statistical modeler

Prodapt Solutions

<div>Overview:

Job Overview:- 
We are seeking a skilled Python Data Modeler with 7 to 10 years of experience to join our team. The ideal candidate will be responsible for designing and implementing data models that enhance our data analytics capabilities. You will collaborate with data engineers, data scientists, and business stakeholders to ensure that our data architecture meets the needs of the organization.<div><div> 
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Responsibilities:

Key Responsibilities: -<ul><li>
Data Modeling: Design, develop, and maintain data models that support business requirements and analytics.</li><li>
Data Integration: Collaborate with data engineers to integrate data from various sources into the data warehouse.</li><li>
ETL Processes: Develop and optimize ETL (Extract, Transform, Load) processes using Python and relevant frameworks.</li><li>
Database Management: Work with SQL and NoSQL databases to ensure efficient data storage and retrieval.</li><li>
Collaboration: Work closely with cross-functional teams to understand data requirements and provide solutions.</li><li>
Documentation: Create and maintain documentation for data models, ETL processes, and data flows.</li><li>
Performance Tuning: Monitor and optimize data models and queries for performance improvements.</li><li>
Data Quality: Implement data quality checks and validation processes to ensure data integrity.</li></ul><div><div>
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Requirements:<div></div> 
Requirements:-<ul><li>
Programming Languages: Proficiency in Python, with a strong understanding of data manipulation libraries (e.g., Pandas, NumPy).</li><li>
Database Technologies: Experience with SQL databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).</li><li>
Data Modeling Tools: Familiarity with data modeling tools (e.g., Erwin, Talend) and methodologies (e.g., Kimball, Inmon).</li><li>
ETL Tools: Experience with ETL tools and frameworks (e.g., Apache Airflow, Luigi).</li><li>
Data Warehousing: Knowledge of data warehousing concepts and architectures.</li><li>
Analytical Skills: Strong analytical and problem-solving skills to derive insights from complex datasets.</li><li>
Version Control: Experience with version control systems (e.g., Git).</li></ul>
Qualifications:<ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field.</li><li>
7 to 10 years of experience in data modeling, ETL development, and data analysis.</li><li>
Strong communication skills to effectively convey technical concepts to non-technical stakeholders.</li><li>
Experience in Agile methodologies is a plus.</li></ul></div>

Python data modeller

Hillside harbour Real Estate LLC

Location: Dubai Job Type: [Full-time/Part-time/Contract] Experience Level: [Entry-level/Intermediate/Senior]<div><div> Position Overview: We are seeking a skilled Financial Modeler to develop, maintain, and enhance financial models that support our business decisions and strategic planning. The ideal candidate will possess strong analytical abilities, expertise in financial modeling, and the capability to communicate complex financial data effectively to stakeholders. Key Responsibilities: <ul> <li>Design and develop robust financial models to support budgeting, forecasting, and financial analysis.</li> <li>Analyze financial data and trends to provide actionable insights and recommendations.</li> <li>Collaborate with various departments to gather and validate data required for modeling.</li> <li>Create detailed reports and presentations to communicate findings and strategic recommendations.</li> <li>Continuously improve existing models and methodologies to enhance accuracy and efficiency.</li> <li>Monitor and analyze financial performance against benchmarks and industry standards.</li> <li>Ensure compliance with financial regulations and company policies.</li> </ul> Qualifications: <ul> <li>Bachelor s degree in Finance, Accounting, Economics, or a related field (Master s degree or professional certification such as CFA or CPA is a plus).</li> <li>Proven experience (X+ years) in financial modeling, financial analysis, or related roles.</li> <li>Advanced proficiency in Microsoft Excel and financial modeling software; experience with data visualization tools (e.g., Tableau, Power BI) is advantageous.</li> <li>Strong analytical and problem-solving skills with attention to detail.</li> <li>Excellent communication skills with the ability to present complex information clearly and concisely.</li> <li>Ability to work independently and collaboratively in a fast-paced environment.</li> </ul> Preferred Skills: <ul> <li>Experience in [specific industry or sector] is a plus.</li> <li>Familiarity with financial planning and analysis (FP&amp;A) processes.</li> <li>Knowledge of programming languages such as Python or R for advanced modeling techniques.</li> </ul> What We Offer: <ul> <li>Competitive salary and benefits package.</li> <li>Opportunities for professional growth and development.</li> <li>A collaborative and inclusive work environment.</li></ul> </div>
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Financial Modeler

Bristol Myers Squibb

<div>Working with Us 
Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. 
 
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us . 
 
