E-commerce Manager

About The Role

We are looking for a Customer Support Executive adept at delivering exceptional customer service and facilitating seamless access to Eclat products (RemoteXs and MyLOFT) through various channels such as chat, email, and calls. The idealcandidate should possess robust communication skills, collaborate effectively within a team, and exude a positive attitude.

We are seeking an individual with a passion for assisting others, coupled with creativity, energy, and a high level of motivation. The successful candidate will be dedicated to resolving customer issues and actively contributing to programs to enhance the overall customer experience. The primary objective of this role is to address and resolve issues that impact our customers.

What Describes You Best

● Bachelor of Engineering (preferred IT - CE background)

● 0-2 Years of prior experience in Customer Support Service

Skills

● Good written and oral communication skills

● Excellent customer handling skills

● Experience with ticketing tools like Freshdesk,Zendesk

● Corporate emailing and documentationknowledge

● Knowledge of Excel, Word, and PowerPoint

● Experience in creating FAQs and building a knowledge base

What will you Own?

As a Customer Support Executive, your key responsibilities will be to promptly respond to customer queries via tickets and chat, closing tickets with proper and timely follow-ups.

Responsible for proactively contributing to the enhancement of customer satisfaction by implementing strategies and initiatives aimed at improving CSAT (Customer Satisfaction) score.

Meet SLAs for all raised tickets, create a knowledge base for recurring issues, promptly report technical issues to relevant teams, and maintain high-quality responses for each handled ticket.

Why Join Us

● Be a part of our growth story as we aim to take a leadership position in international markets.

● Opportunity to manage and lead global teams and channel partner networks.

● Join technology innovators who believe in solving world-scale challenges to drive global knowledge-sharing.

● Healthy work/life balance offering well-being initiatives, parental leave, career development assistance, required work infrastructure support.

About Data Axle:

Data Axle Inc. has been an industry leader in data, marketing solutions, sales and research for over 50 years in the USA. Data Axle now as an established strategic global centre of excellence in Pune. This centre delivers mission critical data services to its global customers powered by its proprietary cloud-based technology platform and by leveraging proprietary business & consumer databases.

Data Axle Pune is pleased to have achieved certification as a Great Place to Work!

Roles & Responsibilities:

We are looking for a Senior Data Scientist to join the Data Science Client Services team to continue our success of identifying high quality target audiences that generate profitable marketing return for our clients. We are looking for experienced data science, machine learning and MLOps practitioners to design, build and deploy impactful predictive marketing solutions that serve a wide range of verticals and clients. The right candidate will enjoy contributing to and learning from a highly talented team and working on a variety of projects.

We are looking for a Senior Data Scientist who will be responsible for:

1. Ownership of design, implementation, and deployment of machine learning algorithms in a modern Python-based cloud architecture
2. Design or enhance ML workflows for data ingestion, model design, model inference and scoring
3. Oversight on team project execution and delivery
4. Establish peer review guidelines for high quality coding to help develop junior team members’ skill set growth, cross-training, and team efficiencies
5. Visualize and publish model performance results and insights to internal and external audiences

Qualifications:

1. Masters in a relevant quantitative, applied field (Statistics, Econometrics, Computer Science, Mathematics, Engineering)
2. Minimum of 5 years of work experience in the end-to-end lifecycle of ML model development and deployment into production within a cloud infrastructure (Databricks is highly preferred)
3. Proven ability to manage the output of a small team in a fast-paced environment and to lead by example in the fulfilment of client requests
4. Exhibit deep knowledge of core mathematical principles relating to data science and machine learning (ML Theory + Best Practices, Feature Engineering and Selection, Supervised and Unsupervised ML, A/B Testing, etc.)
5. Proficiency in Python and SQL required; PySpark/Spark experience a plus
6. Ability to conduct a productive peer review and proper code structure in Github
7. Proven experience developing, testing, and deploying various ML algorithms (neural networks, XGBoost, Bayes, and the like)
8. Working knowledge of modern CI/CD methods This position description is intended to describe the duties most frequently performed by an individual in this position.

It is not intended to be a complete list of assigned duties but to describe a position level.

