Team Leadership: Lead, coach, and motivate a team of sales representatives to achieve individual and team targets. Conduct regular performance evaluations, provide feedback, and implement strategies for improvement. Foster a culture of collaboration, accountability, and continuous learning within the sales team.
Sales Strategy: Develop and implement effective sales strategies to drive revenue growth and expand market share. Analyze market trends, customer behavior, and competitor activities to identify opportunities for sales optimization. Collaborate with cross-functional teams, including marketing and product development, to align sales efforts with overall business objectives.
Performance Management: Set clear sales targets and KPIs for the team, and monitor performance against these metrics. Utilize data-driven insights to track progress, identify areas for improvement, and make informed decisions. Develop and maintain sales reports and dashboards to provide visibility into sales performance.
Customer Relationship Management: Cultivate and maintain strong relationships with key customers and strategic partners. Address customer inquiries, concerns, and escalations in a timely and professional manner. Collaborate with the customer support team to ensure a seamless and positive customer experience.
Training and Development: Provide ongoing training and professional development opportunities for sales team members. Keep abreast of industry trends, best practices, and emerging technologies relevant to eCommerce sales. Foster a culture of continuous improvement by encouraging knowledge sharing and skill development..
Responsibilities
To succeed in this role – you should have the following
roven experience in sales leadership roles within the eCommerce or retail industry. (Min 2-4 Years of Experience in Team Management - Especially in FMCG/D, Retail, eCommerce, or any .com Domain)
Strong understanding of eCommerce sales processes, platforms, and technologies. Excellent communication, negotiation, and interpersonal skills.
Ability to thrive in a fast-paced, results-driven environment.
Proficiency in CRM, Data Analysis, Excel and Microsoft and Google Office Suite Leadership qualities such as integrity, decisiveness, and resilience.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Job Description:-
At Daimler Truck, we change today’s transportation and create real impact together. We take responsibility around the globe and work together on making our vision become reality: Leading Sustainable Transportation. As one global team, we drive our progress and success together – everyone at Daimler Truck makes the difference.
Together, we want to achieve a sustainable transportation, reduce our carbon footprint, increase safety on and off the track, develop smarter technology and attractive financial solutions.
All essential, to fulfill our purpose - for all who keep the world moving. Become part of our global team: You make the difference - YOUMAKEUS We are looking for Senior Data Science Engineer for our Advanced Analytics and Big Data Team.
The scope is to generate insights for data driven decision making in the After Sales/After Market domain.
Job Summary:
We are looking for a Data Scientist to lead data-driven solutions across our business, from exploratory analysis, incremental hypothesis validation, model development, deployment and monitoring. This role involves transforming complex business questions into actionable value generation insights and predictive models.
Key Responsibilities:
• Problem Definition: Partner with stakeholders to translate business goals into clear, data-focused questions and define project scope and success metrics.
• Data Collection and Preparation: Gather, clean, and preprocess data from diverse sources, ensuring quality and consistency, and engineer features to enhance model performance.
• Exploratory Data Analysis (EDA): Use statistical methods and visualization to uncover trends and validate assumptions, summarizing key insights for business alignment.
• Model Building and Evaluation: Select, train, and refine models suited to the business problem, evaluating performance with relevant metrics and documenting model assumptions.
• Deployment and Monitoring: Work with engineering teams to deploy models, establish performance monitoring, retrain as necessary, and incorporate feedback to improve accuracy.
Requirements:
• Bachelor’s/Master’s in Data Science, Statistics, Computer Science, or related field.
• Experience in end to end model development to deployment and performance monitoring.
• Strong communication skills to convey insights to technical and non-technical audiences.
Skills Needed:
Strong knowledge of Applied AI ML & Deep Learning Data Science techniques, Hardcore in ANN /Deep Learning /Machine Learning/NLP
Deep knowledge about machine learning algorithms such as tree-based methods, clustering, regression and classification, dimension reduction techniques, linear regression, Logistic regression, k-means, time series forecasting, Hypothesis testing (ANOVA, t-test, etc.), random forest, SVMs, Naive Bayes, gradient boosting, kNN, Deep learning algorithms like CNN, ANN and Reinforcement learning, Anomaly detection.
In-depth understanding of Statistical concepts e.g. Probability distributions, statistical tests, correlation analysis, descriptive statistics, kernels, ROC, F1-Score etc.
Advanced coding experience in at least one programming language (Python, Pyspark) & Strong experience in object-oriented concepts.
