide training and support to team members on scheduling tools and best practices. Skills and Qualifications Bachelor's degree in Business Administration, Operations Management, or a related field. 5-7 years of experience in scheduling, forecasting, or project management. Proficiency in scheduling software (e.g., Microsoft Project, Primavera) and data analysis tools (e.g., Excel, SQL). Strong analytical skills with the ability to interpret complex data and make informed decisions. Excellent communication and interpersonal skills to work effectively with team members and stakeholders.

Position Purpose The main mission of this position will be to leverage data analytics and machine learning techniques to enhance financial decision-making, optimise processes, and mitigate risks . This involves analysing large datasets to uncover insights, developing predictive models to forecast financial trends, and creating data-driven strategies to improve efficiency and profitability. This also includes a capacity to proactively propose axes of improvement of F&S processes through data-driven solutions. Responsibilities Analysing large datasets to identify trends, patterns, and insights that can inform business decisions Designing and developing Predictive (Machine Learning) models Finding, managing and using the most appropriate data sources for modelling purposes Working with expert colleagues and business representatives to examine the results and keep models grounded in reality Documenting each step of the development and informing decision makers by presenting them options and results Ensuring correct implementation of the tools (together with the IT department - FRS) Continuously assessing models by means of back-testing Timely tracking of the deliverables against agreed timeline and budget Arrange smooth go-live implementation and provide post go-live support Present project status regularly to senior management Build and maintain a trusted relationship with all F&S stakeholders across different functions (PMO, IT, finance users, operation teams) Technical & Behavioral Competencies At least 5 years of experience in Machine learning algorithms, Frameworks and industrialisation: Master Degree or higher in Mathematics, Physics, Statistics, Computer science, Data Science or similar background where analytics and figures prevail Degree in Accounting / Finance is a plus Proficiency in programming languages such as Python and R Proficiency in data science tools and environments, such as Jupyter Notebooks and Git Good knowledge of SQL Knowledge of Data Visualisation solution(s) Strong understanding of statistical methods and concepts Having at least sound knowledge of Finance processes and/or systems is a plus Experience of working in Global work environment across cultures appreciated Experience with database management systems Experience with machine learning algorithms and frameworks (professional/academic) Experience in machine-learning models industrialisation Strong listening skills, strong interpersonal skills and a strong cross-functional cooperation between teams Rigorous and dynamic, you like human contact, work as a team and have an excellent organization ability Knowledge of Banking and Financial services Good communication (oral and written), organisation and documentation skills Ability to adapt to change and proficient in problem solving. Capability to work and interact with various people of different expertise and level. Client oriented Collaborative worker & team player Skills Referential Behavioural Skills : (Please select up to 4 skills) Communication skills - oral & written Ability to synthetize / simplify Creativity & Innovation / Problem solving Ability to deliver / Results driven Transversal Skills: (Please select up to 5 skills) Ability to set up relevant performance indicators Analytical Ability Ability to develop and adapt a process Ability to develop and leverage networks Ability to manage / facilitate a meeting, seminar, committee, training Education Level: Bachelor Degree or equivalent Other/Specific Qualifications (if required) Language: Fluent English, French is a plus

