Data Scientist

7 days ago


Bangalore, Karnataka, India Hiret Full time

Job Title: Data Scientist

Years of Experience: 2 - 5 years

Educational 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: Bangalore

Position Type: Full Time

Role Type: Individual Contributor

Reporting to: CEO

Role 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)
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