Data Scientist is responsible to discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver better products. Your primary focus will be in applying Machine Learning and Generative AI techniques for data mining and statistical analysis, Text analytics using NLP/LLM and building high quality prediction systems integrated with our products. The ideal candidate should have a prior background in Generative AI, NLP (Natural Language Processing), and Computer Vision techniques. Additionally, experience in working with current state of the art Large Language Models (LLMs), and Computer Vision algorithms.

Job Responsibilities:

»    Building models using best in AI/ML technology.

»    Leveraging your expertise in Generative AI, Computer Vision, Python, Machine Learning, and Data Science to develop cutting-edge solutions for our products.

»    Integrating NLP techniques, and utilizing LLM's in our products.

»    Training/fine tuning models with new/modified training dataset.

»    Selecting features, building and optimizing classifiers using machine learning techniques.

»    Conducting data analysis, curation, preprocessing, modelling, and post-processing to drive data-driven decision-making.

»    Enhancing data collection procedures to include information that is relevant for building analytic systems

»    Working understanding of cloud platforms (AWS).

»    Collaborating with cross-functional teams to design and implement advanced AI models and algorithms.

»    Involving in R&D activities to explore the latest advancements in AI technologies, frameworks, and tools.

»    Documenting project requirements, methodologies, and outcomes for stakeholders.

Technical skills

Mandatory

»    Minimum of 5 years  of experience as Machine Learning Researcher or Data Scientist.

»    Master's degree or Ph.D. (preferable) in Computer Science, Data Science, or a related field.

»    Should have knowledge and experience in working with Deep Learning projects using CNN, Transformers, Encoder and decoder architectures.

»    Working experience with LLM's (Large Language Models) and their applications (For e.g., tuning embedding models, data curation, prompt engineering, LoRA, etc.).

»    Familiarity with LLM Agents and related frameworks.

»    Good programming skills in Python and experience with relevant libraries and frameworks (e.g., PyTorch, and TensorFlow).

»    Good applied statistics skills, such as distributions, statistical testing, regression, etc.

»    Excellent understanding of machine learning and computer vision based techniques and algorithms.

»    Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies.

»    Ability to work independently, manage multiple projects simultaneously, and collaborate effectively with diverse stakeholders.

Nice to have

»    Exposure to financial research domain

»    Experience with JIRA, Confluence

»    Understanding of scrum and Agile methodologies

»    Basic understanding of NoSQL databases, such as MongoDB, Cassandra

Experience with data visualization tools, such as Grafana, GGplot, etc.

Responsibilities:

• Contacting potential clients to establish rapport and arrange meetings.
• Planning and overseeing new marketing initiatives.
• Researching organizations and individuals to find new opportunities.
• Increasing the value of current customers while attracting new ones.
• Finding and developing new markets and improving sales.
• Attending conferences, meetings, and industry events.
• Developing quotes and proposals for clients.
• Developing goals for the development team and business growth and ensuring they are met.
• Training personnel and helping team members develop their skills.

Business Development Manager Requirements:

• Bachelor’s degree in business, marketing or related field.
• Experience in sales, marketing or related field.
• Strong communication skills and IT fluency.
• Ability to manage complex projects and multi-task.
• Excellent organizational skills.
• Ability to flourish with minimal guidance, be proactive, and handle uncertainty.
• Proficient in Word, Excel, Outlook, and PowerPoint.
• Comfortable using a computer for various tasks.

We are looking for an amazing Account Executive to join our joyful Bengaluru team to skyrocket our projects in 2022 and beyond! You will play a key role in our India expansion by qualifying, supporting and managing inbound leads to a close and working effectively with our outreach strategy.

You will report to Karan, the Head of India, who opened the local entity in 2020 and work closely with our Sales team. 

Location: Bengaluru (Hybrid “Work From Home” policy with 3 days at the office per week)

What you will do:

• Achieve the company’s sales goals for the Indian market

• Establish a deep understanding of AppTweak’s business operations, including App Store Optimization, competitive landscape, and internal tools & processes.
• Conduct product demos to leads and follow-up until they convert into paying customers. You will own the full sales cycle from lead to close.
• Assess leads requirements, solve their problems and anticipate future needs to increase revenue.
• Achieve quarterly and annual revenue regional targets.
  