Role & responsibilities Lead the SQE/ IQC team and ensure the team performance to meet the department goals Identify the strength & weakness of team members. Define the job responsibilities to the team. Plan the training programmes for the team as per requirement Supplier Performance : Implement rigorous qualification processes, ensuring that selected suppliers meet performance standards Build and nurture positive relations with suppliers driving performance improvements to ensure product quality. Track supplier KPIs and performance trends identifying areas for improvement. Outcomes to be evaluated through metrics such as supplier yield, field defect rate, supplier quality plan engagement/effectiveness & corrective and preventative action closure. Conduct regular supplier audits & closing of open points on time Lead the SQE team to taken up the supplier complaints with respective suppliers. Ensure the on time closing of supplier concerns with 8D. Review the supplier 8D and ensure the CAPA is effective Conduct root cause analysis for recurring problems with supplier and implement targeted process improvement solutions that improve the quality. Preferred candidate profile Experience in Supplier Quality department in manufacturing level. B.E Mechanical / Electrical Engineering 10 - 12 years of Industry experience with Strong technical background on Stamping, Moulding, plating, assembly. Preference: Connector manufacturing industries Substantial experience in supplier development. Experience dealing with suppliers. Experience in developing and implementing vendor qualifications. Strong knowledge of Production Part Approval Process (PPAP), Failure Mode and Effect Analysis (FMEA) , Control plan etc. Good leadership skills Understanding and interpretation of engineering drawings and related manufacturing processes Excellent computer skills Excel, Microsoft Word, PowerPoint, ERP Knowledge like QAD/Macola. Ability to travel towards vendor sites most of the time. Strong knowledge in Stamping, Plating & Molding operations & components Good knowledge in GD & T

Bachelor's degree in discipline such as Supply Chain, Economic, Manufacturing, Technology, or Data Analytics to bring diversity and different perspectives Minimum 3 years of experience in data analysis with understanding of statistical methods and strong analytical skills Experience with database management, programming, statistical modelling and/or business intelligence (SQL, R, Python, JMP, Tableau, etc.) Experienced with and proficient in Microsoft Office Suite Lateral and logical thinking. The ability to think creatively and outside the box to solve unique and challenging problems Motivated self-starter Strong problem-solving tendencies Willing and able to push boundaries Goal-oriented, with a focus on utilizing data for insight Able to multi-task, prioritize and project manage independently in an environment with competing priorities Experience working in a technical, operational or manufacturing environment with the ability to translate that knowledge into financial opportunities Diverse functional experience, with a desire to use data in negotiations Excellent communication skills and a proven history of excelling in a collaborative environment as a key team player Working closely with technical teams, and other organizations to understand the product and data Finding and interpreting large data sets to help predict costs Learning and understanding Boeing's data resources and knowing when, how, and which to use and which not to use. Identifying, analyzing, and solve systematic problems, while maintaining focus on the bigger picture Working together with the team to ensure data analysis and developed algorithms can be appropriately applied for negotiation support Ensuring data collected, analyzed and presented result in actionable insights for negotiation support Engaging and participating in negotiation support, to bolster the use of data analytics within supplier negotiations Understanding high-level business objectives and continually align those objectives to meet needs of the business.

AM/ DM - Process Quality Experience: 7- 10 Years Qualification: Diploma /B.E (Electrical/ Electronics Engineering) WORK LOCATION: CHENNAI SHOULD HAVE EXPERIENCE IN SOLAR INDUSTRY (MANDATORY) Should have exp in supplier quality management, Quality tools, Kaizen, Solar experience, Monitor and evaluate key performance indicators (KPIs), quality control techniques, statistical methods IF YOU ARE INTERESTED TO APPLY FOR THIS JOB SHARE YOUR RESUME TO careers@leadhr.net Contact No: 99406 32343

We are looking to hire a Demand Planning and Sales Operations planning manager to handle the following responsibilities : Leads and refines the S&OP process , ensuring alignment between sales, marketing, finance, and supply chain for accurate forecasting and demand planning. Analyzes market trends, seasonality, and promotional impacts using statistical tools and AI/ML to adjust forecasts and support data-driven decisions. Monitors key metrics like forecast accuracy and inventory health , driving cross-functional actions to prevent stock imbalances and optimize supply chain flow. Supports product lifecycle planning , coordinating launches, phase-outs, and minimizing slow-moving or obsolete inventory. Drives continuous process improvement , aligning operational plans with financial targets to boost efficiency and customer satisfaction. Candidate profile MBA with 6-8 years of experience with proficiency in MS Office, SAP, Power BI Proven experience in demand planning/ S&OP coordination