Data Scientist

Description

Business Information:

Our Indian Operations Centre (INOPC) is a competence center with around 2600+ skilled engineers who focus on tendering, engineering, planning, procurement, functional system testing, installation supervision, and commissioning. Over the last decade, INOPC has evolved to become the largest engineering hub serving more than 40 countries across different energy sectors. The team caters to the four business units—Transformers, Grid Integration, Grid Automation, High Voltage and has successfully executed engineering and commissioning for projects in more than 80 countries.

Mission statement:

Full responsibility of driving marketing and sales function initiatives along with Pricing specialist to support business for improving profitability, identifying the demand market, behavior analysis of products. Strong technical leadership to the team in analyzing the business by developing models which allow to make efficient decision making to improve business opportunities & profitability. You are responsible for supporting the Sales and Strategic Marketing functions of the global Business Unit (BU) High Voltage in understanding market, competitor trends and Price performance by developing and implementing state-of-the-art data Analytics systems as well as process and tool support.

Your responsibilities:

• Responsible for supporting the Sales and Strategic Marketing functions of the global Business Unit (BU) High Voltage in understanding market, competitor trends and Price performance by developing and implementing state-of-the-art data Analytics model as well as process and tool support.

• Understand the product & market segmentation of portfolio and build know-how of data eco systems in various process involved in Business.

• Prepare reports with clear information understanding the raw information and interpret the date in optimized KPIs (target achievement, Price performance, Order trend, pipeline development, etc), profitability.

• Collaborate with Global, HUB & Pricing specialist to develop and implement competitive strategies, etc.

• Be in charge of the development and updation of models using Python as well as related user training in order to increase the analytical capabilities of our sales management around the globe.

• Responsible to continuously improve process performance and data quality

• Document and follow the guidelines for the efficient business

• Assess data from different sources to gain insights into pricing strategies and market trends.

• Analyze historical sales data to identify trends, patterns, and insights that can drive business decisions.

• Develop and implement predictive models to forecast future sales and demand for power system products.

• Collaborate with CFT to understand business requirements and translate them into analytical solutions.

• Perform data cleaning, preprocessing, and validation to ensure data quality and accuracy.

• Utilize machine learning algorithms and statistical techniques to build robust models.

• Continuously monitor and improve model performance based on feedback and new data.

• Stay updated with the latest industry trends and advancements in data science and machine learning.

• Living Hitachi Energy’s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business

Your background:

• Bachelor's or master's degree in data science, Statistics, Computer Science, or a related field.

• Proven experience in data analysis, modeling, and machine learning.

• Proficiency in programming languages such as Python, R, or SQL.

• Strong understanding of statistical methods and machine learning algorithms.

• Experience with data visualization tools like Tableau, Power BI, or similar.

• Excellent problem-solving skills and attention to detail.

• Ability to work independently and as part of a team.

• Knowledge of big data technologies and cloud platforms.

• Strong communication skills to effectively convey complex analytical concepts to non-technical stakeholders.

• Any graduation (Science, Statistics, Computer applications, Engineering) 4-7 years relevant experience

• Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.

• Attention to detail and a commitment to delivering high-quality digital solutions

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