  

• Reinforce the AppTweak’s presence and reputation in India 

• Represent and advocate AppTweak’s brand during major mobile marketing conferences throughout the year in various locations such as New Delhi, Mumbai, Hyderabad, etc (participate in 5 to 10 events per year)

• Connect with C-level and senior executives in the mobile and gaming industry to grow AppTweak’s reputation

• Organize and host ASO-related networking events to increase brand awareness and reputation
  
  

• Actively participate in cross-department cooperation. 

• Lead and contribute to team projects to develop and refine our sales processes.
• Work with Marketing to ensure consistency in outreach/emailing campaigns and inbound initiatives. 
• Collaborate with various teams, including Product and Customer Success, to better align client-facing efforts by taking the initiative to identify issues and find solutions. 

What we expect from you:

Must-have:

• Bachelor or Master’s degree in Business, Communication, Marketing, Sales or any relevant field
• Fluent in English 
• 4+ years experience in Sales or Business Development with a proven track record of closing deals
• Former experience in a SaaS company and the mobile marketing industry
• Strong entrepreneurial mindset; you're hands-on and autonomous. You find creative solutions to problems in a fast-moving environment.
• Team player and over-communicator: track record of proactively sharing and asking for feedback and looking to add to the culture and skills of a growing team
• Proactive, results-driven, and highly organized, with strong attention to detail
• Brilliant communication skills (written & verbal) both with customers and within an organization
• Ability to interact with a broad set of clients and the ability to present online or in-person
• Strong interest in new technologies, data, and/or apps. 

Nice-to-have:

• Knowledge of CRM software (e.g. Pipedrive, HubSpot, Salesforce, Zendesk, or others) and MS Office (particularly MS Excel) is appreciated.
• Experience with people & project management.

What’s in it for you: We care about you!

• An exciting and fast-growing company with a people-first culture. “Diversity” and “work-life balance” are not just buzzwords at AppTweak.
• Flexibility in your work and opportunities for continuous learning and creative thinking.
• Supportive and collaborative environment focused on personal growth.
• Hybrid office/work from home policy
• Competitive compensation package (fixed + variable)
• 25 days of PTO on top of public holidays and sick days

An inspiring environment

• Chance to connect with various high-profile apps and games across different verticals.
• A unique culture based on 4 values: Learn, Play, Perform, and Friendly.
• Bi-yearly company-wide team building in Europe to meet your colleagues from all over the world.
• A diverse team within a flat hierarchy: we speak more than 15 languages altogether.
• A combination of personal and company growth to accelerate your career and help you reach your goals.
• Regular general team meetings and demo days to ensure everyone is aligned with AppTweak's growth path.

Desired Candidate Profile

• 5+ years technical writing experience
• Proven ability to build a culture of documentation within a company
• Proven understanding of modern software development concepts; the closer your experience level is to being a software developer, the better
• Ability to organize information into an easy-to-understand hierarchy
• Strong time management and prioritization skills
• Ability to learn new technologies quickly, as well as understand why they’re important to our users
• Ability to collaborate cross-functionally with people in all ranks, teams and disciplines across the company

• Developing telemetry software to connect Junos devices to the cloud
• Fast prototyping and laying the SW foundation for product solutions
• Moving prototype solutions to a production cloud multitenant SaaS solution
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Build analytics tools that utilize the data pipeline to provide significant insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with partners including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics specialists to strive for greater functionality in our data systems.

Qualification and Desired Experiences

• Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• 5+ years experiences building data pipelines for data science-driven solutions
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Good team worker with excellent interpersonal skills written, verbal and presentation
• Create and maintain optimal data pipeline architecture,
• Assemble large, sophisticated data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Experience with AWS, S3, Flink, Spark, Kafka, Elastic Search
• Previous work in a start-up environment
• 3+ years experiences building data pipelines for data science-driven solutions
• Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• We are looking for a candidate with 9+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Proven understanding of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and interpersonal skills.
• Experience supporting and working with multi-functional teams in a multidimensional environment.