Data Scientist

Description

Launch Consulting Group (India) | Data Scientist | coimbatore
Launch Consulting Group (India) • Coimbatore, Tamil Nadu
Full–time

Job description
Be a part of our success story. Launch offers talented and motivated people the opportunity to do the best work of their lives in a dynamic and growing company. Through competitive salaries, outstanding benefits, internal advancement opportunities, and recognized community involvement, you will have the chance to create a career you can be proud of. Your new trajectory starts here at Launch.

About Company

About Launch IT Launch IT India is wholly owned subsidiary of The Planet Group ( ) a US company, offers attractive compensation and work environment for the prospective employees. Launch is an entrepreneurial business and technology consultancy. We help businesses and people navigate from current state to future state. Technology, tenacity, and creativity fuel our solutions with offices in Bellevue, Sacramento, Dallas, San Francisco, Hyderabad & Washington D.C.

Data Scientists use their experience creating machine learning (ML) and artificial intelligence (AI) algorithms to solve advanced business problems. Bringing together a multi-disciplinary skillset of statistics/mathematics, computer programming, analytics, and domain expertise, Data Scientists push past typical patterns to find innovative solutions that leverage bleeding edge technologies.

Responsibilities

• Cultivating the skills that are needed for Data Science, including exploratory data analysis, data modeling, predictive modeling, AI/ML, SQL, and specializing areas like deep learning, time series, NLP, and machine vision

• Exploratory Data Analysis – uses statistics and visualization to uncover insights about the data, including the use of dashboards and reports that assess data for its applicability for predictive modeling.

• Data Pre-Processing – creates data flows that for cleaning, augmenting, transforming, and integrating data, including feature engineering and study design considerations, such as splitting data into training, testing, and validation sets for randomized trials or the use or cross validation.

• Predictive Modeling – designs studies and runs experiments for training and testing models that predict future or unknown data based on historical factors.

• Artificial Intelligence – applies state-of-the-art AI algorithms to solving business problem using software to do tasks normally associated with human intelligence, including optical character recognition (OCR), natural language processing (NLP), machine vision, and speech-to-text

• Act as subject matter expert in a specialized area of Data Science, such as NLP, time series, machine vision, process mining, etc.

• Work with databases and data warehouses to explore and understand data

• Work on cloud-based data science platforms to build and deploy models for production

• MLOps – implements AI/ML and predictive solutions for production deployment using agile processes and CI/CD principles.

• Manage workloads and deliverables in a fast-paced environment with constant change

• Communicate with all levels of leadership, and collaborates directly with stakeholders, subject matter experts, domain managers, product owners, and others as needed

• Lead project teams, provide training, and serve as a mentor for other team members

Required Skills + Knowledge

• 5+ years’ relevant experience

• Experience performing analytics work by deriving insights from raw data with statistics, data mining, visualizations, and machine learning techniques using Python, R, and/or other common data science tools

• Experience developing prediction models using correlation, regression, classification, and machine learning algorithms, with an understanding of experimentation and good study design to reduce overfitting

• Experience applying artificial intelligence algorithms and APIs to business solutions, including the advanced use of natural processing, machine vision, or other deep learning applications

• Specialized in one or more advanced predictive modeling techniques such as time series forecasting, clustering and classification, entity resolution, or data

• Ability to write complex SQL queries and an advanced understanding of data concepts

• Experience building data pipelines that process structure and unstructured data

• Experience using cloud-based data science platforms such as Azure ML or AWS SageMaker

• Experience applying MLOps principles for moving code from testing to production and continuously improving solution performance

• Work effectively in a fast-paced and constantly changing environment

• Excellent verbal and written communications skills

• Experience leading project teams and mentoring junior team members

• Preferred Qualifications

• Working with project tracking tools, such Azure DevOps (ADO) or JIRA

• Working with diagramming tools such as Visio or LucidChart

• Experience with cloud database technologies such as Azure Synapse Analytics, Snowflake, AWS Redshift, or GCP BigQuery

• Understanding of user experience and design principles

• Software Development experience

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