Good to have advanced experience in one or more of the following: Spark, Databricks, Azure technical stack
Good to have experience in model deployment to cloud/on-prem.
Good Communication & presentation skills.
Responsibilities
Job Description:-
6 - 9 Years
At Daimler Truck, we change today’s transportation and create real impact together. We take responsibility around the globe and work together on making our vision become reality: Leading Sustainable Transportation. As one global team, we drive our progress and success together – everyone at Daimler Truck makes the difference.
Together, we want to achieve a sustainable transportation, reduce our carbon footprint, increase safety on and off the track, develop smarter technology and attractive financial solutions.
All essential, to fulfill our purpose - for all who keep the world moving. Become part of our global team: You make the difference - YOUMAKEUS We are looking for Senior Data Science Engineer for our Advanced Analytics and Big Data Team.
The scope is to generate insights for data driven decision making in the After Sales/After Market domain.
Job Summary:
We are looking for a Data Scientist to lead data-driven solutions across our business, from exploratory analysis, incremental hypothesis validation, model development, deployment and monitoring. This role involves transforming complex business questions into actionable value generation insights and predictive models.
Key Responsibilities:
• Problem Definition: Partner with stakeholders to translate business goals into clear, data-focused questions and define project scope and success metrics.
• Data Collection and Preparation: Gather, clean, and preprocess data from diverse sources, ensuring quality and consistency, and engineer features to enhance model performance.
• Exploratory Data Analysis (EDA): Use statistical methods and visualization to uncover trends and validate assumptions, summarizing key insights for business alignment.
• Model Building and Evaluation: Select, train, and refine models suited to the business problem, evaluating performance with relevant metrics and documenting model assumptions.
• Deployment and Monitoring: Work with engineering teams to deploy models, establish performance monitoring, retrain as necessary, and incorporate feedback to improve accuracy.
Requirements:
• Bachelor’s/Master’s in Data Science, Statistics, Computer Science, or related field.
• Experience in end to end model development to deployment and performance monitoring.
• Strong communication skills to convey insights to technical and non-technical audiences.
Skills Needed:
Strong knowledge of Applied AI ML & Deep Learning Data Science techniques, Hardcore in ANN /Deep Learning /Machine Learning/NLP
Deep knowledge about machine learning algorithms such as tree-based methods, clustering, regression and classification, dimension reduction techniques, linear regression, Logistic regression, k-means, time series forecasting, Hypothesis testing (ANOVA, t-test, etc.), random forest, SVMs, Naive Bayes, gradient boosting, kNN, Deep learning algorithms like CNN, ANN and Reinforcement learning, Anomaly detection.
In-depth understanding of Statistical concepts e.g. Probability distributions, statistical tests, correlation analysis, descriptive statistics, kernels, ROC, F1-Score etc.
Advanced coding experience in at least one programming language (Python, Pyspark) & Strong experience in object-oriented concepts.
Good to have advanced experience in one or more of the following: Spark, Databricks, Azure technical stack
Good to have experience in model deployment to cloud/on-prem.
Good Communication & presentation skills.
Salary : Rs. 0.0 - Rs. 21,00,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Skills Required: Microsoft Power BI
Experience Range in Required Skills: 4-6 Years
Job Description: Power BI Lead Developer.
Essential Skills: Power BI Lead Developer.
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Skill Required: Digital : PySpark~Azure Data Factory
Experience Range in Required Skills: 6-8 yrs
Job Description: A minimum of 5 years experience with large SQL data marts. Expert relational database experience, Candidate should demonstrate ability to navigate through massive volumes of data to deliver effective and efficient data extraction, design, load, and reporting solutions to business partnersExperience in troubleshooting and Supporting large databases and testing activities; Identifying reporting, and managing database security issues, user access/management; Designing database backup, archiving and storage, performance tunning, ETL importing large volume of data extracted from multiple systems, capacity planning
Essential Skills: Strong knowledge of Extraction Transformation and Loading (ETL) processes using frameworks like Azure Data Factory or Synapse or Databricks; establishing the cloud connectivity between different system like ADLS ,ADF, Synapse, Databricks etc.
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Skills Required: Microsoft Dynamics 365 CRM Functional, Microsoft Dynamics 365 CRM Technical
Experience Range in Required Skills: 4 to 6 Years.
Job Description: CRM Dynamics functional and technical
Essential Skills: CRM Dynamics functional and technical
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role :Microsoft Dynamics 365 CRM Functional, Microsoft Dynamics 365 CRM Technical
