Leading a team of data scientists with roadmap and vision. Planning data projects. Building analytic systems and predictive models. Managing a team of data scientists, and machine learning engineers. Involve in pre-sales and building proposals. Apply strong expertise in machine-learning, deep learning, NLP, data mining, and information retrieval to design, prototype, and build the next-generation analytics engines and services
Responsibilities
Lead data mining and collection procedures
Ensure data quality and integrity
Interpret and analyze data problems
Conceive, plan and prioritize data projects
Build analytic systems and predictive models
Test performance of data-driven products
Visualize data and create reports
Align data projects with organizational goal
Understands business problems and designs end-to-end analytics use cases
Develops complex models and algorithms that drive innovation throughout the organization. This may include improving on-time performance, network planning, etc.,
Conducts advanced statistical analysis to provide actionable insights, identify trends, and measure performance
Collaborates with model developers to implement and deploy scalable solutions
Provides thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders
Qualification & Other Attributes:
8-15 years' experience in a statistical and/or data science role
Proven experience as a Data Scientist or similar role
Strong organizational and leadership skills
Degree in Computer Science, Data Science, Mathematics, or similar field
Deep knowledge and experience in Large Language Models (LLM)
Strong knowledge on Generative AI
Deep knowledge of machine learning, statistics, optimization or related field
Experience in Linear and non-Linear Regression models including Multiple and Multivariate
Experience in Classification models including Ensemble techniques
Experience in Unsupervised models including K-Means, DBSCAN, LOF
Rich Experience in NLP techniques
Experience in Deep Learning techniques like CNN, RNN, GAN, Markov etc (Any 3 or 4)
Strong real-time experience with atleast one of the machine language softwares like R, Python, Matlab is mandatory
Good knowledge in Explainable AI
Experience working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.)
Excellent written and verbal communication skills along with strong desire to work in cross functional teams
Attitude to thrive in a fun, fast-paced start-up like environment
Additional advantage of having experience in semi, unstructured databases like MongoDB, Cassandra, ArangoDB, Couchbase, GraphDB, etc
Optional: programming in C, C++, Java, .Net
Who We Are and What We Do
Aspire Systems is a global technology services firm serving as a trusted technology partner for more than 250 customers across the globe. Aspire works with the world's most innovative enterprises in Banking, Insurance, Retail and ISVs, helping them leverage technology to transform their business in the current digital landscape. Aspire's proven approach to Software Engineering & Digital Technologies helps companies run smart business models. Aspire's core philosophy of
'Attention. Always.'
communicates its belief in lavishing care and attention to its customers and employees.
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Job Detail
Job Id
JD3702554
Industry
Not mentioned
Total Positions
1
Job Type:
Contract
Salary:
Not mentioned
Employment Status
Permanent
Job Location
KA, IN, India
Education
Not mentioned
Experience
Year
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MNCJobsIndia.com will not be responsible for any payment made to a third-party. All Terms of Use are applicable.