Customer Support executive

We are looking for someone with a good experience in SAP BWHana and SAC with the following skill set.

• Proven experience in leading complex implementations from start to finish.
• Strong technical expertise in troubleshooting and financial consolidation.
• Excellent documentation skills, with the ability to write clear, concise technical and business documents.
• Strong interpersonal and communication skills, with the ability to influence and collaborate with diverse stakeholders.
• Ability to mentor and coach others, fostering a culture of continuous improvement.
• Demonstrated ability to think strategically, plan effectively, and make decisions that align with client and business objectives.
• Experience in integration with other ERPs ( SAP S/4 Hana).
• Understanding of report building, setting up dimensions and hierarchy, ETL and UAT.
• Managing Financial reporting and compliance.
• Experience in Financial consolidation and group reporting.
• Experience in EPM platform/tools.

We are looking for a Full Stack Developer who is proficient in NodeJS, React, and Go to join our team. The ideal candidate will be responsible for developing and maintaining web applications using modern technologies.

Responsibilities:

Design and implement complex web applications using NodeJS, React, and Go

Collaborate with the development team to ensure the project is delivered on time and to the highest standards

Identify and resolve technical issues and bugs

Develop and maintain server-side and client-side code

Ensure web applications are scalable, efficient, and secure

Write and maintain unit and integration tests

Work with other teams to integrate third-party systems and APIs

Keep up-to-date with the latest technologies and best practices in web development

Participate in code reviews and provide constructive feedback to other team members

Take ownership of the project and ensure its success

Requirements:

Strong experience in web application development using NodeJS, React, and Go

Familiarity with databases such as MongoDB, PostgreSQL, and MySQL

Understanding of RESTful APIs and Microservices Architecture

Experience with DevOps, Continuous Integration/Continuous Deployment, and Cloud Technologies such as AWS, Azure, or GCP

Understanding of Agile/Scrum methodologies

Excellent communication and problem-solving skills

Strong attention to detail

Ability to work independently and as part of a team

If you are a motivated, enthusiastic, and talented Full Stack Developer with a passion for creating high-quality web applications, we encourage you to apply.

Job Summary

As a Data Science Lead, you will manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients. You will lead a team of data scientists and collaborate across cross-functional groups, while contributing to new business development, supporting strategic business decisions and maintaining & strengthening client base

1. Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution
2. Work with teams of smart collaborators. Be responsible for their appraisals and career development.
3. Participate and lead executive presentations with client leadership stakeholders.
4. Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
5. See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.

​​​​​​Role & Responsibilities

1. Serve as expert in Data Science, build framework to develop Production level DS/AI models.
2. Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
3. Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
4. Lead and manage the onsite-offshore relation, at the same time adding value to the client.
5. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
6. Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
7. Present results, insights, and recommendations to senior management with an emphasis on the business impact.
8. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
9. Lead or contribute to org level initiatives to build the Tredence of tomorrow.

Qualification & Experience

1. Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.
2. 6-10+ years of experience in data science, building hands-on ML models
3. Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
4. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
5. Knowledge of programming languages SQL, Python/ R, Spark.
6. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
7. Experience with cloud computing services (AWS, GCP or Azure)
8. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
9. Knowledge in Mathematical programming – Linear Programming, Mixed Integer Programming etc , Stochastic Modelling – Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
10. Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)
11. Knowledge in GPU code optimization, Spark MLlib Optimization.
12. Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
13. Experience with ML CI/CD pipelines.

Job Brief:

You'll be joining Mindtickle’s InfoSec and Compliance team, which is responsible for various functions related to Security, Privacy, and Compliance around Mindtickle's rapidly growing cloud platform. You'll play a crucial role in all our compliance & information security initiatives, including but not limited to those arising from regulations (e.g., GDPR, CCPA, UK DPA 2018, FINRA), audit requirements (e.g., SOC 2, HIPAA), and customer/ prospects requests (typically large enterprises).

As Data Privacy & Compliance Manager, you will champion the highest data privacy standards and drive forward compliance across all of Mindtickle. Crucial to this role will be an expert knowledge of international data protection laws and a proactive and pragmatic approach towards data privacy and compliance. 

Key Responsibilities:

• Act as the single point of contact for all privacy-related topics, including communication with customers and prospects, including RFPs, emails, or privacy calls

• Closely working with the internal legal team and external legal counsel to support the review of third parties/customer data processing addendums (DPAs), standard contractual clauses, contracts, and other data protection agreements

• Maintain the data protection terms agreed with customers in a contract management software

• Perform due diligence of new third parties and periodic risk review of existing third parties, including processes around sub-processors

• Support in other industry compliance projects such as ADA, Section 508, WCAG, FINRA, 21 CFR Part 11, etc.

• Lead the assessment of new legislation or other regulatory changes (GDPR, CCPA, UK DPA 2018, LGPD, PIPEDA, Swiss FDAP) and make recommendations as necessary to ensure that risks are mitigated as well as ongoing compliance

• To work flexibly and collaboratively across all teams in the organization while driving privacy & compliance-related projects, including sales, customer success, product, and engineering

• Own internal and external privacy audit projects, including planning, scoping, need analysis, ongoing project management, and communications with all relevant stakeholders

• Onboard privacy solutions, design, build and deploy data privacy programs on the solutions to ensure compliance with privacy requirements

• Maintain Records of Processing Activities (ROPA) and ensure Privacy By Design for new features/changes in the platform

• Undertake all other reasonable and related tasks associated with this role
  
  

Desired Qualification:

• 5-10 years of experience in data privacy and compliance, with exposure to cloud software platforms

• Extensive experience in data protection and knowledge of relevant legislation, including GDPR, Standard Contractual Clauses, Transfer Impact Assessment, CCPA, UK DPA 2018, LGPD, PIPEDA, Swiss FDAP, etc.

• Certifications such as CIPP/E, CIPP/US, CIPM, CIPT, etc., are preferred

• Specialist knowledge in a relevant area, e.g., data security and individual rights requests

• Excellent communication, interpersonal, project management, and issue resolution skills

• Excellent analytical skills, organizational skills, ingenuity, and the ability to work as part of a team

• Experience in managing privacy audits and risk management processes

• Demonstrated ability to learn quickly, take the initiative, and drive complex projects