**This position is open to work remotely from anywhere in Mexico****Who is DigitalOnUs by Tech Mahindra?**At DigitalOnUs, we not only provide Agile and DevOps methodologies to our customers, we have adopted the same within the company as well. Our nimble processes are not mired in red tape, yet robust, flexible and result-oriented. We are Software Engineers, Technical Architects, Cloud and DevOps specialists. But the most important, we are dreamers, creators and challengers. Each day, we strive to make great come alive. Our lemma: "work smart and play hard"Our technology partners are Hashicorp, Cloudbees, Chef, Pagerduty, Docker and SAP.We're looking for a **Data Scientist/ML Engineer****Areas of responsibility**- Identify valuable data sources and automate collection processes.- Undertake preprocessing of structured and unstructured data.- Analyze large amounts of information to discover trends and patterns.- Build predictive models and machine-learning algorithms.**Skills**- 2 - 4 years of experience as a Data Scientist / ML Engineer- Experience in **Python** for data analysis and machine learning- AWS- PySpark- Airflow- Athena**Plus**- DynamoDb**Why will you love this job?**You will be working with a company that is leading its own transformation of the media business by investing in industry-first advertising experiences that drive performance for our advertisers by combining machine learning algorithms with unique rich media executions that are industry-first.We are looking for innovative thinkers who want to be part of a team that designs & builds new products and deploys the latest technologies for multimedia experiences across mobile apps, OTT devices and the web. Team members who are effective communicators and thrive on cross-team collaborations to help build great products that deliver big business impacts at global scale are highly visible in our team.**What you can expect from us**:At DigitalOnUs, what distinguishes us from other teams is the comfortable environment which engenders trust within teams and with our customers. Trust and openness leads to quality, innovation, commitment to deliverables, efficiency and cost-effectiveness for all our customers.- Empathy for your coworkers and our customers is an important part of success here. As an early stage startup, most people wear many hats.- We're growing at a phenomenal pace and we'd like some company.- Hear your voice, nurture your talent and help you strengthen your footprint!- Benefits above the law- Mentorship, and opportunities to grow and learn