Senior Data Scientist

Position Title: MIS & Costing

Designation: Assistant Manager/ Manager/Sr Manager

Current Role: Costing Experience

Minimum Experience:  3 Years

Location: Ahmedabad, Gujarat

Education: Bachelor’s degree in Accounting, Finance, 3 years of experience in Costing & MIS, OR ICWA Qualified

Salary: No Bars for the Right Potential Candidate

Job Overview

We are looking for a highly skilled and detail-oriented MIS & Costing professional with over minimum  5 years of experience in Costing, MIS, SAP, and Product Costing. The ideal candidate will have a strong background in Costing, Product Costing, and financial planning proficiency in SAP ERP systems. You will play a key role in optimizing costing methodologies, driving insightful reporting, and ensuring accurate financial planning for the organization.

Key Responsibilities

1. Costing Analysis & Reporting

• Perform detailed product costing analysis, ensuring the accurate calculation of standard costs, variances, and margins.
• Develop cost models and perform cost analysis for new and existing products.
• Work closely with the product development, manufacturing, and procurement teams to track and manage product costs.
• Conduct monthly, quarterly, and annual variance analysis and highlight any discrepancies in cost structures.

2. MIS (Management Information System) Reporting

• Prepare and deliver monthly MIS reports on cost, financial performance, and key performance indicators (KPIs) for senior management.
• Create and maintain automated financial reporting tools to streamline MIS data extraction and presentation.
• Design customized reports and dashboards for various departments (Finance, Operations, etc.) to provide insights into cost management and efficiency.

3. SAP Costing Management

• Manage and maintain costing functionality within SAP, ensuring that data integrity and accuracy are consistently upheld.
• Collaborate with SAP teams to ensure accurate and efficient integration of costing data across the system.
• Implement cost-related improvements and enhancements within the SAP environment.

4. Product Costing & Profitability Analysis

• Oversee the establishment of product costings, ensuring alignment with manufacturing and procurement processes.
• Conduct regular reviews of product costs and identify areas for cost optimization.
• Perform profitability analysis by comparing actual versus expected performance, providing recommendations for improvements.

5. Budgeting & Forecasting

• Assist in the preparation and review of annual budgeting and forecasting processes, focusing on cost analysis and financial projections.
• Provide cost forecasts based on market trends, historical data, and production plans.

6. Cross-Functional Collaboration

• Work closely with operations, production, and procurement teams to ensure accurate cost tracking and timely reporting.
• Provide costing insights to support strategic decision-making for new projects, product launches, and cost-saving initiatives.

7. Process Improvement

• Identify opportunities for process improvements in costing methodologies and MIS reporting.

Develop and implement best practices for costing, reporting, and data management to enhance overall efficiency.

Experience:

• Minimum of 3 years of experience in Costing, MIS, and SAP.
• At least 3 years of experience in Product Costing or similar roles, ideally in a manufacturing or production environment.
• Proven track record of delivering accurate and actionable financial reports.

Skills:

• Advanced proficiency in SAP (preferably SAP S/4HANA or SAP FICO).
• Strong knowledge of Costing techniques, including standard costing, activity-based costing, and variance analysis.
• Proficient in Microsoft Excel (advanced functions such as Pivot Tables, VLOOKUP, etc.) and other financial analysis tools.
• Strong analytical and problem-solving skills, with the ability to manage multiple projects simultaneously.
• Excellent verbal and written communication skills for reporting and cross-functional collaboration.

LogiNext is looking for a technically savvy and passionate Senior Software Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.

Responsibilities :

Adapting and enhancing machine learning techniques based on physical intuition about the domain Design sampling methodology, prepare data, including data cleaning, univariate analysis, missing value imputation, , identify appropriate analytic and statistical methodology, develop predictive models and document process and results Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule and on budget Coordinate and lead efforts to innovate by deriving insights from heterogeneous sets of data generated by our suite of Aerospace products Support and mentor data scientists Maintain and work with our data pipeline that transfers and processes several terabytes of data using Spark, Scala, Python, Apache Kafka, Pig/Hive & Impala Work directly with application teams/partners (internal clients such as Xbox, Skype, Office) to understand their offerings/domain and help them become successful with data so they can run controlled experiments (a/b testing) Understand the data generated by experiments, and producing actionable, trustworthy conclusions from them Apply data analysis, data mining and data processing to present data clearly and develop experiments (ab testing) Work with development team to build tools for data logging and repeatable data tasks tol accelerate and automate data scientist duties

Requirements:

Bachelor’s or Master’s degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field. PhD preferred 4 to 7 years of experience in data mining, data modeling, and reporting 3+ years of experience working with large data sets or do large scale quantitative analysis Expert SQL scripting required Development experience in one of the following: Scala, Java, Python, Perl, PHP, C++ or C# Experience working with Hadoop, Pig/Hive, Spark, MapReduce Ability to drive projects Basic understanding of statistics – hypothesis testing, p-values, confidence intervals, regression, classification, and optimization are core lingo Analysis - Should be able to perform Exploratory Data Analysis and get actionable insights from the data, with impressive visualization. Modeling - Should be familiar with ML concepts and algorithms; understanding of the internals and pros/cons of models is required. Strong algorithmic problem-solving skills Experience manipulating large data sets through statistical software (ex. R, SAS) or other methods Superior verbal, visual and written communication skills to educate and work with cross functional teams on controlled experiments Experimentation design or A/B testing experience is preferred. Experince in team management.

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Author data services using a variety of programming languages
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and Azure regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Work in an Agile environment with Scrum teams.
• Ensure data quality and help in achieving data governance.

• 2+ years of experience in a Data Engineer role
• Undergraduate degree required (Graduate degree preferred) in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
• Experience using the following software/tools:
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases
  • Experience with data pipeline and workflow management tools
  • Experience with Azure cloud services: ADLS, ADF, ADLA, AAS
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

• Designing, implementing and improving company quality standards and analyzing data in order to find areas for growth and improvements
• Training, motivating and correcting employees to ensure that standards are met and preparing reports to track the progress
• Formulating strategies to increase productivity
• Testing and sampling products (Raw, Semi Finished and Finished Products), ensuring they meet set standards and specifications
• Conforming all products are properly labeled before output
• Investigating customers' complaints and ensuring safety procedures and processes
• Establishing strategies to improve efficiency and profitability in the organizations and monitoring all operations that affect quality and keeping all record related to quality and food safety, statistical reviews and relevant documents
• Communicating with external vendors and quality officers during onsite inspections

Desired Candidate Profile

• BSc. or MSc. or B. Tech (Chemistry/ DT / FT/ Micro /BT)
• Experience in Food Safety Process, audits, corrective actions
• Good at reporting corrective actions taken at management review meetings
• Knowledge in creating a flow diagram for each product and process covered by Food Safety Management System
• Experience in reviewing all rejections by food inspector/quality officers and in submissions of reports
• Willingness to work 6 days as one rotational off either on Monday or Sunday
• Lead Auditor Training Certificate or work experience as FSTL or Food Safety Team Member

Work with customers or their representatives

- Possess a professional, knowledgeable, positive and energetic attitude § Uses strong consultative sales skills and interpersonal skills (both oral and written)

- Attention to detail, strong follow-up skills and motivation

- Assist manager in marketing campaigns

- Maintain accurate and organized files

- Work with Outside Sales Staff and Counter Sales Staff to assist in following up with customers

- Develop long-term relationships with industry customers (i.e. designers)

- Maintain the Showroom as a professional place of business

- Follow company policies and procedures and other duties as assigned