4 Collaborative Problemsolving Jobs

We are seeking a senior .NET developer to take on the responsibility of constructing .NET applications. Your main duty will involve creating and designing these applications while also collaborating with other team members focusing on various infrastructure layers. A strong dedication to team-oriented problem-solving, advanced design, and top-notch product delivery is a must. In this role as a Senior .NET Developer, you will play a key part in every stage of the software development process, from inception to implementation. This is a full-time position with benefits including health insurance. The work schedule is during the day with additional perks such as performance bonuses, shift allowances, and yearly bonuses. The work location is on-site. If you are a skilled .NET developer looking to contribute your expertise to a dynamic team and be involved in the complete software development life cycle, this opportunity is for you.,

About the Company: You are applying for a Lead Corporate Strategy role within the insurance business of a well-known, publicly listed conglomerate based in Mumbai. About the Role: As the Lead Corporate Strategy, your main responsibilities will include supporting strategic planning and execution, conducting in-depth analysis, and facilitating the overall Group strategy. Responsibilities: - Conduct thorough analysis and strategic assessments across the Insurance Business to derive insights that directly contribute to the development and evolution of Group Corporate Strategy. - Stay updated on emerging global trends, industry dynamics, and regulatory developments to anticipate changes in the external environment and evaluate potential implications. - Participate in collaborative problem-solving and innovation sessions, distilling insights into practical outcomes and highlighting their strategic relevance. - Develop high-quality reports, presentations, and briefing materials to effectively communicate key findings and recommendations to senior leadership. - Identify and evaluate new growth opportunities, such as market expansion, strategic collaborations, and potential investments or acquisitions. - Support the implementation of enterprise-wide strategic initiatives and ensure alignment and execution across all business units. - Provide advisory support to affiliated business units in strategic planning and the development of annual business objectives. - Define and monitor performance indicators to evaluate the success and impact of strategic and operational plans. Qualifications & Experience: - MBA with a minimum of 6 years of experience, preferably with a background in consulting. - Proven track record in strategic corporate planning, business transformation, or consulting roles, particularly within the Insurance and Financial Services industry. - Strong analytical and problem-solving skills, capable of translating complex data into strategic recommendations. - Demonstrated success in supporting or leading top-line growth, cost management, and portfolio optimization initiatives at a group or enterprise level. CTC Budget: INR 75.00 LPA inclusive of variable. Interested candidates are encouraged to share their updated resumes in strict confidence with Ms. Parinita V at hr11@hectorandstreak.com.,

We are seeking a talented and experienced Senior Data Scientist specializing in handling massive tabular data on Large Language Models (LLMs) to join our clients team Mobilewalla, a global, fast-growing consumer data and technology company headquartered in Atlanta, GA, USA. In this role, you will play a crucial role in leveraging your expertise in tabular data analysis and LLMs to extract insights, build predictive models, and drive data-driven decisions at scale, especially for our Telco Vertical product. Collaborating closely with fellow engineers, you will contribute to the evolution of our platform by developing large-scale systems that process and act on massive amounts of data both in real-time and offline. Responsibilities: Utilize Large Language Models: Harness the power of Large Language Models (LLMs) to analyse massive volumes of tabular data efficiently and effectively. Tabular Data Analysis: Apply advanced statistical techniques and machine learning algorithms to uncover patterns, trends, and anomalies in complex tabular datasets. Predictive Modelling: Develop and deploy predictive models using LLMs to forecast future trends, identify potential risks, and optimize business outcomes based on large-scale tabular data. Data Handling and Pre-processing: Lead efforts in cleaning, pre-processing, and transforming raw tabular data to ensure quality, consistency, and scalability for analysis. Collaborative Problem-Solving: Collaborate closely with cross-functional teams to understand business challenges, formulate data-driven solutions, and drive actionable insights from tabular data. Product Enhancement: Work closely with product managers to identify market trends and customer needs, translating them into actionable data science projects. Provide data-driven recommendations to improve product features, user engagement, and overall customer satisfaction. Communication and Visualization: Effectively communicate findings, insights, and recommendations to non-technical stakeholders through clear visualizations, reports, and presentations. Mentorship and Leadership: Provide guidance, mentorship, and technical leadership to junior data scientists and team members, fostering a culture of learning and innovation. Qualifications: Educational Background: Masters or Ph.D. in Data Science, Statistics, Computer Science, or a related field. Large Language Models (LLMs): Extensive experience working with Large Language Models (LLMs) such as GPT (Generative Pre-trained Transformer) for processing and analysing tabular data at scale. Programming Proficiency: Strong proficiency in programming languages such as Python or R, with expertise in libraries such as PySpark, Pandas, NumPy, scikit-learn, and TensorFlow/PyTorch for data manipulation, analysis, and modelling. Experience: Proven track record of at least 4-5 years in a data science role with a focus on Telco competitive intelligence products. Strong experience in applying machine learning algorithms and statistical modeling in the Telco domain. Technical Skills: Proficiency in programming languages such as Python or R. Hands-on experience with relevant machine learning libraries (e.g., TensorFlow, PyTorch, PySpark) and data manipulation tools. Domain Knowledge: In-depth understanding of Telecommunications industry trends, challenges, and emerging technologies. Familiarity with Telco-specific datasets and data sources. Preferred Qualification: Experience with Location Intelligence, including geospatial analytics, GIS tools, and the application of location-based data in Telco products. Collaboration: Proven ability to collaborate effectively with cross-functional teams, including product management, engineering, and business stakeholders. Communication Skills: Excellent communication skills with the ability to present complex technical findings in a clear and understandable manner. If you are a passionate & innovative problem solver with expertise in Telco products, we invite you to join the team and contribute to the success of our cutting-edge products in the telecommunications space. For Singapore location: Individuals who are Singapore Citizens, Permanent Residents, or Current Employment Pass (EP) holders only will be screened.,

