Career Opportunities: Technical Lead (43559)

Job Description

Company OverviewIncedo is a US-based consulting, data science and technology services firm with over 3000 people helping clients from our six offices across US, Mexico and India. We help our clients achieve competitive advantage through end-to-end digital transformation. Our uniqueness lies in bringing together strong engineering, data science, and design capabilities coupled with deep domain understanding. We combine services and products to maximize business impact for our clients in telecom, Banking, Wealth Management, product engineering and life science & healthcare industries.Working at Incedo will provide you an opportunity to work with industry leading client organizations, deep technology and domain experts, and global teams. Incedo University, our learning platform, provides ample learning opportunities starting with a structured onboarding program and carrying throughout various stages of your career. A variety of fun activities is also an integral part of our friendly work environment. Our flexible career paths allow you to grow into a program manager, a technical architect or a domain expert based on your skills and interests.Our Mission is to enable our clients to maximize business impact from technology by:

• Harnessing the transformational impact of emerging technologies
• Bridging the gap between business and technology

Role DescriptionAs a Data Scientist at Redaptive, you will have the opportunity to apply machine learning and data science methodologies to help our customers lower their carbon emissions and meet their sustainability goals. You will leverage data, analysis, and Redaptives extensive metering portfolio to identify and resolve challenges in driving energy-efficiency to scale.This role will join a team of data scientists with a diverse set of backgrounds and professional experiences. The ideal candidate for this position has a positive mindset, is not afraid to ask questions, and has a high sense of ownership over their work.This role has an expectation to work daily during India evenings / USA mornings to align with teams across several international time zones including Argentina. (Teams at India are working 3 pm to 11 pm India time to align with US mornings).Technical Skills

• Proficiency writing readable, testable, and maintainable Python code and working within Pythons data ecosystem (Jupyter, NumPy, Pandas, etc.)
• Deep expertise with querying relational databases (SQL), non-relational databases (NoSQL), and RESTful APIs
• Proficiency collaborating through a version control system (Git, GitHub, GitLab, etc.)
• Proficiency building and validating predictive models within the Python ecosystem (scikit-learn, XGBoost, TensorFlow, PyTorch, etc.)
• Proficiency in taking data science and machine learning solutions into a production environment, deploying models (ideally on cloud architecture like AWS, Azure, or GCP), integrating with software systems, retraining and maintenance of production models
• Self-starter able to thrive in a startup environment and work with a high degree of autonomy and positive mindset
• Excellent storytelling skills including the ability to tailor and deliver presentations on complex data analyses to both technical and non-technical audiences
• Strong communication skills and presentation skills
• Tendency towards curiosity and experimentation with a strong attention to detail and business sense

Nice-to-have skillsQualifications

• Bachelors degree (or higher) in statistics, economics, STEM, or similarly quantitative field
• 5 years of professional data science experience
• Experience working with IoT time-series data
• Experience with infrastructure as code (terraform) and CI/CD platforms (circleCI, travisCI)
• Experience working with building efficiency, HVAC systems, and/or energy, water, and gas resources is a plus

Company ValueWe value diversity at Incedo. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Keyskills :
python programming sql experiencemachine learning models data visualization cloud deployment git program manager telecom technical skillsgithub nosql production environment infrastructure