Roles &amp; Responsibilities:<ul><li>
Develop and implement advanced statistical models, decision support models and optimization techniques to solve complex business problems</li><li>
Collaborate with cross-functional teams to gather/analyze data, define problem statements and identify KPIs for decision-making</li><li>
Apply statistical analysis, regression modeling, clustering, segmentation, etc. to uncover trends and drivers in the data</li><li>
Conduct portfolio analyses to optimize resource allocation, product positioning and investment strategies</li><li>
Design &amp; implement test designs to evaluate effectiveness of marketing campaigns, pricing strategies or other business initiatives</li><li>
Develop measurement frameworks and KPI dashboards to monitor business performance and provide actionable insights to stakeholders</li><li>
Collaborate with international and country-based stakeholders to understand business objectives and translate them into projects and actionable recommendations</li><li>
Stay up-to-date with industry trends, emerging methodologies and best practices related to statistical analysis, optimization and decision support</li><li>
Provide training, guidance, and mentorship to junior analysts and team members when required</li></ul>
Skills and competencies:
<ul><li>Strong analytical thinking and problem-solving skills with a deep understanding of statistical analysis, optimization techniques and decision support models</li><li>
Strong attention to detail and ability to work with large datasets to ensure accuracy and reliability of analysis</li><li>
Strong understanding of experimental design, hypothesis testing and A/B testing methodologies</li><li>
Strong business acumen and communication skills; ability to translate analytical findings into actionable insights and recommendations and communicate information to non-technical stakeholders in a concise manner</li><li>
Ability to design dashboards and other data visualizations to effectively communicate key findings and trends</li><li>
Ability to work collaboratively in cross-functional teams and manage multiple projects simultaneously</li><li>
Strong project management skills and the ability to work independently or as part of a team</li><li>
Strong fit with BMS Behaviours (Passion, Innovation, Urgency, Accountability, Inclusion, Integrity) is required</li></ul>
Experience:<ul><li>
Bachelor's or master's degree in a relevant field such as Statistics, Mathematics, Economics, Operations Research or a related discipline.</li><li>
Proven experience (typically 3 to 5 years) in a decision analysis, statistical modeling, or optimization role, preferably within the biopharma or pharmaceutical industry.</li><li>
Experience working with large datasets, statistical software packages (e.g., R, SAS, Python), and data visualization tools (e.g. Tableau), and application development environments (e.g. Domino)</li><li>
Experience with descriptive/explanatory models, regression modeling, clustering, segmentation and portfolio analysis</li><li>
Familiarity with the biopharma industry, including market dynamics, regulatory requirements, and healthcare data sources - particularly in European, Asian, and Latin/South American Countries</li><li>
Certification or training in decision analysis, statistical modeling, or related</li><li>
Full business English proficiency required; proficiency in other major international languages (German, French, etc) is beneficial</li></ul>
If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.
 
 
Uniquely Interesting Work, Life-changing Careers 
With a single vision as inspiring as Transforming patients' lives through science&trade; , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. 
 
On-site Protocol 
 
BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:
 
 
Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.
 
 
BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement.
 
 
BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.
 
 
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. 
 
If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/
 
 
Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.</div>

Decision Analyst II

Brace Infotech Private Ltd

<div>
 
 Looking for Immediate Joiners
 
 
 
 
 
 Seeking a highly skilled Data Scientist with a strong background in Mechanical Engineering to analyze telemetry data and develop statistical models for identifying and predicting anomalies within the mechanical and electrical infrastructure of data centers.
 
 
 &middot; Design, deploy, and maintain statistical and machine learning models to analyze real-time telemetry data from critical mechanical systems, including HVAC (AHU/MAU/CRAC/CRAH/RTU), cooling units, chillers, water chemistry, server floor cooling infrastructure, process cooling (MCU/PCU)/CUBs, and wastewater treatment.
 
 
 &middot; Leverage expertise in mechanical systems to understand equipment behavior, identify anomalies, and contribute to root cause analysis, including understanding key steps in mechanical maintenance.
 
 
 &middot; Develop equations and logic based on control flow, temperature, pressure, and flux for deployed systems, and apply statistical process control to identify mechanical failures within those systems.
 
 
 &middot; Monitor and interpret model outputs to proactively identify and investigate early indicators of equipment degradation, performance deviations, and potential failures.
 
 
 &middot; Collaborate closely with data center operations and engineering teams to validate detected anomalies, conduct comprehensive root cause analysis, and recommend effective corrective actions.
 
 
 &middot; Develop and manage insightful dashboards and reports to visualize key metrics and provide actionable insights to stakeholders.
 
