Data Science and Analytics (DSA)

ML Developer - DSA

Pune, Maharashtra
Work Type: Full Time

vConstruct, a Pune based international engineering and construction services firm seeks a Data

Science Developer for their Data Science and Analytics team which is a tight-knit group of

analysts and engineers that support all data aspects of DPR business.


Essential Functions and Responsibilities 

• Use machine learning, data mining and statistical techniques to create new, scalable

solutions for business problems

• Analyze and extract relevant information from large amounts of historical business data

to help automate and optimize key processes

• Design, develop and evaluate highly innovative models for predictive learning

• Establish scalable, efficient, automated processes for large scale data analyses model

development, model validation and model implementation

• Work with a variety of data sources - extracting knowledge and actionable information

from massive datasets

• Develop and operate modern data architecture approaches to meet key business

objectives and provide end-to-end data solutions

• Perform extensive data validation/quality assurance analysis within large datasets

• Build proactive data validation automation to catch data integrity issues

• Build analytics tools that utilize the data pipeline to provide actionable insights into

customer acquisition, operational efficiency, and other key business performance

metrics

• Strong ability of solutioning the problem statement using various ML Algorithms

• Ability to build tabular and/or visualization reports as needed

• Work independently and with team members to understand database structure and

business processes

• Work within an Agile methodology to design, develop, test, and implement analytics

and reporting features and functions

• Create queries to provide ad hoc reports, analysis, and datasets based on business

needs.

• Takes the initiative to work with other cross functional teams to solve business

problems.


Skills and Qualifications 

• 2 to 4 years of relevant experience in one of the following areas: Data Science, Machine Learning, Business intelligence or Business analytics

• Upto 2 years of hands-on experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly detection, Pattern detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning

• Good programming skills in Python/ Scala/ Java

• Good to have knowledge about Deep Learning frameworks such as TensorFlow, Theano and others

• Experience in building full stack data science models with various Azure technologies.

• Working knowledge of Azure/AWS or any other cloud platform

• Have exposure in Data warehouse such as Teradata/Oracle/Snowflake/Amazon Redshift.

• Proficiency with statistical analysis tools (e.g., SAS, SPSS, R) and Hands on experience in Statistical Techniques such as Decision Tree, Segmentation, Logistic and Multiple Regression, and others.

• Work on technologies related to NoSQL, SQL and In Memory platform(s)

• Experience in RPA will be added advantage

• Experience working with US or overseas clients will be preferred.


Technical Skills 

• Experience in R or Python to implement statistical models, machine learning, and

analysis (Recommenders, Prediction, Classification, Clustering, etc.)

• Good programming skills in Python/ R/ Scala/ Java

• Experience with common data science toolkits such as R, NumPy, MatLab, Pandas,

Scikit-learn, TensorFlow, Keras etc.

• Excellent understanding of machine learning techniques and algorithms, such as k-NN,

Naive Bayes, SVM, Decision Forests, artificial neural networks

• Experience with relational SQL and NoSQL databases like SQL Server, Oracle, Snowflake

• Reporting & Visualization Tools like Power BI, Looker, SSRS


General 

• Ability to multi-task

• Ability to work in a collaborative team environment

• Strong communication (oral and written) and interpersonal skills required to interact with colleagues and internal customers.

• Excellent at troubleshooting issues

• Ability to develop productive business relationships with internal team members through cooperation, courtesy and professionalism

• Ability to play an integral part in project delivery given tight constraints and uncompromising quality

• Motivated to identify and develop solutions leveraging best practices

• Capable of explaining complex technical issues to clients and internal resources


Education

  • Bachelor’s or Master’s degree in Computer Science /Information technology or related field.

OR

  • Bachelor’s or Master’s degree in Construction with industry recognized course/ certification in Data Science
  • Equivalent academic and work experience can be considered.





About vConstruct: 

vConstruct is a wholly owned subsidiary of DPR Construction and specializes in providing high

quality Building Information Modeling and Construction Technology services geared towards

construction projects. vConstruct presently constitutes of five business units: 1. Virtual

designing and construction 2. Project Control Management 3. Software Development 4.

Accounting Services for Projects and 5. Data Science and Analytics

Core Values of vConstruct are:

• Integrity is Integral

• People are Pivotal

• Ever Forward Spirit


About DPR Construction:

DPR Construction is a national commercial general contractor and construction manager

specializing in technically challenging and sustainable projects for the advanced technology,

biopharmaceutical, corporate office, and higher education and healthcare markets. With the

purpose of building great things—great teams, great buildings, great relationships—DPR is a

truly great company. For more information, please visit www.dpr.com

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