Sr. Software Engineer - Python Job

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.

At YASH, we're a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth - bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.

We are looking forward to hirePython Professionals in the following areas :

Job description:

Title: Senior Data Scientist

JOB PURPOSE: Client Digital is the digital and technology arm of Client, responsible for bringing world class digital capabilities to our products and services. With over one million connected assets worldwide, we're focused on using IoT and other data, technology, advanced analytics and AI capabilities to help our customers build a better world.

Client Digital's Advanced Data Quality team is looking for a talented and motived Senior Data Scientist to help improve platform data quality by defining and implementing quality metrics, performing root cause analysis of data quality problems, and developing algorithms as well as ML/AI models to address the most challenging data quality issues. In this role, you will apply machine learning and other analytics techniques on a very large set of diverse data from IoT connected assets and our integrated network of dealers. You will also use analytics and visualization methods to solve problems for Client internal customers. Top candidates will have prior experience in developing ML/AI solutions and business intelligence, be proficient in SQL and Python, have experience with cloud computing and dashboard design.

• Design, develop, and maintain Dealer and Enterprise quality dashboards and reports
• Provide analytics support to high profile Helios Data Division Projects
• Use analytics methods to make recommendations to Designers, Product Owners and Managers
• Work independently without close supervision on medium to high complexity projects
• Work on 2-3 projects concurrently

JOB DUTIES: As a Senior Data Scientist you will contribute to design, development, testing and deployment of software systems and/or applications.

• Competent to perform all programming, project management, and development assignments without close supervision normally assigned the more complex aspects of systems work.
• Works directly on complex application/technical problem identification and resolution, including responding to off-shift and weekend support calls.
  
• Works independently on complex systems or infrastructure components that may be used by one or more applications or systems.
• Drives application development focused around delivering business valuable features
  
• Mentor and assist data scientists, providing technical assistance and direction as needed
• Maintains high standards of software quality within the team by establishing good practices and habits
• Identifies and encourage areas for growth and improvement within the team
• Guide the team to develop a structured application/interface code, new program documentation, operations documentation and user guides in a casual, flexible environment
• Communicate with end users and internal customers to help direct development, debugging, and testing of application software for accuracy, integrity, interoperability, and completeness
• Performs integrated testing and customer acceptance testing of components that requires careful planning and execution to ensure timely, quality results.
  
• Employee is also responsible for performing other job duties as assigned by Client management from time to time.

Basic qualifications:

• BS or MS degree in quantitative discipline such as data science, data analytics, computer science, engineering, statistics, mathematics, finance or other related degree
• 7+ years of software development experience or 5+ years of experience with master's degree
• 5+ years of experience in designing and implementing data processing and machine learning frameworks
• 5+ years of experience with Python, NoSQL and relational databases
• 3+ years of experience with SQL

Top candidates will also have:

• MS degree in a quantitative discipline such as data science, data analytics, computer science, engineering, statistics, mathematics, finance or other related degree
  

Proven experience in some of the following:

• Compiling and standardizing diverse, non-sanitized datasets.
• Working with structured and unstructured data.
• Developing classification and regression models.
• Unsupervised learning algorithms.
• Experience integrating analytical models with existing data pipelines.
  
• Solid knowledge of statistical approaches, quantitative analytic methods, data management techniques, and/or related digital technologies, and the ability to handle complex issues.
• Proven experience with AWS full-stack development and services such as Athena, Glue, DynamoDB, EC2, EMR, RDS, S3, SageMaker
• Experience with Snowflake data warehouse
• Experience visualizing data using BI software such as Tableau and MS Power BI
• Good organizational skills and an aptitude for complex analytical and detailed work ability to prioritize among multiple concurrent projects in order to meet deadlines in a timely manner.
• Experience gathering information systematically
• Ability to consider a broad range of issues or factors, grasp complexities and perceive relationships among problems or issues, and use accurate logic in analysis
• Exceptional verbal and written communication skills and ability to engage effectively at all levels of the organization, to both technical and non-technical audiences.
• Ability to work independently or collaboratively in a complex, rapidly changing, and culturally diverse environment.
• Ability to learn and comply with company policies and procedures
• Passion for technology and an eagerness to contribute to a team-orientated environment

At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment.We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.

Our Hyperlearning workplace is grounded upon four principles

• Flexible work arrangements, Free spirit, and emotional positivity
• Agile self-determination, trust, transparency, and open collaboration
• All Support needed for the realization of business goals,
• Stable employment with a great atmosphere and ethical corporate culture