 
 &middot; Continuously refine and enhance anomaly detection algorithms based on new data, feedback from field operations, and evolving industry best practices.
 
 
 Document all findings, analysis methodologies, and resolution steps to contribute to a comprehensive knowledge base for the program.
 
 
 &middot; Bachelor's or Master's Degree in Mechanical Engineering, Systems Engineering, or a related field, with demonstrated experience in Data Science, Computer Science Engineering, or equivalent.
 
 
 &middot; Proven experience in data analysis, statistical modeling, and machine learning.
 
 
 &middot; Strong proficiency in data analysis tools and programming languages (e.g., Python, R, SQL).
 
 
 &middot; In-depth knowledge of data center mechanical infrastructure, including HVAC systems (AHU/MAU/CRAC/CRAH/RTU), cooling units, chillers, water chemistry, server floor cooling infrastructure, process cooling (MCU/PCU)/CUBs, and wastewater treatment.
 
 
 &middot; Exceptional problem-solving abilities and the capacity to work both independently and as a vital member of a cross-functional team.
 
 
 &middot; Excellent communication skills, with the ability to translate complex data findings into clear, actionable recommendations for a non-technical audience.
 
 
 &middot; Strong knowledge with fundamental concepts such as heat transfer, fluid dynamics, and thermodynamics as they apply to cooling systems, including an understanding of refrigerants and coolants.
 
 
 &middot; Critical experience with telemetry data, various sensor types, and their outputs (e.g., temperature, pressure, flow rate) for effective interpretation of raw data feeding anomaly detection models.
 
 
 &middot; Ability to utilize analytical findings to diagnose potential mechanical issues, such as pump failures, leaks, or valve malfunctions. Experience with root cause analysis is a strong plus.
 
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Data Scientist

Cotality

<div>At Cotality, we are driven by a single mission&mdash;to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society.
Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry.
Job Description:
<ul><li>Diagnose model performance issues; research, implement and test alternative options; prepare analyses; and deploy solutions.
</li><li>Conduct complex statistical analyses of real estate, mortgage, and insurance related data.
</li><li>Apply machine learning and data mining techniques to discover patterns from large and complex datasets.
</li><li>Make forecasts and predictions based on modeling and analysis of multiple economic and human factors.
</li><li>Prepare and maintain programs and documentation for models.
</li><li>Perform modeling and analysis using various data mining, machine learning, statistical, and mathematical techniques.
</li><li>Drive the re-engineering of current production models and their prototypes as needed.
</li><li>Lead and manage quantitative and qualitative research projects independently.
</li><li>Assess and communicate research results to internal stakeholders.
</li><li>Understand business requirements and conceptualize analytic solutions to those business problems.
</li><li>Regularly engage cross functional teams to research, define, and implement analytic solutions within a broad business function.
</li><li>Troubleshoot and drive solutions on a wide variety of highly complex problems.
</li><li>Research and test GenAI best practices and solutions for emerging issues, as appropriate.
</li></ul>Job Qualifications:
<ul><li>Bachelor/Master&rsquo;s degree in Economics, Mathematics, Computer Science, Data Science, Machine Learning, Statistics, Physics or related field.
</li><li>At least 5 years&rsquo; industry or academic experience in AI, machine learning techniques, data mining, statistical modeling and/or pattern recognition model building for clients on real world problems
</li><li>Proficiency in network analysis and graph theory is a plus
</li><li>Experience building and maintaining models in a cloud environment
</li><li>Proficiency in at least one of the following programming languages: Python, Java, R, C++, Scala
</li><li>Must have big data expertise, such as Spark, Hadoop, Hive, etc.
</li><li>Experience integrating GenAI into production solutions a plus.
</li><li>Team player, willing to assist and jump into a project at any point as needed
</li><li>Detail oriented; strong presentation skills, experienced with client interaction. Ability to communicate effectively and in a professional manner to key stakeholders and explain business needs to technical personnel. Solid interpersonal skills. Must be able to communicate clearly to partners and colleagues verbally and in written form.
</li><li>Able to manage multiple, complex projects simultaneously.
</li><li>Able to effectively present analytic insights and modeling techniques internally and externally
</li></ul><div>Thrive with Cotality
</div><div>At Cotality, we&rsquo;re committed to supporting your whole self- at work and beyond. Our India benefits package is thoughtfully designed to promote your well-being, financial security, and professional growth. From comprehensive health coverage to flexible leave, retirement planning, and mental health support, we help you thrive every step of the way.
</div><div>Highlights include:
</div><div><ul><li>Health &amp; Wellness: Company-paid Mediclaim Insurance, routine dental and vision care (including LASIK and cataract), annual health check-ups, and maternity benefits.
</li></ul></div><div><ul><li>Mental Health: Access to 12 free sessions with top therapists and coaches for you and your dependents via Lyra.
</li></ul></div><div><ul><li>Leave &amp; Time Off: 11 paid holidays (state-specific), 10 well-being half days, paid sick, maternity, paternity, caregiving, bereavement, and volunteer time off.
</li></ul></div><div><ul><li>Family Support: Coverage available for spouse, children, and parents or in-laws; includes maternity and parental leave.
</li></ul></div>Financial Benefits:
<ul><li>&#8377;10,400 annual well-being account
</li><li>&#8377;15,000 medical reimbursement allowance
</li><li>&#8377;19,200 conveyance allowance
</li><li>House Rent Allowance with tax benefits
</li></ul>Insurance &amp; Protection:
<ul><li>Group Term Life and Personal Accident Insurance at 5x annual salary (company-paid)
</li></ul>Retirement &amp; Savings:
<ul><li>Provident Fund with employer matching
</li><li>Optional National Pension Scheme (NPS) contributions (pre-tax)
</li></ul>Extras: Performance bonuses, recognition rewards, and exclusive employee discounts.
Cotality's Diversity Commitment:
Cotality is fully committed to employing a diverse workforce and creating an inclusive work environment that embraces everyone&rsquo;s unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package. We are better together when we support and recognize our differences. 
Equal Opportunity Employer Statement:
Cotality is an Equal Opportunity employer committed to attracting and retaining the best-qualified people available, without regard to race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, record of offences, age, marital status, family status or disability. Cotality maintains a Drug-Free Workplace. 
Please apply on our website for consideration. 
By providing your telephone number, you agree to receive automated (SMS) text messages at that number from Cotality regarding all matters related to your application and, if you are hired, your employment and company business. Message &amp; data rates may apply. You can opt out at any time by responding STOP or UNSUBSCRIBING and will automatically be opted out company-wide.</div>

