Speech Data Scientist

Avrioc Technologies; Abu Dhabi Emirate; On-site; AED 60,000 - 100,000; Full time

Job summary

Join a forward-thinking company that thrives on innovation and creativity! This role offers an exciting opportunity to work with a talented cross-functional team, focusing on advanced data science to tackle real-world problems. You'll design and implement cutting-edge algorithms, transforming data into actionable insights that influence business strategies. With a strong emphasis on collaboration and leadership, you'll mentor junior data scientists while managing projects that drive significant impact. If you're passionate about data and eager to make a difference, this is the perfect opportunity for you!

Qualifications

• 4+ years of experience in advanced data science and machine learning.
• Hands-on experience with deep learning models and frameworks.

Responsibilities

• Leverage data and applied mathematics to solve business challenges.
• Develop and manage data science projects, delivering actionable insights.

Skills

Machine Learning

Statistical Analysis

Predictive Modeling

Data Visualization

Problem-Solving

Communication Skills

Education

MS in Statistics

MS in Data Analytics

MS in Math

Tools

Python

Java

PyTorch

TensorFlow

Keras

SQL

Spark

AWS

Azure

Linux

Job description

As part of a cross-functional team of engineers, data scientists, and product owners you will be responsible for designing, implementing, optimizing, and evaluating our product algorithms. If you love seeing your ideas blossom through their whole life cycle from concept to governing the interaction with millions of users - then Avrioc is the place to be for you!

Requirements

• MS degree in Statistics, Math, Data Analytics, or a related quantitative field
• 4+ years Professional experience in Advanced Data Science, such as machine translation, text summarization, predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting, optimization
• Experience with one or more Advanced Data Science software languages (Python, Java)
• Hands-on experience with Text to Speech and Speech to text applications (TTS or any equivalent libraries)
• Hands-on experience with Audio waves and Spectograms
• Hands-on experience with Deep Learning models such as Image classification, Object Detection, Style transfer (Vision and / or Text) and similar
• Hands-on experience of a Transformers architecture and experience with text tokens to train transformers from scratch
• Hands-on experience with any of Python DL libraries such as PyTorch, TensorFlow or Keras
• Hands-on experience with working on CUDA backend
• Hands-on experience with Linux system terminal, shell scripting
• Working knowledge of ELK stack and Message Broker queues
• Proven ability to deploy machine learning models from the research environment (Jupyter Notebooks) to production via procedural or pipeline approaches
• Experience with SQL and relational databases, query authoring and tuning as well as working familiarity with a variety of databases including Hadoop / Hive
• Experience with Spark and data-frames in PySpark or Scala
• Strong problem-solving skills; ability to pivot complex data to answer business questions.
• Proven ability to visualize data for influencing.
• Comfortable with cloud-based platforms (AWS, Azure, Google)
• Good planning abilities in order to accurately make project timeline estimates.
• Ability to show initiative and work independently with minimal direction.
• Demonstrate a desire to remain current with industry technologies and standards.
• Self-starter and strong interpersonal skills.
• Good communication and coaching skills

Nice to have

• Comfortable with cloud-based platforms (AWS, Azure)
• Good communication and presentation skills
• Experience with media data (platforms and customer data from either the media agency, technology, or brand side)
• Good appreciation for the Agile / Scrum methodology

Responsibilities & Authorities

• Our primary focus is Data Sciences; leveraging data and applied mathematics to solve business challenges.
• Our Lead Data Scientists have the business acumen to apply Data Scientists to many different business models and situations.
• We expect the Data Science Managers to be excellent communicators with the ability to describe complex concepts clearly and concisely.
• They should be able to work independently in gathering requirements, developing roadmaps, and delivering results.
• Teamwork and Leadership : We work as a team and Data Science Managers lead both by mentoring or managing Data Scientists as well as leading by example.
• Technical know-how : Our Data Scientists have a broad knowledge of a variety of data and mathematical solutions.
• Our work includes statistical analyses, predictive modeling, machine learning, and experimental design.
• We evaluate different sources of data, discover patterns hidden within raw data, create insightful variables, and develop competing models with different machine learning algorithms.
• We validate and cross-validate our recommendations to make sure our recommendations will perform well over time.
• Ability to provide ethical and positive leadership that motivates direct reports and develops their talent and skillset while achieving results.
• Directly manage analyst project work and overall performance, including effective career planning; have difficult conversations and deliver constructive feedback with support from senior management.
• Interview, hire and train new employees.
• Analyze team KPIs, develop solutions and alternative methods to achieve goals.
• Build positive and productive relationships for business growth.
• Problem-solve with management to translate the business problem into a workable Data Science solution; propose different approaches and their pros and cons
• Work with management to get stakeholder feedback, get alignment on approaches, deliverables, and roadmaps
• Develop a project plan including milestones, dates, owners, and risks and contingency plans
• Create and maintain efficient data pipelines, often within clients architecture.
• Typically, data are from a wide variety of sources, internal and external, and manipulated using SQL, Spark, and Cloud big data technologies
• Assemble large, complex data sets from client and external sources that meet functional business requirements.
• Build analytics tools to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
• Perform data cleaning / hygiene, data QC, and integrate data from both client internal and external data sources on Advanced Data Science Platform.
• Be able to summarize and describe data and data issues
• Conduct statistical data analysis, including exploratory data analysis, data mining, and document key insights and findings toward decision making
• Train, validate, and cross-validate predictive models and machine learning algorithms using state of the art Data Science techniques and tools
• Document predictive models / machine learning results that can be incorporated into client-deliverable documentation
• Assist client to deploy models and algorithms within their own architecture

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology
• Industries : Technology, Information and Media, Computer Games, and Software Development