Position: Data Science Specialist
Company: Softonix
Experience required: 3y
English level: upper

**Project Overview:**
Autobound is an early-stage sales intelligence startup disrupting how companies sell. Autobound's sales enablement platform tells sellers who to contact, what to say, and when to say it. We're starting as a one-stop-shop for outbound sales enablement, with a vision to become the industry-leading platform for business engagement.
Our team is dynamic, diverse, and data-driven. We are technically adept; love building products from the ground up, and we are passionate about data's ability to enhance business interactions.

**Job Description:**
Data Scientist will work closely with the Product and Engineering teams and will be responsible for creating predictive models and algorithms. He/she/they will focus on developing new tools and methods to improve the performance of the Autobound platform and the accuracy of its suggestions. The candidate will possess business intuition and critical thinking to approach problems in innovative ways. The candidate will have excellent communication skills and will be able to convey complex technical information in plain business terms to company executives and advisors.

**The right candidate will:**
- Develop and deploy predictive and generation models to improve the accuracy of our content and contact suggestion engines
- Use one of these: NLP, GPT2, GPT3, BERT, T5, or similar techniques to generate relevant and natural email content that can be used in sales outreach
- Develop and deploy various ML techniques to automate and improve current system functionality
- Continuously experiment and improve on feature improvements.

**To excel in this role, you should be:**
- Motivated and eager to work in a fast-paced technology startup
- Knowledgeable and passionate about data science's application to targeted and personalized B2B advertising, sales, and marketing
- A critical thinker with demonstrated ability to set and attain individual and team goals in complex, resource-strained environments
- An excellent analytical and problem-solver who can communicate effectively to bridge the business and technical teams, even those who are remote
- Excellent verbal and written communication skills

**Required Skills:**
- In-depth understanding of the entire lifecycle of machine learning product development, from inception to production
- 4+ years of proven experience in building suggestion engines and predictive models for sentiment analysis, content generation, and contact/lead scoring
- 4+ years of developing and deploying ML models in R&D and production environments using one of these techniques: NLP, GPT2, GPT Neo, GPT3, BERT, T5 or similar. 
- 6+ years in designing, developing, and implementing big data and/or data science applications
- High level of Proficiency with Python and SQL 
- Solid understanding of CRM solutions (ideally Salesforce)
- Ability to translate business challenges to practical and actionable technical solutions.

**Desired Skills (Optional):**
- Master's Degree or higher in Computer Science or a related field
- Proficiency with scalable data extraction tools
- Implementation and operational knowledge Data and Business Intelligence Analytics tools like Tableau, Looker, Thoughtspot, etc
- Experienced in using AI/ML platforms, technologies, techniques (e.g. TensorFlow, Apache MXnet, Theano, Keras, CNTK, sci-kit-learn, H2O, Spark MLlib, etc)
- Experience developing, testing, and deploying APIs
- Experience building applications based on Microservices Architecture
- Experienced with deploying and managing infrastructures based on Docker, Kubernetes, or OpenStack, and Google Cloud Platform