Senior Professional Data Science

BlizzUp Technologies

<div>
 *Apply for Data related open positions at Punjab IT Board (Lahore) using below links*
 
 
 
 *Data Architect*
 
 https://jobs.punjab.gov.pk//new_recruit/job_detail/data-architect
 
 
 *Data Modeler*
 
 https://jobs.punjab.gov.pk//new_recruit/job_detail/data-modeler-2
 
 
 *Senior Data Engineer*
 
 https://jobs.punjab.gov.pk//new_recruit/job_detail/senior-data-engineer-10
 
 
 *Data Scientist*
 
 https://jobs.punjab.gov.pk//new_recruit/job_detail/data-scientist-14
 
 
 *DevOps Engineer*
 
 https://jobs.punjab.gov.pk//new_recruit/job_detail/dev-ops-engineer-18
 
 
 
 *Deadline: 02-Nov-2025*
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Data Warehouse Architect

Fahim Nanji & DeSouza (FND)

BIM Modeler (Electrical)FND (Pvt.) Ltd. Consulting Engineers. is seeking a motivated BIM Modeler (Electrical) to join our growing team. This role is ideal for BIM professionals with strong multi-disciplinary coordination expertise, who can independently manage complex models, ensure compliance with BIM standards, and drive seamless digital project delivery.Key Responsibilities:<ul><li>Develop, modify, and maintain 3D BIM models for multi-disciplinary projects.</li><li>Coordinate BIM data and workflows across structural, MEP, and architectural teams.</li><li>Manage and review clash detection, model accuracy, and design consistency.</li><li>Support project teams with drawing production, BOQs, and schedules.</li><li>Ensure project deliverables comply with BIM standards, guidelines, and client requirements.</li><li>Use Autodesk Construction Cloud (ACC) and related tools for model management and collaboration.</li></ul>Requirements:<ul><li>Education: Bachelor&rsquo;s (B.Sc/B.Tech) in Electrical, or a related field</li><li>Experience: Minimum 4+ years of proven experience in BIM modelling and coordination.</li><li>Proficiency in Revit, Navisworks, and Autodesk Construction Cloud (ACC).</li><li>Strong knowledge of multi-disciplinary coordination processes.</li></ul>Only Karachi-based candidates who meet the above requirements will be considered.Please share your CV at hr@fnd.com.pk, mentioning in the subject line is necessary:BIM-Modeler- [Your Name]Job Type: Full-timeWork Location: In person

BIM Modeler (Electrical)

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