We are seeking a talented and experienced Senior Data Scientist specializing in handling massive tabular data on Large Language Models (LLMs) to join our clients team Mobilewalla, a global, fast-growing consumer data and technology company headquartered in Atlanta, GA, USA. You will play a crucial role in leveraging your expertise in tabular data analysis and LLMs to extract insights, build predictive models, and drive data-driven decisions at scale, especially for our Telco Vertical product. Collaborating closely with fellow engineers, you will contribute to the evolution of our platform by developing large-scale systems that process and act on massive amounts of data both in real-time and offline. Responsibilities: Utilize Large Language Models: Harness the power of Large Language Models (LLMs) to analyze massive volumes of tabular data efficiently and effectively. Tabular Data Analysis: Apply advanced statistical techniques and machine learning algorithms to uncover patterns, trends, and anomalies in complex tabular datasets. Predictive Modelling: Develop and deploy predictive models using LLMs to forecast future trends, identify potential risks, and optimize business outcomes based on large-scale tabular data. Data Handling and Pre-processing: Lead efforts in cleaning, pre-processing, and transforming raw tabular data to ensure quality, consistency, and scalability for analysis. Collaborative Problem-Solving: Collaborate closely with cross-functional teams to understand business challenges, formulate data-driven solutions, and drive actionable insights from tabular data. Product Enhancement: - Work closely with product managers to identify market trends and customer needs, translating them into actionable data science projects. - Provide data-driven recommendations to improve product features, user engagement, and overall customer satisfaction. Communication and Visualization: Effectively communicate findings, insights, and recommendations to non-technical stakeholders through clear visualizations, reports, and presentations. Mentorship and Leadership: Provide guidance, mentorship, and technical leadership to junior data scientists and team members, fostering a culture of learning and innovation. Qualifications: Educational Background: - Masters or Ph.D. in Data Science, Statistics, Computer Science, or a related field. Large Language Models (LLMs): Extensive experience working with Large Language Models (LLMs) such as GPT (Generative Pre-trained Transformer) for processing and analyzing tabular data at scale. Programming Proficiency: Strong proficiency in programming languages such as Python or R, with expertise in libraries such as PySpark, Pandas, NumPy, scikit-learn, and TensorFlow/PyTorch for data manipulation, analysis, and modeling. Experience: - Proven track record of at least 4-5 years in a data science role with a focus on Telco competitive intelligence products. - Strong experience in applying machine learning algorithms and statistical modeling in the Telco domain. Technical Skills: - Proficiency in programming languages such as Python or R. - Hands-on experience with relevant machine learning libraries (e.g., TensorFlow, PyTorch, PySpark) and data manipulation tools. Domain Knowledge: - In-depth understanding of Telecommunications industry trends, challenges, and emerging technologies. - Familiarity with Telco-specific datasets and data sources. Preferred Qualification: - Experience with Location Intelligence, including geospatial analytics, GIS tools, and the application of location-based data in Telco products. Collaboration: - Proven ability to collaborate effectively with cross-functional teams, including product management, engineering, and business stakeholders. Communication Skills: - Excellent communication skills with the ability to present complex technical findings in a clear and understandable manner. If you are a passionate & innovative problem solver with expertise in Telco products, we invite you to join the team and contribute to the success of our cutting-edge products in the telecommunications space.,