Data Scientist / Data Engineer
Data Scientist / Data Engineer
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Job Description
Location:
Chennai Tamil Nadu IndiaJob ID:
R0093911Date Posted:
Company Name:
HITACHI ENERGY TECHNOLOGY SERVICES PRIVATE LIMITEDProfession (Job Category):
Sales Marketing & Product ManagementJob Schedule:
Full timeRemote:
NoJob Description:
The opportunity:
Our Indian Operations Centre (INOPC) is a competence center with around 2600 skilled engineers who focus on tendering engineering planning procurementfunctional system testing installation supervision and commissioning. Over the last decade INOPC has evolved to become the largest engineering hub serving morethan 40 countries across different energy sectors. The team caters to the four business unitsTransformers Grid Integration Grid Automation High Voltage and hassuccessfully executed engineering and commissioning for projects in more than 80 countries.
How youll make an impact:
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 Energys core values of safety and integrity which means taking responsibility for your own actions while caring for your colleagues and the business
Your background:
Bachelors or masters degree in data science Statistics Computer Science or a related field.
Any graduation (Science Statistics Computer applications Engineering) 4 -7 years relevant experience
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.
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
Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process.
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Employment Type
Full-Time
