5.0 - 7.0 years

5 - 7 Lacs

Bengaluru, Karnataka, India

On-site

Foundit logo

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.

Posted 1 day ago

Apply

Data Scientist with Gen AI Saieesh Data Systems

6 - 10 years

15 - 30 Lacs

Bengaluru

Hybrid

Exp - 6- 10 Years Level - Senior Consultant Skill - ML OPS with Gen AI Location - Bengaluru Event on 9th May in Bangalore location Hybrid Mode (2 days WFO in a week) Education - B.Tech/B.E/MS/MBA ML OPs Engineer Required: 6-10 years of Consulting, Data, and Analytics experience Experience in descriptive & predictive analytics, both theoretical and practical knowledge in basic ML algorithms like linear and non-linear regression, linear and non-linear classification, dimensional reduction, anomaly detection, statistical concepts and techniques like theoretical distributions, parametric and non-parametric inference 6+ years of experience implementing & executing data science projects throughout the entire lifecycle: Developing/designing and implementing solutions E2E in production. Strong knowledge of Python or R Programming experience with Node.js, SQL, Java, JavaScript OR PERL Experience in cloud-based data platforms on AWS, GCP and Azure Understanding of multi-tier application architectures Ability to develop, test and maintain programming environments and architectural standards Foundational understanding of application development lifecycle and using tools like ANT, Maven, Gradle and Version control (SVN OR GIT OR BitBucket) Experience with working in an agile development lifecycle and continuous integration processes using tools such as Jenkins Experience in doing deployments for Java, .NET , Angular , Node.js , PHP, Python applications using Jenkins/Bamboo Experience on code quality assessment tools and integration with CI tool Strong logical structuring and problem-solving skills Strong verbal, written and presentation skills Preferred Additional Experience in using Spark either with Scala or Python Experience with different database types like RDS and NoSQL Experience in cloud deployments Knowledge of working in a Linux environment Strong understanding and experience configuring, managing and supporting applications using tools such as OpsWorks, Datadog and CloudWatch on AWS Experience in Docker /Swarm / Kubernetes Experience or exposure to Test Driven Development Experience (Junit / TestNG) Experience on Behavior Driven Development Experience (Cucumber / Selenium) Expertise in any commercial data visualization tool such as Tableau, Qlik, Power BI Experience with real time data movement solutions that use security and encryption protocols while data is in transit

Posted 1 month ago

Apply

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.