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Data Scientist - Artificial Intelligence/Machine Learning (2-5 yrs) Bangalore | Scientist in Scien1

Hiret

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Data Scientist - Artificial Intelligence/Machine Learning (2-5 yrs) Bangalore

Location:
Bangalore
Description:

Job Title: Data ScientistYears of Experience: 2 - 5 yearsEducational Qualifications: Required/Minimum Qualifications:- B.Tech/B.E/M.E/M.Tech/MSC in Data Science/Computer Science/Statistics/AI/ML or Minimum 3 years professional experience in the field of data science, ML or business intelligence.- 3+ years of experience in building and deployment of machine learning models.Skills Required: - Demonstrated passion for data science and a strong desire to pursue a career in this field.- Experience in extracting and processing large files/data sets.- Experience interpreting model results and translating insights into business recommendations.- Prior experience in application domains such as Manufacturing/Automotive, e-commerce, fintech, Data Science Services, etc., involving agile working practices.Location: BangalorePosition Type: Full TimeRole Type: Individual ContributorReporting to: CEORole Summary / Profile Summary:We are seeking an experienced and highly skilled Data Scientist to join our team. As a Data Scientist, you will be responsible for leading a team of data scientists and driving the development and implementation of data-driven solutions. You will collaborate with cross-functional teams to identify business problems, design analytical approaches, and provide actionable insights.Roles and Responsibilities:- Lead a team of associate data scientists and provide guidance and mentorship to ensure successful project delivery. - Lead and manage projects, ensuring timely delivery and adherence to quality standards.- Design and implement advanced data analysis techniques to extract meaningful insights from complex and large datasets.- Develop and deploy machine learning models to solve business problems and optimize processes.- Assess the effectiveness and accuracy of new data sources and data gathering techniques.- Propose solutions and strategies to business challenges. - Apply domain knowledge to understand business requirements and provide relevant solutions.- Analyze large amounts of information to discover trends and patterns.- Create data visualizations and reports to effectively communicate findings and recommendations to stakeholders.- Ability to understand business concerns and formulate them as technical problems that can be solved using data and ML.- Collaborate with cross-functional teams to identify opportunities for data-driven decision-making and develop strategies to leverage data assets.- Stay updated with the latest advancements in data science, machine learning, and big data technologies to drive innovation within the organization.Soft Skills Required:- Excellent written & Verbal Communication skills to collaborate with cross-functional teams and describe findings to a technical and non-technical audience.- Have a proactive communication and able to challenge existing approach and recommend new advanced machine learning techniques.- Demonstrate leadership by providing thought leadership, mentorship, and training to junior data scientists in the department. - Participate in business diagnostic, problem definition, solution proposal, project design, and resource planning. - Independently lead analytical projects to completion, collaborate with stakeholders and utilize excellent communication skills to gain consensus on the recommendation.- Ability to multitask and meet deadlines in a fast-paced environment.- Self-motivated, detail-oriented, and proactive in identifying opportunities for improvements.- Good Presentation skills to communicate findings and recommendations to Management and stakeholders.- Ability to work independently and as part of a team.- Strong Problem Solving and Analytical Skills.- Strong Analytical Skills to interpret data, generate insights and make data driven decisions.Technical Skills Required:- Strong grasp of Statistics, Mathematical concepts, and algorithms.- Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets. - Familiarity with Scala and Java would be an asset.- Experience with Python libraries such as Pandas, NumPy, SciPy, Scikit-Learn- Experience in programming, knowledge of OOPS principles, knowledge of design patterns and Java.- Experience with variety of machine learning techniques (logistic regression, linear regression, lasso regression, k-means, random forest, XG boost, KNN, SVM, clustering, decision tree, and neural networks).- Must have deployed multiple ML models.- Knowledge of Source Control management tools like GIT, CVS, VSS, Subversion etc.- Expertise with Microsoft Office products; including Excel, PowerPoint, Word.- Knowledge of Data Structures, relational data, and big data platfoms.- Experience using business intelligence tools (e.g., Tableau, Google Data Studio, Power BI) and data frameworks (e.g., Hadoop).- Deep understanding of a specific domain (e.g. , Automotive, finance, healthcare, e-commerce) and the ability to apply domain knowledge to data analysis. (ref:hirist.tech)
Education/experience:
2 To 5 Years
Company:
Hiret
Posted:
June 19 on hirist
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